International Journal of Scientific Research in Mechanical and Materials Engineering
type: channel
description: Submit Paper Now! International Journal of Scientific Research in Mechanical and Materials Engineering (IJSRMME) is peer-reviewed, online international journal published Bimonthly by Technoscience Academy. IJSRMME is a highly-selective journal, covering topics that appeal to a broad readership in various branches of Mechanical and Materials Engineering and related fields. The journal has many benefits, all geared toward strengthening research skills and advancing academic careers. Journal publications are a vital part of academic career advancement. To maintain a high-quality journal, manuscripts that appear in the IJSRMME Articles section have been subjected to a rigorous review process. This includes blind reviews by one or more members of the international editorial review board, followed by a detailed review by the IJSRMME editors. Email addresses for submitting articles are ijsrmme@gmail.com, editor@ijsrmme.com JOURNAL INFORMATION Title : International Journal of Scientific Research in Mechanical and Materials Engineering Frequency : Bimonthly E-ISSN : 2457-0435 Publisher : Technoscience Academy [ https://technoscienceacademy.com ] Refereed : Peer Review Copyright : Technoscience Academy, India Starting Year : 2017 Subject : Mechanical and Materials Engineering Language : English Distribution : Open Access Publication Format : PDF & HTML -> Online Document Identifier Type : DOI (https://doi.org/10.32628/IJSRMME ) Email Id : editor@ijsrmme.com, ijsrmme@gmail.com Mobile No. : +91-8160745806 (WhatsApp support only) Website : https://ijsrmme.com
publisher: Technoscience Academy
language: en
publication name: International Journal of Scientific Research in Mechanical and Materials Engineering
issn: 2457-0435
items: Sustainable Nano-fluid-Assisted MQL Machining of Titanium Alloys: A Review of Trends, Barriers, and Future Pathways
items: A Systematic Implementation of Six Sigma for Productivity Enhancement in Small-Scale Engineering Industries
items: Mechanical Characterization and End-Use Determination for composites made with Flax-LDPE Wastes
items: Design and Development of a Cost-Effective Hydraulic Screw Jack-Based Punch-Die System for Small-Scale Manufacturing
items: Investigating of Hard Turning of Automotive Gears with Polycrystalline Copper Nitride (PCBN) Tools as a Substitute for Grinding
items: A Review Paper on Hard Turning of Automotive Gears with Polycrystalline Copper Nitride Tools as a Substitute for Grinding
items: Analysis of Falling Ball under the Influence of Gravity using MSC Adams
items: Optimizing EDM Process Parameters for Enhanced Surface Finish and Metal Removal Rate (MRR)
items: Mechanical and Thermal Properties of Nano-Sio2 Epoxy Coir Fiber Reinforced Composites with Conventional Epoxy-Based Composites
items: A Review on Aircraft Manufacturing System Design based on Ergonomic Simulation
items: Reviewing the Advances in Photovoltaic Materials for Solar Energy: A Global Perspective
items: Sustainable Retrofitting of Existing Buildings: Techniques and Case Studies
items: Systematic Review of Mobile Learning Models for Enhancing STEM Access in Public Secondary Schools
items: A Conceptual Model for BIM-Driven Geospatial Architecture: Rethinking Site Analysis and Spatial Intelligence in Early Design Stages
items: Effect, Performance and Conversion of Plastic to Crude Oil
items: AgroMax : Development of Low-Cost, Android-Controlled Spraying Robot Towards Smart Agriculture
items: Enhancement of Process Parameters for CNC Turning Of Stainless Steel Utilizing a Coated Tool
items: Using Optimization Technique, Friction Welding Process Parameters Are Experimentally Evaluated and Optimized On Identical Materials
items: A Review Paper on Friction Welding Process Parameters on Identical Materials Are Experimentally Evaluated and Using Optimization Technique
items: A Review Paper on Enhancement of Process Parameters for CNC Turning Of Stainless Steel Utilizing a Coated Tool
items: Enhanced Probabilistic K-Means Clustering for Student Course Classification
items: Assessing an Effective Approach for Adjusting Casting Process Parameters through Optimization
items: A Review Paper on Assessing an Effective Approach for Adjusting Casting Process Parameters through Optimization
items: Sustainable Power Generation : A Hybrid Approach using Solar Energy and Vertical Axis Wind Turbines
items: Development of Automatic Gas Detector System for Prevention of Fire and Life Hazards
items: Design and Implementation of a PWM-Based Speed Controller with Overcurrent and Overtemperature Protection for Electric Bicycles
items: Comparative Study of Sustainable Water Pollution Management in Godavari River in Nashik City
items: Automatic Recloser System of Transformer Using PLC and Scada
items: A Night Vision Patrolling Robot with Sound Sensor for Intelligent Security
items: A Review on Enhancement of Friction Stir Welding (FSW) Settings for Microstructural Assessment and Mechanical Characteristics on Aluminium 6082 and Copper Joints

Sustainable Nano-fluid-Assisted MQL Machining of Titanium Alloys: A Review of Trends, Barriers, and Future Pathways
type: item
description: This review presents an integrated assessment of the current state-of-the-art in sustainable machining, with particular emphasis on advanced lubrication and cooling strategies for titanium alloys. Given the high strength, low thermal conductivity, and chemical reactivity of titanium alloys, selecting environmentally responsible and effective machining approaches is essential. The review critically examines the growing use of nanoparticle-amended vegetable oils in Minimum Quantity Lubrication (MQL) systems, highlighting their tribological advantages, enhanced heat dissipation, improved wettability, and positive influence on tool wear, cutting forces, surface integrity, and overall machining efficiency. Complementary sustainable techniques including cryogenic cooling, hybrid cooling–lubrication methods, waste-reduction practices, and energy-efficient process optimization are also evaluated to position nano-enhanced MQL within the broader framework of green manufacturing. The discussion further incorporates sustainable manufacturing principles focused on reducing machining stages, minimizing material and energy consumption, and improving operational efficiency. By synthesizing current knowledge and identifying critical research gaps related to nanoparticle stability, high-speed lubrication delivery, mist formation, and environmental impact, this review contributes to directorial future studies toward more resource-efficient, eco-friendly, and high-performance machining solutions for titanium alloys.
subject: Research Articles
  topic: section
subject: Sustainable Machining
  topic: keywords
subject: Minimum Quantity Lubrication (MQL)
  topic: keywords
subject: Nanofluids
  topic: keywords
subject: Titanium Alloys
  topic: keywords
creator: Samir D. Jariwala
creator: Shashank Thanki
rights: Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0
date: 2025-11-20
publication date: 2025-11-20
starting page: 01
ending page: 19
doi: 10.32628/IJSRMME25961

