Leveraging Solar Energy for Advancing Electric Vehicles: A Green Strategy to Reduce Carbon Emissions Nithyanandhan T, Premraj R, Prabhu MK, K.S. Raghul, Ram kumar S, Santhosh Paramasivam Proceedings 2025 2nd International Conference on Electronic Circuits and Signaling Technologies Icecst 2025, 2025 In response to escalating fuel prices and growing environmental concerns associated with conventional vehicles, this study proposes a hardware model for a solar-powered electric vehicle aimed at achieving zero-emission transportation. The model demonstrates the viability of a solar-powered two-wheeled scooter that utilizes solar energy to drive a lightweight motor integrated into the wheel, supported by a rechargeable battery system. Key components-including the battery pack, motor, controller, speed regulation unit, battery charger, and throttle-are harmonized to ensure optimal functionality. Additionally, the project features wireless security enhancements through an Arduino-based RFID access control system, improving both safety and user convenience. The primary goal is to reduce carbon emissions linked to traditional combustion engines, offering an eco-friendly alternative. By leveraging solar energy instead of fossil fuels, this solar-assisted electric vehicle represents a promising advancement toward sustainable mobility and broader adoption of electric vehicles within the automotive sector.
Surface Modification Effect of Magnesium Alloy by Friction Stir Processing M. K. Prabhu, P. Sivaraman, Adarsh Ajayan, T. Nithyanandhan, P. Ilakiya SAE Technical Papers, 2024 <div class="section abstract"><div class="htmlview paragraph">This article explores the impact of friction stir processing (FSP) on the surface modification of magnesium alloy AZ91D. The purpose is to enhance the alloy’s surface qualities and, consequently, improve its performance in various applications. Using FSP, the microstructure and mechanical characteristics of the magnesium alloy are improved through solid-state joining. The study assesses the impact of FSP parameters on the alloy’s surface properties. Researchers adjust parameters such as tool rotation speed and traverse speed to achieve accurate FSP conditions for the intended surface alterations. The surface characteristics of FSP-treated magnesium alloy AZ91D are evaluated through detailed analyses, including microstructure, surface roughness, hardness, and wear resistance. The study considers the effect of FSP on grain development and microhardness, which reflect the immediate impact on surface properties. The study also examines how nano-sized boron nitride (BN) particles are distributed and dispersed during FSP. The addition of BN particles to the alloy through FSP is intended to further improve surface characteristics and wear resistance. The research concludes that FSP has the potential to modify the surface of magnesium alloys, resulting in surfaces with improved properties such as increased hardness, reduced surface roughness, and greater wear resistance. This study contributes to the development of high-performance magnesium-based materials, particularly in the automotive, aerospace, and electrical engineering sectors. FSP can expand the range of applications for magnesium alloy AZ91D and improve its overall performance.</div></div>
Intelligent wall climbing robot P. Sivaraman, Adarsh Ajayan, M. K. Prabhu, M. Mohammed Razzaq, T. Mohamad Saifudheen, K. Kousik, B. Logesh Aip Conference Proceedings, 2023
Real-Time Gearbox Defect Detection Using IIoT-Based Condition Monitoring System P. Sivaraman, P. Ilakiya, M.K. Prabhu, Adarsh Ajayan SAE Technical Papers, 2023 <div class="section abstract"><div class="htmlview paragraph">In order to guarantee the dependability and effectiveness of industrial machinery, real-time gearbox malfunction detection is extremely important. Traditional approaches to condition monitoring systems sometimes rely on time-consuming human inspections or routine maintenance, which can result in unanticipated failures and expensive downtime. The rise of the industrial Internet of things (IIoT) in recent years has paved the way for more sophisticated and automated monitoring methods. An IIoT-based condition monitoring system is suggested in this study for real-time gearbox failure detection. The gearbox health state is continually monitored by the system using sensor data from the gearbox, such as temperature, vibration, and oil analysis. Real-time transmission of the gathered data is made to a central monitoring hub, where sophisticated analytics algorithms are used to look for any flaws.