A Systematic Implementation of Six Sigma for Productivity Enhancement in Small-Scale Engineering Industries
type: item
description: In today’s highly competitive manufacturing environment, small-scale industries encounter significant challenges in maintaining consistent productivity and quality due to resource constraints and process variability. This study presents a systematic application of the Six Sigma DMAIC (Define–Measure–Analyze–Improve–Control) methodology for productivity enhancement in a small-scale engineering enterprise, Prismetic Industries. The research adopts a case-based approach, integrating process mapping, measurement system analysis, and statistical tools to identify and mitigate sources of inefficiency in machining operations. During the Define and Measure phases, key process parameters and critical-to-quality characteristics were identified to establish a baseline understanding of process performance. Detailed analysis revealed that inconsistencies in tool wear, fixture setup, and inspection practices were the primary causes of variation affecting both quality and throughput. Focused improvement actions were implemented through preventive maintenance, standardization of setup procedures, and operator training programs, resulting in marked improvement in process stability, quality consistency, and overall productivity. The Control phase emphasized long-term sustainability of these improvements through regular process monitoring, control charts, and visual management techniques. The results confirmed that the Six Sigma approach not only improved operational performance but also enhanced process discipline and employee engagement across the organization. This study demonstrates that with structured methodology, management commitment, and team collaboration, small-scale industries can effectively achieve productivity enhancement and quality improvement using Six Sigma principles.
subject: Research Articles
  topic: section
subject: Six Sigma
  topic: keywords
subject: DMAIC methodology
  topic: keywords
subject: process improvement
  topic: keywords
subject: productivity enhancement
  topic: keywords
subject: small-scale manufacturing
  topic: keywords
subject: process capability
  topic: keywords
subject: quality control
  topic: keywords
subject: Prismetic Industries
  topic: keywords
creator: Amarishkumar J Patel
creator: Sunilkumar N Chaudhari
rights: Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0
date: 2025-10-20
publication date: 2025-10-20
starting page: 28
ending page: 43
doi: 10.32628/IJSRMME25955

Mechanical Characterization and End-Use Determination for composites made with Flax-LDPE Wastes
type: item
description: In this research work, fibre, sliver and yarn wastes of flax and LDPE wastes are used to produce composite products for fencing and boarding panel applications. With fibre to matrix volume fraction of 50:50 and for the pre planned production of 1kg of composite product, the materials have been weighed and using compression moulding machine composite samples have been produced. Mechanical testing and characterizations have been made for; impact resistance, tensile, compression and flexural strength performances. In almost all the characterizations made, the flax-LDPE composite product shows comparable and better performance properties in comparison to the commercially available fencing and boarding panel products.
subject: Research Articles
  topic: section
subject: Flax
  topic: keywords
subject: LDPE
  topic: keywords
subject: Compression moulding
  topic: keywords
subject: Composite
  topic: keywords
subject: Fencing
  topic: keywords
subject: Mechanical characterization
  topic: keywords
subject: boarding panel
  topic: keywords
creator: Neway Seboka
rights: Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0
date: 2025-10-20
publication date: 2025-10-20
starting page: 20
ending page: 27

Design and Development of a Cost-Effective Hydraulic Screw Jack-Based Punch-Die System for Small-Scale Manufacturing
type: item
description: This paper presents the design and development of a cost-effective punch-die system integrated with a hydraulic screw jack for small-scale sheet metal manufacturing applications. Conventional punching machines are often expensive, bulky, and dependent on external power sources, making them unsuitable for rural workshops, cottage industries, and educational laboratories. The proposed system addresses these limitations through a compact, frame-based design fabricated from mild steel and equipped with a 10-ton manual hydraulic screw jack. The punch and die, manufactured from EN31 and H13 tool steels, respectively, ensure durability and precision in operations such as washer fabrication. Finite Element Analysis (FEA) was conducted to evaluate stress distribution and load-bearing capacity, confirming structural safety and minimal deflection under maximum load conditions. Experimental validation demonstrated consistent punching performance for mild steel sheets up to 3–5 mm thickness, with accurate force transmission, safety, and ease of operation. The system is portable, low-maintenance, and adaptable through interchangeable die sets, making it a versatile tool for training, prototyping, and small-scale production. By eliminating dependence on electricity and high-cost machinery, this design provides a practical solution for resource-constrained environments and offers significant potential for adoption in MSMEs and vocational education.
subject: Research Articles
  topic: section
subject: Punch-die system
  topic: keywords
subject: Hydraulic screw jack
  topic: keywords
subject: Frame design
  topic: keywords
subject: Cost-effective manufacturing
  topic: keywords
subject: Sheet metal punching
  topic: keywords
subject: Small-scale industries
  topic: keywords
creator: Mohsin Lalabhai Shaikh
creator: Vishal Suresh Kadam
rights: Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0
date: 2025-10-10
publication date: 2025-10-10
starting page: 18
ending page: 19

Investigating of Hard Turning of Automotive Gears with Polycrystalline Copper Nitride (PCBN) Tools as a Substitute for Grinding
type: item
description: A traditional machining process, grinding, is used for finishing of hardened automotive gears with complex shapes and forms. The main limitations associated with the grinding process for such type of components are multiple setups, low productivity, less flexibility, high equipment cost, high production cost, and environmental issues related to disposal of used up coolant and grinding dust. In view of such limitations, an alternate machining method hard turning is studied in this article for finishing of the gears. The gears material is 20Mn5Cr5 steel was attained through heat treatment. In these experiments, we were conducted with PCBN tools. The CNC turning centre was used for conducting hard turning. The machining parameters: feed rate (f), depth of cut and cutting speed (vc) to be taken on response attributes: surface roughness and the tool wear. Taguchi DOE, ANOVA, and S/N ratio methods have been applied for optimization. In this study, the roughness of surface and accuracy of quality performance characteristics such as cylindricity, circularity, and straightness obtained in both the processes (hard turning and grinding) were compared. An economic analysis has been conducted for evaluating the potential of hard turning to replace grinding for short machining length components. As the result, feed rate (61%) and depth of cut (36%) highly affects the surface roughness but the cutting speed was insignificant parameter with contribution of (<2 %). The tool wear was affected most by cutting speed with a contribution of 78%. In this paper, it reported that hard turning is an alternate machining technology to cylindrical grinding in machining of hardened automotive gears using a PCBN tool on a modern CNC turning centre.
subject: Research Articles
  topic: section
subject: Grinding
  topic: keywords
subject: Hard Turning
  topic: keywords
subject: Gear
  topic: keywords
subject: PCBN
  topic: keywords
subject: Taguchi
  topic: keywords
subject: CNC
  topic: keywords
creator: Aadesh Yadav
creator: Mr. Dinesh Dubey
rights: Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0
date: 2025-09-10
publication date: 2025-09-10
starting page: 08
ending page: 17