</div><div class="htmlview paragraph">This study’s potential to improve the dependability and operational effectiveness of industrial gear is what makes it so significant. Real-time defect identification makes it possible to undertake maintenance tasks preemptively, avoiding catastrophic failures and cutting down on downtime. This reduces not just the expenses of unanticipated maintenance but also boosts general productivity and client happiness. The uniqueness of this study comes from the way sophisticated analytics and IIoT technologies were used to find gearbox defects. Despite the literature’s exploration of IIoT-based condition monitoring systems, this work focuses especially on gearbox defect detection, which presents special difficulties because of complicated mechanical dynamics and the existence of several failure scenarios. The suggested methodology provides a thorough and automated method that can precisely identify and diagnose gearbox faults, leading to timely maintenance actions and increased operational reliability. Overall, employing IIoT-based condition monitoring, this work offers a unique and useful method for real-time gearbox failure diagnosis. The results of this study can help improve industrial maintenance procedures, which will enhance machinery performance and decrease downtime across a variety of industries, including manufacturing, energy, and transportation.</div></div>
An IoT-Based System for Monitoring Parameters and Passive Cell Balancing of a Lithium-Ion Battery Pack in a Fixed Environmental Temperature Setting Sivaraman Parthasarathi, J. Dhanaselvam, K. Saravanakumar, Adarsh Ajayan, M.K. Prabhu SAE Technical Papers, 2023 <div class="section abstract"><div class="htmlview paragraph">Because of their multiple advantages, lithium-ion batteries are widely employed in a variety of applications ranging from wireless headphones to electric cars. They do, however, have disadvantages such as thermal issues, cell voltage imbalance, and safety concerns. The cell voltage in a battery pack must be balanced in order to determine its overall capacity and lifespan. A battery pack of four 3.7 V/1200 mAh lithium-ion batteries is researched under fixed temperature settings in this paper, with the goal of balancing cell voltages during charging and discharging via passive cell balancing. A battery management system (BMS) is used to monitor changes in cell temperatures, voltage, and current to ensure the lithium-ion battery’s health. The simulation environment was created with MATLAB, and simulation results for various temperatures are provided. The proposed method was tested utilizing a cloud-based battery parameter monitoring system, and the cell-balancing analysis is reported as a result. Overall, this work presents a practical approach for managing and balancing lithium-ion battery cell voltages in order to ensure safe and consistent battery performance.</div></div>
Optimizing Front Axle Design for Heavy Commercial Vehicles: A Comprehensive Analysis of Structural and Mechanical Properties P. Sivaraman, P. Ilakiya, M.K. Prabhu, Adarsh Ajayan, T. Nithyanandan SAE Technical Papers, 2023 <div class="section abstract"><div class="htmlview paragraph">This study intends to improve the design of front axles for heavy commercial vehicles, with a major goal of reducing weight while maintaining mechanical strength. The front axle is critical in supporting the weight of the vehicle and facilitating steering while effectively absorbing shocks generated by differences in road surfaces. To achieve these requirements, a front axle beam that minimizes weight, fuel consumption, and stress on the load-carrying member must be designed. In this work, finite element analysis (FEA) techniques are used using CATIA software to assess the structural and mechanical attributes of several front axle designs. The purpose is to pick the best front axle shape depending on specific load situations and driving torque needs. The influence of alternative component shapes on stress and strain distribution is evaluated using surface changes and ANSYS Workbench numerical simulation software. Furthermore, the impact of these structural changes on the mechanical characteristics of the front axle is carefully investigated. The findings of this study will help to shape front axle designs that strike a compromise between weight reduction and mechanical strength, therefore improving the performance and efficiency of big commercial vehicles. This study gives useful insights into optimizing front axle designs by employing modern engineering analytical techniques, which may lead to increased fuel efficiency and lower vehicle maintenance costs.</div></div>
Investigation of Corrosion Characteristic of Al6063 Reinforced with Al2O3-CBA by Using Stir Casting T Nithyanandhan, P Sivaraman, M K Prabhu, C Nedumaran, J Narendran, P S Naveen Iop Conference Series Materials Science and Engineering, 2021 This work critiques an examination method to investigate the corrosion characteristic of composite materials with guide of Aluminium oxide and chicken bone ash as reinforcements. The weight percentage of aluminium oxide are 6%, 5%, 4%, 3% and 2% and Chicken Bone Ash are2%, 3%, 4%, 5% and 6% have been covered for this investigation. This composite casting method became made with the help of the stir casting method. The “Aluminium chloride” solution is used to examine the detail corrosion behaviour of the metal matrix composite by using of the immersion test.The result of this research work produce the corrosion rate would be decreased with increase of the weight percentage of Reinforcements. This work concluded that the estimation of rate of corrosion free with increment in maximum weight percent of hybrid composites.