A Review Paper on Hard Turning of Automotive Gears with Polycrystalline Copper Nitride Tools as a Substitute for Grinding
type: item
description: A traditional machining process, grinding, is used for finishing of hardened automotive gears with complex shapes and forms. The main limitations associated with the grinding process for such type of components are multiple setups, low productivity, less flexibility, high equipment cost, high production cost, and environmental issues related to disposal of used up coolant and grinding dust. In view of such limitations, an alternate machining method hard turning is studied in this article for finishing of the gears. The gears material is 20Mn5Cr5 steel was attained through heat treatment. In these experiments, we were conducted with PCBN tools. The CNC turning centre was used for conducting hard turning. The machining parameters: feed rate (f), depth of cut and cutting speed (vc) to be taken on response attributes: surface roughness and the tool wear. Taguchi DOE, ANOVA, and S/N ratio methods have been applied for optimization. In this study, the roughness of surface and accuracy of quality performance characteristics such as cylindricity, circularity, and straightness obtained in both the processes (hard turning and grinding) were compared. An economic analysis has been conducted for evaluating the potential of hard turning to replace grinding for short machining length components.
subject: Research Articles
  topic: section
subject: Grinding
  topic: keywords
subject: Hard Turning
  topic: keywords
subject: Gear
  topic: keywords
subject: ANOVA
  topic: keywords
subject: Taguchi
  topic: keywords
creator: Aadesh Yadav
creator: Mr. Dinesh Dubey
rights: Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0
date: 2025-09-10
publication date: 2025-09-10
starting page: 01
ending page: 07

Analysis of Falling Ball under the Influence of Gravity using MSC Adams
type: item
description: The paper focusses on the analysis of falling ball from a certain height under the influence of gravity. The analysis includes study of displacement, velocity and acceleration of the falling ball. The study is carried out in MSC Adams software. This includes mechanical modelling of the system, setting the initial conditions and simulating the model to understand the characteristics. Verification of the model is also carried out.
subject: Research Articles
  topic: section
subject: Analysis
  topic: keywords
subject: Falling Ball
  topic: keywords
subject: MSC Adams
  topic: keywords
creator: Dr. H M Naveen
rights: Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0
date: 2025-07-10
publication date: 2025-07-10
starting page: 17
ending page: 21
doi: 10.32628/IJSRMME25943

Optimizing EDM Process Parameters for Enhanced Surface Finish and Metal Removal Rate (MRR)
type: item
description: Electrical Discharge Machining (EDM) has emerged as a vital non-traditional machining process for producing complex geometries and machining hard-to-cut materials with high precision. Unlike conventional methods, EDM relies on thermoelectric energy in the form of controlled electrical discharges between the tool and workpiece immersed in a dielectric medium. Among the critical challenges in EDM, achieving a balance between material removal rate (MRR) and surface finish has been widely acknowledged. Higher discharge energy generally enhances MRR but deteriorates surface quality, while lower energy settings improve smoothness at the cost of reduced productivity. This study investigates the underlying mechanisms governing this trade-off and explores process parameter optimization for simultaneous improvement in MRR and surface finish. Experimental trials were conducted using varying pulse currents, discharge voltages, and duty cycles to evaluate their effects on machining performance. Surface roughness (Ra) was measured using a profilometer, while MRR was calculated based on weight loss method. The results reveal that moderate discharge energy combined with optimized duty cycle significantly improves MRR without compromising surface smoothness. The thermal and physical mechanisms, including controlled crater formation and plasma channel stabilization, are identified as key contributors to this improvement. The experimental findings demonstrate that optimized pulse current and duty cycle lead to an improvement of up to 20–25% in MRR while simultaneously reducing surface roughness by nearly 15% compared to conventional settings.
subject: Research Articles
  topic: section
subject: Electrical Discharge Machining
  topic: keywords
subject: Material Removal Rate
  topic: keywords
subject: Surface Roughness
  topic: keywords
subject: Process Optimization
  topic: keywords
subject: Discharge Energy
  topic: keywords
subject: Thermal Mechanism
  topic: keywords
creator: Nishant Mani
creator: Dr. Rahul Mishra
rights: Copyright (c) 2024 https://creativecommons.org/licenses/by/4.0
date: 2024-10-30
publication date: 2024-10-30
starting page: 27
ending page: 36
doi: 10.32628/IJSRMME24854

Mechanical and Thermal Properties of Nano-Sio2 Epoxy Coir Fiber Reinforced Composites with Conventional Epoxy-Based Composites
type: item
description: Comprehensive analysis of nano-SiO2-reinforced epoxy composites and compared them with commonly used coir fabric. For both static and dynamic applications, coir fabric composites were considered as suitable material due to their strength and biodegradability. In this research, 15 nm SiO2 nano powder was used as a filler. Several composite laminates with different filler concentrations of 2%, 3%, and 5% SiO2 by weight of the epoxy resin were fabricated using hand lay-up method (LY556). Various testing methods, including tensile testing, impact testing, wear testing, moisture absorption testing, and thermogravimetric analysis (TGA), were employed to evaluate the properties of the final composite. The results indicated that the mechanical and thermal characteristics of the produced composite were significantly influenced by the filler material.
subject: Research Articles
  topic: section
creator: Vishav Gupta
creator: Dr. Sandeep Gandotra
creator: Dr. Naveen Beri
rights: Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0
date: 2025-07-10
publication date: 2025-07-10
starting page: 11
ending page: 16
doi: 10.32628/IJSRMME25942

A Review on Aircraft Manufacturing System Design based on Ergonomic Simulation
type: item
description: The way aircraft are manufactured plays a crucial role in shaping efficiency, costs, and overall quality in the aerospace industry. This study delves into the key principles, methodologies, and technological advancements that define modern aircraft manufacturing system design. It examines both traditional and emerging approaches, such as assembly line optimization, automation, digital twin technology, and Industry 4.0 applications. Additionally, it explores how lean manufacturing, Just-In-Time (JIT) production, and additive manufacturing (3D printing) are helping to improve efficiency and reduce waste. Beyond the technical aspects, this research also highlights some of the major challenges in aircraft manufacturing, including complex supply chains, material selection, precision engineering, and regulatory compliance. By analysing case studies from leading aerospace manufacturers, the study uncovers best practices and the latest trends shaping the industry. Through real-world examples, it provides insights into how companies refine their production processes to meet growing demands for safety, sustainability, and cost-effectiveness. This research adds to the existing body of knowledge by offering an in-depth look at how aircraft manufacturing is evolving. The findings can serve as a valuable resource for aerospace manufacturers, engineers, and policymakers looking to make informed decisions about improving production efficiency, reducing costs, and enhancing aircraft performance. Ultimately, this paper highlights the importance of integrating advanced technologies and lean methodologies to build a more sustainable and efficient future for aircraft manufacturing.
subject: Research Articles
  topic: section
subject: Aircraft Manufacturing
  topic: keywords
subject: System Design
  topic: keywords
subject: Automation
  topic: keywords
subject: Lean Manufacturing
  topic: keywords
subject: Industry 4.0
  topic: keywords
subject: Digital Twin
  topic: keywords
subject: Aerospace Engineering
  topic: keywords
creator: Veer Zaveri
rights: Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0
date: 2025-07-10
publication date: 2025-07-10
starting page: 01
ending page: 10
doi: 10.32628/IJSRMME25941

Reviewing the Advances in Photovoltaic Materials for Solar Energy: A Global Perspective
type: item
description: The quest for sustainable and clean energy sources has propelled intense research and development in the field of photovoltaics, aiming to harness solar energy efficiently. This Review reviews the recent advances in photovoltaic materials on a global scale, providing a comprehensive overview of the innovations that hold promise for enhancing the efficiency, durability, and cost-effectiveness of solar energy conversion technologies.The rapid evolution of photovoltaic materials has been driven by the need to address the challenges associated with traditional silicon-based solar cells. This review explores the emergence of novel materials, such as perovskites, organic polymers, and quantum dots, which have exhibited remarkable photovoltaic properties. Perovskite solar cells, in particular, have garnered attention for their low-cost fabrication, ease of scalability, and competitive power conversion efficiencies, heralding a paradigm shift in the solar energy landscape.Moreover, the global perspective presented in this review highlights the collaborative efforts of researchers, industries, and policymakers across diverse regions. Regions such as Asia, Europe, and North America have witnessed significant investments and strategic initiatives aimed at advancing photovoltaic technologies. The exploration of regional approaches and trends offers valuable insights into the diverse strategies employed to propel the adoption of solar energy on a global scale.Furthermore, the review delves into breakthroughs in material engineering, including advancements in thin-film technologies, tandem solar cells, and innovative manufacturing processes. These breakthroughs not only contribute to improving the performance of photovoltaic devices but also pave the way for the integration of solar energy solutions into various applications, from portable electronics to building-integrated photovoltaics.In conclusion, this Review provides a snapshot of the dynamic landscape of photovoltaic mater…
subject: Research Articles
  topic: section
subject: Advances
  topic: keywords
subject: Photovoltaic
  topic: keywords
subject: Materials
  topic: keywords
subject: Solar
  topic: keywords
subject: Energy
  topic: keywords
creator: Ojong Felix Enow
creator: Andrew Tochukwu Ofoedu
creator: Ebimor Yinka Gbabo
creator: Possible Emeka Chima
creator: Oluwapelumi Joseph Adebowale
rights: Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0
date: 2025-05-30
publication date: 2025-05-30
starting page: 57
ending page: 71
doi: 10.32628/IJSRMME259227

Sustainable Retrofitting of Existing Buildings: Techniques and Case Studies
type: item
description: Retrofitting existing buildings for sustainability has become a critical endeavor in the quest for more energy-efficient and environmentally friendly built environments. This abstract explores the techniques and case studies associated with sustainable retrofitting, highlighting the challenges, benefits, and best practices in this field. The sustainable retrofitting of existing buildings involves the application of innovative technologies and strategies to improve energy efficiency, reduce environmental impact, and enhance occupant comfort. Techniques such as improved insulation, energy-efficient lighting, and HVAC system upgrades are commonly employed to achieve these goals. Additionally, the integration of renewable energy sources, such as solar panels and wind turbines, can further enhance the sustainability of retrofitted buildings. Several case studies illustrate the successful implementation of sustainable retrofitting techniques. For example, the Empire State Building in New York City underwent a comprehensive retrofitting project that resulted in a 38% reduction in energy consumption and a 105,000 metric ton reduction in greenhouse gas emissions annually. Similarly, the Bullitt Center in Seattle, Washington, is a net-zero energy building that was retrofitted to achieve high levels of energy efficiency and environmental sustainability. Challenges associated with sustainable retrofitting include high initial costs, technical complexities, and the need for skilled labor. However, the long-term benefits, such as reduced energy bills, increased property value, and a smaller environmental footprint, outweigh these challenges. Best practices for sustainable retrofitting include conducting a thorough energy audit, engaging with stakeholders, and selecting cost-effective and environmentally friendly technologies. In conclusion, sustainable retrofitting of existing buildings is a key strategy for achieving energy efficiency and environmental sustainability in the buil…
subject: Research Articles
  topic: section
subject: Sustainable
  topic: keywords
subject: Retrofitting
  topic: keywords
subject: Existing Buildings
  topic: keywords
subject: Techniques
  topic: keywords
subject: Case Studies
  topic: keywords
creator: Ojong Felix Enow
creator: Ebimor Yinka Gbabo
creator: Andrew Tochukwu Ofoedu
creator: Possible Emeka Chima
creator: Oluwapelumi Joseph Adebowale
rights: Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0
date: 2025-05-30
publication date: 2025-05-30
starting page: 40
ending page: 56
doi: 10.32628/IJSRMME259226

Systematic Review of Mobile Learning Models for Enhancing STEM Access in Public Secondary Schools
type: item
description: This systematic review explores the landscape of mobile learning models designed to enhance access to STEM education in public secondary schools. Drawing upon theoretical frameworks such as constructivism, socio-cultural learning, and cognitive load theory, the study critically analyzes typologies of mobile learning—including content delivery systems, collaborative platforms, and adaptive learning technologies—and assesses their pedagogical relevance and contextual implementation. The review identifies a diverse range of models that demonstrate potential in improving learner engagement, personalization, and inclusion within STEM subjects. Despite these innovations, the study reveals persistent barriers that hinder effective deployment, including technological limitations, infrastructural disparities, policy fragmentation, and insufficient teacher training. Institutional readiness, curriculum integration, and sustainable funding are highlighted as essential enablers for scaling mobile learning solutions in both urban and rural settings. The paper concludes by offering actionable recommendations for educators, policymakers, and school leaders, and outlines critical directions for future research aimed at fostering equitable, scalable, and culturally responsive mobile learning ecosystems in STEM education.
subject: Research Articles
  topic: section
subject: Mobile Learning
  topic: keywords
subject: STEM Education
  topic: keywords
subject: Public Secondary Schools
  topic: keywords
subject: Educational Technology
  topic: keywords
subject: Digital Equity
  topic: keywords
subject: Instructional Design
  topic: keywords
creator: Ginikachi Prisca Ifenatuora
creator: Olanrewaju Awoyemi
creator: Fadeke Adeola Atobatele
rights: Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0
date: 2025-05-29
publication date: 2025-05-29
starting page: 28
ending page: 39
doi: 10.32628/IJSRMME259225