Moldflow-based simulation of flow dynamics in nano-filled polymer injection molding: a comprehensive rheological and thermal analysis N Kaliappan, P Sivaraman, KS Raghul, H Alemayehu, K Mohan, ... Scientific Reports , 2026 2026
Leveraging Solar Energy for Advancing Electric Vehicles: A Green Strategy to Reduce Carbon Emissions T Nithyanandhan, R Premraj, MK Prabhu, R KS 2025 2nd International Conference on Electronic Circuits and Signaling … , 2025 2025
Surface modification effect of magnesium alloy by friction stir processing MK Prabhu, P Sivaraman, A Ajayan, T Nithyanandhan, P Ilakiya Automotive Technical Papers , 2024 2024 Citations: 3
Fully automated school vehicle anti-collision safety system P Sivaraman, A Ajayan, MK Prabhu, M Mithun, T Shivdas, D Vishnu, ... AIP Conference Proceedings 2822 (1), 020220 , 2023 2023
Intelligent wall climbing robot P Sivaraman, A Ajayan, MK Prabhu, MM Razzaq, TM Saifudheen, ... AIP Conference Proceedings 2822 (1), 020219 , 2023 2023
Optimizing front axle design for heavy commercial vehicles: a comprehensive analysis of structural and mechanical properties P Sivaraman, P Ilakiya, MK Prabhu, A Ajayan, T Nithyanandan Automotive Technical Papers , 2023 2023 Citations: 2
Revolutionizing Mechanical Engineering: Harnessing the Power of Machine Learning and AI P Sivaraman, A Ajayan, MK Prabhu, T Nithyanandhan International EdTech Conference, 697-705 , 2023 2023
An IoT-Based System for Monitoring Parameters and Passive Cell Balancing of a Lithium-Ion Battery Pack in a Fixed Environmental Temperature Setting S Parthasarathi, J Dhanaselvam, K Saravanakumar, A Ajayan, ... Automotive Technical Papers 346547 , 2023 2023 Citations: 5
Real-Time gearbox defect detection using iiot-based condition monitoring system P Sivaraman, P Ilakiya, MK Prabhu, A Ajayan Automotive Technical Papers 346547 , 2023 2023 Citations: 3
Mechanical characterization of alkaline treated Ananus Comosus and Musa Sepientum fibers reinforced epoxy hybrid composites M Prince, AP Kumar, E Mahesh, GS Raj, MA Vinayagamoorthi, ... Materials Today: Proceedings 62, 2320-2325 , 2022 2022 Citations: 5
Foundry Flow Studies Based on Water Model Gating System P Sivaraman, T Nithyanandhan, MK Prabhu, B Prasanna, GM Krishna, ... Int J Aeronautics Aerospace Res 8 (01), 252-257 , 2021 2021
Investigation of Corrosion Characteristic of Al6063 Reinforced with Al2O3-CBA by Using Stir Casting T Nithyanandhan, P Sivaraman, MK Prabhu, C Nedumaran, J Narendran, ... IOP Conference Series: Materials Science and Engineering 1059 (1), 012018 , 2021 2021 Citations: 5
Productivity Improvement and Reduction of Lead Time in Manufacturing Industry Using Lean Tools S Parthasarathi, MK Prabhu, J Krishanamani, L Mitun, GP Vellingiri, ... Ind. Eng 5, 1-6 , 2021 2021 Citations: 6
Humanoid gesture control arm with manifold actuation using additive manufacturing MK Prabhu, P Sivaraman, M Vishnukaarthi, VS Narayanan, S Raveen, ... Materials Today: Proceedings 37, 717-722 , 2021 2021 Citations: 19
Development of aluminum based AA 2014 and AA 7075 dissimilar metals for aerospace applications P Sivaraman, MK Prabhu, T Nithyanandhan, MM Razzaq, K Kousik, ... Materials Today: Proceedings 37, 522-526 , 2021 2021 Citations: 31
Purification of contaminated water using solar tracking panels and polypropylene disk P Sivaraman, T Nithyanandhan, MK Prabhu, K Umanath, SN Kishore, ... AIP Conference Proceedings 2283 (1), 020032 , 2020 2020 Citations: 1
Fabrication and analysis of Master leaf spring plate using carbon fibre and pineapple leaf fibre as natural composite materials K Umanath, MK Prabhu, A Yuvaraj, D Devika Materials Today: Proceedings 33, 183-188 , 2020 2020 Citations: 23