A Conceptual Model for BIM-Driven Geospatial Architecture: Rethinking Site Analysis and Spatial Intelligence in Early Design Stages
type: item
description: This paper proposes a conceptual model for integrating Building Information Modeling (BIM) with geospatial intelligence to enhance early-stage architectural design and spatial decision-making in large-scale urban infrastructure planning. Grounded in cognitive load theory, geodesign, and parametric design principles, the framework addresses the complexity and fragmentation of contemporary site analysis by enabling dynamic, data-rich, and spatially sensitive workflows. The model foregrounds the synergistic use of digital twins, spatial decision support systems, and algorithmic design to improve design cognition, stakeholder engagement, and resilience planning. By emphasizing interoperability and iterative feedback loops, the framework facilitates adaptive, climate-responsive infrastructure development, particularly suited for emerging economies facing rapid urbanization challenges. The study further explores institutional and cultural barriers to BIM-GIS adoption, proposing strategic pathways for education, governance, and professional transformation. Ultimately, this research advances theoretical discourse on smart urbanism and provides actionable insights for architects, planners, and policymakers aiming to future-proof infrastructure through integrated digital-spatial methodologies.
subject: Research Articles
  topic: section
subject: BIM-GIS Integration
  topic: keywords
subject: Spatial Intelligence
  topic: keywords
subject: Cognitive Load Theory
  topic: keywords
subject: Geodesign
  topic: keywords
subject: Digital Twins
  topic: keywords
subject: Urban Infrastructure Planning
  topic: keywords
creator: Ahmad M. Abushab
creator: Raed Farah
creator: Ahmad M. Hamdan
rights: Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0
date: 2025-05-03
publication date: 2025-05-03
starting page: 14
ending page: 27
doi: 10.32628/IJSRMME259224

Effect, Performance and Conversion of Plastic to Crude Oil
type: item
description: Plastic was invented by Alexander Parkes in 1860. Plastics have become a crucible part in today’s world. Due to their light weight, durability, design flexibility, they are excessively used in industry as well as household and other fields. The demand for plastic is increasing day by day which now pose a tremendous threat to the environment. The study focus on the design and fabrication of machine to convert plastic into oil as an effort in finding environment-friendly means of waste recycling by means of pyrolysis. It is an alternative solution to increasing problem of waste disposal. Pyrolysis keeps running without oxygen and in high temperature of around 250°C for which reactor is manufactured to give the expected temperature to the response. The waste plastics are subjected to depolymerization, pyrolysis, catalytic cracking and fractional distillation to obtain different value added fuels such as petrol, kerosene, and diesel. Our Project deals with the extraction of oil from the waste plastics termed as plastic pyrolysed oil which can be marketed at much cheaper rates compared to that present in the market. As we know that both Plastics and Petroleum derived fuels are Hydrocarbons that contain the elements of Carbon & Hydrogen. Pyrolysis process becomes an option of waste-to-energy technology to deliver bio-fuel to replace fossil fuel. The advantage of the pyrolysis process is its ability to handle unsort and dirty plastic. The pre-treatment of the material is easy. Plastic is needed to be sorted and dried. Pyrolysis is also nontoxic or non-environmental harmful emission unlike incineration. In this investigation, plastic waste (poly propylene) are utilized for pyrolysis to get fuel oil that has comparable physical properties as the energizes like petroleum, diesel and so on Converting waste plastics into fuel hold great promise for both the environmental and economic scenarios.
subject: Research Articles
  topic: section
creator: Dr. Vinod Kumar Biradar
rights: Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0
date: 2025-05-03
publication date: 2025-05-03
starting page: 08
ending page: 13

AgroMax : Development of Low-Cost, Android-Controlled Spraying Robot Towards Smart Agriculture
type: item
description: Pesticide and herbicide applications play a critical role in safeguarding crops from pests and diseases. However, conventional manual spraying techniques are often inefficient, labor-intensive, and pose serious health risks to farmers due to prolonged exposure to harmful chemicals. These methods also tend to result in uneven chemical distribution and excessive usage, contributing to environmental concerns. Moreover, conventional approaches struggle to effectively target pests hidden beneath foliage, leading to suboptimal pest control. In response to these challenges, this research presents the design and development of an autonomous agricultural spraying robot aimed at enhancing precision, safety, and sustainability in modern farming. The system is equipped with sensors, a live-feed camera, and automated spraying nozzles, enabling real-time monitoring and targeted application of pesticides. This approach minimizes chemical wastage, reduces environmental impact, and enhances the effectiveness of pest management. By automating the spraying process, the robot also limits human exposure to hazardous substances, creating a safer working environment for agricultural workers. Additionally, the robot is powered by a rechargeable battery, making it an eco-friendly solution suitable for repetitive field operations. Designed for versatility, it can adapt to various crops and farm layouts, offering functions beyond spraying, such as grass cutting. This study demonstrates the potential of robotic automation in transforming conventional agricultural practices by providing a cost-effective, scalable, and sustainable solution. The proposed system contributes to increased productivity, and improved pest control, and supports the transition toward more environmentally responsible farming methods.
subject: Research Articles
  topic: section
subject: Agricultural Robot
  topic: keywords
subject: Crops
  topic: keywords
subject: Microcontroller
  topic: keywords
subject: SP32
  topic: keywords
subject: Arduino
  topic: keywords
subject: Sprayer
  topic: keywords
creator: Shivam Khairnar
creator: Ishwari Nikam
creator: Anushka Biaragi
creator: Shinde Sanika
creator: Amol P Vadnere
rights: Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0
date: 2025-05-03
publication date: 2025-05-03
starting page: 01
ending page: 07

Enhancement of Process Parameters for CNC Turning Of Stainless Steel Utilizing a Coated Tool
type: item
description: The global environmental awareness is increased, and environmental regulations become more stringent, the negative effects of cutting fluids on the environment are becoming more apparent. At present, in high-productivity manufacturing enterprises, the supply, maintenance and recycling costs of cutting fluids account for 13%-17% of the manufacturing cost of the workpiece. In Computer Numerical Control turning of hard materials such as steels, cast iron and super alloys, involves high cutting forces, leads to more power consumption and decreasing tool life which may increases the machining cost. To make machining process environment friendly with minimizing cost of machining, dry cutting is the best solution. Current research work presents optimization of process parameters (cutting speed, feed rate and depth of cut) to minimize cutting forces and surface roughness for dry CNC turning of stainless steel (AISI 52100) using Titanium Aluminum Nitride (TiAlN) coated tungsten carbide tool. Design of experiments is conducted using well known Taguchi‘s L27 orthogonal array to collect cutting forces and surface roughness data. Optimization of process parameters for cutting forces is done using Taguchi method in Minitab software. The predictive model and optimization of surface roughness is done using Response surface methodology (RSM) in Minitab software. The significance of process parameters on responses is studied using developed model. The depth of cut is found to have more significance on cutting forces, followed by cutting speed. The feed rate is found to have more significance on surface roughness, followed by cutting force.
subject: Research Articles
  topic: section
subject: Cutting forces
  topic: keywords
subject: productivity
  topic: keywords
subject: Computer Numerical Control
  topic: keywords
subject: machining
  topic: keywords
subject: coated tool
  topic: keywords
subject: surface roughness
  topic: keywords
creator: Sushmit Kumar Diwakar
creator: Mr. Abhinav Kumar
rights: Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0
date: 2025-04-28
publication date: 2025-04-28
starting page: 101
ending page: 110

Using Optimization Technique, Friction Welding Process Parameters Are Experimentally Evaluated and Optimized On Identical Materials
type: item
description: In fabrication industry, joining processes play a very important role. Among various joining processes, welding process has more strength as compared to other joining processes. Friction welding is a solid state welding, which is used to join similar or dissimilar materials by applying pressure and without the need of filler materials for heat production. Also, friction welded joints can produce welds that are superior in strength of the parent material. Friction welding enables similar or dissimilar materials to be joined together by sliding one material against the other under pressure. Friction welding process includes upset time, upset pressure, and heating time, heating pressure and rotating speed. In this experimental work, friction joints are carried out by centre lathe machine. In this experimental work, metal joining were made by using centre lathe machine, welding of similar materials are done using the input process parameters like spindle speed, heating pressure, upset time, upset pressure, heating time, material to be welded, component size and configuration based on the literature review. Then the welded joints are tested to study and analyse the mechanical properties like axial shortening, hardness and impact strength to get the improved quality of welded joints and to optimize the process parameters using Taguchi method. Ranking is generated for the various combinations of input process parameters like upset time, upset pressure, heating time and heating pressure by using a multi-objective optimization technique like Grey Relational Analysis (GRA). The friction welding of similar Aluminium alloy Al6061 using centre lathe machine and find the optimal level of input parameters to improve the mechanical properties like axial shortening, hardness, impact strength are identified and presented in this work using DoE and GRA rankings.
subject: Research Articles
  topic: section
subject: Upset time
  topic: keywords
subject: Upset pressure
  topic: keywords
subject: Rotating speed
  topic: keywords
subject: Spindle speed
  topic: keywords
subject: Hardness
  topic: keywords
subject: Grey Relational Analysis
  topic: keywords
subject: Tension test
  topic: keywords
creator: Anil Kumar
creator: Mr. Vikash Ganpale
rights: Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0
date: 2025-04-28
publication date: 2025-04-28
starting page: 90
ending page: 100

A Review Paper on Friction Welding Process Parameters on Identical Materials Are Experimentally Evaluated and Using Optimization Technique
type: item
description: In fabrication industry, joining processes play a very important role. Among various joining processes, welding process has more strength as compared to other joining processes. Friction welding is a solid state welding, which is used to join similar or dissimilar materials by applying pressure and without the need of filler materials for heat production. Also, friction welded joints can produce welds that are superior in strength of the parent material. Friction welding enables similar or dissimilar materials to be joined together by sliding one material against the other under pressure. Friction welding process includes upset time, upset pressure, and heating time, heating pressure and rotating speed. In this experimental work, friction joints are carried out by centre lathe machine. In this experimental work, various types of metal joining were made using by using friction welding machine, welding of similar materials are done using the input process parameters like spindle speed, heating pressure, upset time, upset pressure, heating time, material to be welded, component size and configuration based on the literature review. Then the welded joints are tested to study and analyse the mechanical properties like axial shortening, hardness and impact strength to get the improved quality of welded joints and to optimize the process parameters using Taguchi method.
subject: Research Articles
  topic: section
subject: Friction welding
  topic: keywords
subject: upset pressure
  topic: keywords
subject: rotating speed
  topic: keywords
subject: centre lathe
  topic: keywords
subject: Taguchi method
  topic: keywords
creator: Anil Kumar
creator: Mr. Vikash Ganpale
rights: Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0
date: 2025-04-28
publication date: 2025-04-28
starting page: 82
ending page: 89

A Review Paper on Enhancement of Process Parameters for CNC Turning Of Stainless Steel Utilizing a Coated Tool
type: item
description: The global environmental awareness is increased, and environmental regulations become more stringent, the negative effects of cutting fluids on the environment are becoming more apparent. At present, in high-productivity manufacturing enterprises, the supply, maintenance and recycling costs of cutting fluids account for 13%-17% of the manufacturing cost of the workpiece. In Computer Numerical Control turning of hard materials such as steels, cast iron and super alloys, involves high cutting forces, leads to more power consumption and decreasing tool life which may increases the machining cost. To make machining process environment friendly with minimizing cost of machining, dry cutting is the best solution. This work aimed to optimize the most influencing process parameters to minimize cutting forces and surface roughness in CNC turning of hard bearing material AISI 52100 and to develop predictive model of surface roughness.
subject: Research Articles
  topic: section
subject: cutting fluids
  topic: keywords
subject: productivity
  topic: keywords
subject: CNC
  topic: keywords
subject: turning
  topic: keywords
subject: hard materials
  topic: keywords
subject: surface roughness
  topic: keywords
creator: Sushmit Kumar Diwakar
creator: Mr. Abhinav Kumar
rights: Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0
date: 2025-04-28
publication date: 2025-04-28
starting page: 74
ending page: 81