MOST CITED SCHOLAR PUBLICATIONS
Development of aluminum based AA 2014 and AA 7075 dissimilar metals for aerospace applications P Sivaraman, MK Prabhu, T Nithyanandhan, MM Razzaq, K Kousik, ... Materials Today: Proceedings 37, 522-526 , 2021 2021 Citations: 31
Fabrication and analysis of Master leaf spring plate using carbon fibre and pineapple leaf fibre as natural composite materials K Umanath, MK Prabhu, A Yuvaraj, D Devika Materials Today: Proceedings 33, 183-188 , 2020 2020 Citations: 23
Humanoid gesture control arm with manifold actuation using additive manufacturing MK Prabhu, P Sivaraman, M Vishnukaarthi, VS Narayanan, S Raveen, ... Materials Today: Proceedings 37, 717-722 , 2021 2021 Citations: 19
Productivity Improvement and Reduction of Lead Time in Manufacturing Industry Using Lean Tools S Parthasarathi, MK Prabhu, J Krishanamani, L Mitun, GP Vellingiri, ... Ind. Eng 5, 1-6 , 2021 2021 Citations: 6
An IoT-Based System for Monitoring Parameters and Passive Cell Balancing of a Lithium-Ion Battery Pack in a Fixed Environmental Temperature Setting S Parthasarathi, J Dhanaselvam, K Saravanakumar, A Ajayan, ... Automotive Technical Papers 346547 , 2023 2023 Citations: 5
Mechanical characterization of alkaline treated Ananus Comosus and Musa Sepientum fibers reinforced epoxy hybrid composites M Prince, AP Kumar, E Mahesh, GS Raj, MA Vinayagamoorthi, ... Materials Today: Proceedings 62, 2320-2325 , 2022 2022 Citations: 5
Investigation of Corrosion Characteristic of Al6063 Reinforced with Al2O3-CBA by Using Stir Casting T Nithyanandhan, P Sivaraman, MK Prabhu, C Nedumaran, J Narendran, ... IOP Conference Series: Materials Science and Engineering 1059 (1), 012018 , 2021 2021 Citations: 5
Surface modification effect of magnesium alloy by friction stir processing MK Prabhu, P Sivaraman, A Ajayan, T Nithyanandhan, P Ilakiya Automotive Technical Papers , 2024 2024 Citations: 3
Real-Time gearbox defect detection using iiot-based condition monitoring system P Sivaraman, P Ilakiya, MK Prabhu, A Ajayan Automotive Technical Papers 346547 , 2023 2023 Citations: 3
Optimizing front axle design for heavy commercial vehicles: a comprehensive analysis of structural and mechanical properties P Sivaraman, P Ilakiya, MK Prabhu, A Ajayan, T Nithyanandan Automotive Technical Papers , 2023 2023 Citations: 2
Purification of contaminated water using solar tracking panels and polypropylene disk P Sivaraman, T Nithyanandhan, MK Prabhu, K Umanath, SN Kishore, ... AIP Conference Proceedings 2283 (1), 020032 , 2020 2020 Citations: 1
Moldflow-based simulation of flow dynamics in nano-filled polymer injection molding: a comprehensive rheological and thermal analysis N Kaliappan, P Sivaraman, KS Raghul, H Alemayehu, K Mohan, ... Scientific Reports , 2026 2026
Leveraging Solar Energy for Advancing Electric Vehicles: A Green Strategy to Reduce Carbon Emissions T Nithyanandhan, R Premraj, MK Prabhu, R KS 2025 2nd International Conference on Electronic Circuits and Signaling … , 2025 2025
Fully automated school vehicle anti-collision safety system P Sivaraman, A Ajayan, MK Prabhu, M Mithun, T Shivdas, D Vishnu, ... AIP Conference Proceedings 2822 (1), 020220 , 2023 2023
Intelligent wall climbing robot P Sivaraman, A Ajayan, MK Prabhu, MM Razzaq, TM Saifudheen, ... AIP Conference Proceedings 2822 (1), 020219 , 2023 2023
Revolutionizing Mechanical Engineering: Harnessing the Power of Machine Learning and AI P Sivaraman, A Ajayan, MK Prabhu, T Nithyanandhan International EdTech Conference, 697-705 , 2023 2023
Foundry Flow Studies Based on Water Model Gating System P Sivaraman, T Nithyanandhan, MK Prabhu, B Prasanna, GM Krishna, ... Int J Aeronautics Aerospace Res 8 (01), 252-257 , 2021 2021