Enhanced Probabilistic K-Means Clustering for Student Course Classification
type: item
description: Student course classification plays a crucial role in understanding academic patterns and guiding educational decisions. This paper presents a probability-based K-Means clustering approach to classify students into distinct academic groups based on various attributes such as CGPA, age, and branch transition history. The proposed methodology integrates probabilistic selection to enhance the standard K-Means clustering, ensuring better adaptability in student classification. A dataset of students is analyzed using principal component analysis (PCA) for dimensionality reduction, followed by clustering to identify distinct academic patterns. The results visualize student distributions in a two-dimensional PCA space, with cluster centers representing core academic categories, including original branches and students who transitioned to a different course. The probability-based K-Means model improves clustering accuracy by dynamically adjusting centroid assignments based on probabilistic weight factors. The approach provides a structured framework for institutions to analyze student trends and improve academic advising. The experimental results demonstrate that this enhanced clustering technique offers improved classification accuracy compared to traditional clustering methods.
subject: Research Articles
  topic: section
subject: Logistic Regression
  topic: keywords
subject: Decision Tree
  topic: keywords
subject: Random Forest
  topic: keywords
subject: Naïve Bayes
  topic: keywords
subject: K-Nearest Neighbors (KNN)
  topic: keywords
subject: Support Vector Machine (SVM)
  topic: keywords
creator: S. Sumiya
creator: S. Noortaj
rights: Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0
date: 2025-04-08
publication date: 2025-04-08
starting page: 68
ending page: 73

Assessing an Effective Approach for Adjusting Casting Process Parameters through Optimization
type: item
description: Foundries in India are facing lower productivity issues due to low quality of castings produced as well as wrong practices followed, therein. Minimizing rejection as well as production costs is the key area of concern in these foundries. Casting process parameters are important in the optimization of casting process. Design optimization using reliability has also emerged as a promising tool for optimization, using the probabilistic approach. This approach works on probability of failures through various parameters. Markov process is a predictive technique for generation of a stochastic model with sequence of possible events. This research study has focused on the development of a Markov chain model for investigating the casting failure. In this paper, several casting defects and parameters was carried out. Cold shut, Inclusion, Mould shift, Porosity, Shrinkage, Blow holes were the casting defects and Pouring temperature, Mould hardness, Moisture content, Improper handling, Permeability and Green compressive strength were the process parameters considered in the study. This study has proposed a hierarchical model that focuses on the casting failure in industries and accordingly the model was tested for various process parameters. The outcome of the study provides the priority ranking of the process parameters for various casting failure in real time through which the critical process parameters were identified in the order. The Pouring temperature came out as the most critical process parameter for casting failure. Also, the priority ranking of the process parameters for various casting failure in real time were identified and found to be identical.
subject: Research Articles
  topic: section
subject: Casting process
  topic: keywords
subject: Reliability
  topic: keywords
subject: Markov process
  topic: keywords
subject: Pouring temperature
  topic: keywords
subject: Green compressive
  topic: keywords
creator: Vimal Kumar
creator: Dr. Lokesh Singh
rights: Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0
date: 2025-04-08
publication date: 2025-04-08
starting page: 57
ending page: 67

A Review Paper on Assessing an Effective Approach for Adjusting Casting Process Parameters through Optimization
type: item
description: Foundries in India are facing lower productivity issues due to low quality of castings produced as well as wrong practices followed, therein. Minimizing rejection as well as production costs is the key area of concern in these foundries. Casting process parameters are important in the optimization of casting process. Design optimization using reliability has also emerged as a promising tool for optimization, using the probabilistic approach. This approach works on probability of failures through various parameters. In this paper we focus on the development of a Markov chain model for investigating the casting failure. In the study, several casting defects and parameters was carried out. This study we proposed a hierarchical model that focuses on the casting failure in industries and accordingly the model was tested for various process parameters.
subject: Research Articles
  topic: section
subject: Casting process
  topic: keywords
subject: Casting defects
  topic: keywords
subject: Probabilistic Approach
  topic: keywords
subject: Markov Chain Model
  topic: keywords
creator: Vimal Kumar
creator: Dr. Lokesh Singh
rights: Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0
date: 2025-04-08
publication date: 2025-04-08
starting page: 50
ending page: 56

Sustainable Power Generation : A Hybrid Approach using Solar Energy and Vertical Axis Wind Turbines
type: item
description: This project explores the potential of combining solar energy and vertical axis wind turbines to generate electricity. By harnessing the power of both sun and wind, this hybrid system aims to provide a reliable and sustainable energy source. The system's design and performance are evaluated, taking into account factors such as energy output, efficiency, and environmental impact. The results show that the hybrid system can significantly increase energy generation while reducing dependence on fossil fuels. This innovative approach has the potential to contribute to a cleaner and more sustainable energy future.
subject: Research Articles
  topic: section
subject: Hybrid Energy System
  topic: keywords
subject: Solar-Wind Power
  topic: keywords
subject: Vertical Axis Wind Turbine
  topic: keywords
subject: Renewable Energy
  topic: keywords
subject: Sustainable Electricity
  topic: keywords
creator: Soham Y Paradkar
creator: Yogesh D Gawande
creator: Durgesh Jadhav
creator: Janardan Bagul
creator: D.M.Bhatkar
rights: Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0
date: 2025-03-26
publication date: 2025-03-26
starting page: 46
ending page: 49

Development of Automatic Gas Detector System for Prevention of Fire and Life Hazards
type: item
description: The occurrence of gas leaks can have catastrophic consequences, including fires, explosions, and loss of life. To mitigate these risks, this study presents the development of an automatic gas detector system that can detect gas leaks in real-time and alert individuals in the surrounding area. The proposed system utilizes a combination of gas sensors, microcontrollers, and communication modules to detect and report gas leaks. The system's performance was evaluated through a series of experiments, which demonstrated its ability to detect gas leaks accurately and reliably. The results of this study suggest that the proposed system can provide a reliable and efficient solution for preventing fires and life hazards caused by gas leaks.
subject: Research Articles
  topic: section
subject: Automatic Gas Detector System
  topic: keywords
subject: Fire Prevention
  topic: keywords
subject: Life Hazard Prevention
  topic: keywords
subject: Gas Sensors
  topic: keywords
subject: Microcontrollers
  topic: keywords
subject: Communication Modules
  topic: keywords
creator: Mann Patel
creator: Sujal Hire
creator: Yash Iste
creator: Prathamesh Mogal
creator: V E Kothawade
rights: Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0
date: 2025-03-23
publication date: 2025-03-23
starting page: 41
ending page: 45

Design and Implementation of a PWM-Based Speed Controller with Overcurrent and Overtemperature Protection for Electric Bicycles
type: item
description: This paper presents the design and implementation of a pulse-width modulation (PWM)-based speed controller with overcurrent and overtemperature protection for electric bicycles. The proposed speed controller uses a microcontroller to generate PWM signals that control the speed of the electric bicycle. The speed controller also incorporates overcurrent and overtemperature protection circuits to prevent damage to the motor and other components. The overcurrent protection circuit uses a current sensor to monitor the motor current and disconnects the power supply when the current exceeds a predetermined threshold. The overtemperature protection circuit uses a temperature sensor to monitor the motor temperature and reduces the power supply when the temperature exceeds a predetermined threshold. The proposed speed controller was implemented and tested on an electric bicycle, and the results show that it can efficiently control the speed of the bicycle while providing reliable overcurrent and overtemperature protection.
subject: Research Articles
  topic: section
subject: Electric Bicycle
  topic: keywords
subject: Speed Controller
  topic: keywords
subject: PWM
  topic: keywords
subject: Overcurrent Protection
  topic: keywords
subject: Overtemperature Protection
  topic: keywords
subject: Microcontroller
  topic: keywords
creator: Komal R Kawar
creator: Sanskruti S Pekhale
creator: Gauri S Jadhav
creator: Pranali P Bhamare
creator: Suhas U Borade
rights: Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0
date: 2025-03-23
publication date: 2025-03-23
starting page: 37
ending page: 40

Comparative Study of Sustainable Water Pollution Management in Godavari River in Nashik City
type: item
description: The Godavari River in Nashik City faces severe water pollution due to industrial, agricultural, and domestic activities. This study aims to find sustainable solutions to manage water pollution in the river. We collected water samples, analyzed data, and consulted with stakeholders to understand the pollution sources and impacts. Our study recommends sustainable practices, such as wastewater treatment, efficient irrigation systems, and community-led initiatives. Implementing these solutions can improve water quality, protect public health, and preserve the river's ecosystem. This research contributes to the development of effective water pollution management strategies for the Godavari River and similar rivers worldwide.
subject: Research Articles
  topic: section
subject: Godavri River
  topic: keywords
subject: Water Pollution
  topic: keywords
subject: Efficient Irrigation System
  topic: keywords
creator: Ashutosh Tombare
creator: Prajwal Ghodekar
creator: 3Mohan Dhobale
creator: Lubhan Patil
creator: V E Kothawade
rights: Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0
date: 2025-03-23
publication date: 2025-03-23
starting page: 32
ending page: 36

Automatic Recloser System of Transformer Using PLC and Scada
type: item
description: This project proposes an automatic recloser system for transformers using Programmable Logic Controllers (PLC) and Supervisory Control and Data Acquisition (SCADA) systems. The proposed system aims to improve the reliability and efficiency of power distribution systems by automatically detecting and responding to transformer faults. The PLC monitors the transformer's condition and sends signals to the SCADA system, which then displays the status and sends alerts to operators. In a fault, the system automatically isolates the faulty transformer and switches to a backup transformer, minimizing power outages and reducing downtime. The proposed system is tested and validated using simulation studies, demonstrating its effectiveness in improving power system reliability.
subject: Research Articles
  topic: section
subject: Automatic Recloser System
  topic: keywords
subject: Programmable Logic Controllers
  topic: keywords
subject: Supervisory Control and Data Acquisition
  topic: keywords
subject: Power System Reliability
  topic: keywords
subject: Transformer Fault Detection
  topic: keywords
creator: Payal S Borade
creator: Vidya S Rajguru
creator: Sonakshi P Sarode
creator: Riya D Dhage
creator: R R Raskar
rights: Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0
date: 2025-03-23
publication date: 2025-03-23
starting page: 28
ending page: 31

A Night Vision Patrolling Robot with Sound Sensor for Intelligent Security
type: item
description: This paper presents a night vision patrolling robot designed to enhance security surveillance. Equipped with a night vision camera and sound sensor, the robot can detect and respond to potential threats in low-light environments. The sound sensor allows the robot to detect unusual sounds, such as breaking glass or alarms, and alert authorities. The robot's night vision capability enables it to navigate and patrol areas without being hindered by darkness. With its advanced sensors and intelligent programming, this robot provides a reliable and efficient solution for security surveillance, making it an ideal tool for homes, businesses, and public spaces. The paper aims to provide a cost-effective and innovative solution for intelligent security.
subject: Research Articles
  topic: section
subject: Night Vision
  topic: keywords
subject: Patrolling Robot
  topic: keywords
subject: Security Surveillance
  topic: keywords
subject: Sound Sensor
  topic: keywords
subject: Intelligent Security
  topic: keywords
creator: Buddhabhushan R. Gangurde
creator: Atharv U. Kanlunge
creator: Yash S. Kapdi
creator: Jitesh V. Fatangle
creator: Suhas U. Borade
rights: Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0
date: 2025-03-23
publication date: 2025-03-23
starting page: 24
ending page: 27

A Review on Enhancement of Friction Stir Welding (FSW) Settings for Microstructural Assessment and Mechanical Characteristics on Aluminium 6082 and Copper Joints
type: item
description: Aluminium and its alloys are the major material that is used in today’s world. Aluminium alloys are alloys in which Aluminium (Al) is the predominant metal. The typical alloying elements are copper, magnesium, manganese, silicon and zinc. Among the various available Al alloys Al6082 exhibits the properties like low weight, High strength to mass ratio, Weldability etc. Copper and its alloys are widely used in industrial applications due to their excellent electrical and thermal conductivities, good strength, and corrosion and fatigue resistances. The joints of dissimilar materials are widely used in industrial applications due to their technical and beneficial advantages. Aluminium and copper are two common metals in the electric power industry due to unique performances such as higher electrical conductivity, heat conductivity, corrosion resistance and mechanical properties. Friction Stir Welding (FSW) is a relatively new solid-state joining process. It was initially applied to aluminium alloys. In this study, the effect of different process parameters in dissimilar FSW of Al6082 alloy and copper and mechanical behaviour of the same are studied by conducting hardness, bending and tensile tests. Process optimization was done using Taguchi technique along with ANOVA analysis
subject: Research Articles
  topic: section
subject: Al 6082
  topic: keywords
subject: Dissimilar Materials
  topic: keywords
subject: Friction Stir Welding
  topic: keywords
subject: Taguchi Technique
  topic: keywords
subject: ANOVA
  topic: keywords
creator: B. Lalit Kumar
creator: Dr. Vikash Gadpale
rights: Copyright (c) 2025 IJSRMME https://creativecommons.org/licenses/by/4.0
date: 2025-03-16
publication date: 2025-03-16
starting page: 14
ending page: 23