Dr Rachayya R Arakerimath

@jspmrscoe.edu.in

Professor and Head-Mechanical Engineering
JSPM's Rajrshi college of Engineering, Pune, India.

Dr Rachayya R Arakerimath


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https://researchid.co/rrarakerimath22

EDUCATION

BE-Automobile Engg, ME, PhD-Mechanical Engg

RESEARCH INTERESTS

Automotive System & Heat recovery, Product Design using CAD/CAM/CAE, Advanced Manufacturing Systems, Industry 4.0
35

Scopus Publications

Scopus Publications

  • Manufacturing and performance evaluation of dimpled sheets: A comprehensive review
    Govind Waghmare, Ajay Pingale, Rachayya Arakerimath, Mahadev Madgule
    Next Materials, 2026
    Dimple sheet surfaces have attracted considerable interest in multiple sectors owing to their distinctive structure and beneficial characteristics. The surfaces discussed demonstrate a wide range of applications, including the protection of waterproofing systems in subterranean structures, the management of water drainage, and the alleviation of hydrostatic pressure in construction. They offer slip-resistant, durable, and economical solutions for industrial and building flooring. Additionally, they improve heat transfer efficiency in industrial processes via laser-welded dimple plates in heat exchangers, and they provide moisture and soil pressure protection for foundation walls through specialized dimpled designs. This study offers an in-depth examination of dimple sheet surfaces, emphasizing the processes involved in their formation and their performance attributes. Understanding the mechanical and structural characteristics of dimple sheets is crucial for enhancing manufacturing techniques, improving material efficacy, and investigating novel applications. This review opens the door for more study and technical developments in this area by offering insights into formation mechanisms, characterization methods, and surface characteristics. This review focuses on the finite element simulation of the dimpling process, examining mechanical characteristics through tensile, bending, and compression tests. Important results show that, in comparison to plain sheets, dimpled sheets exhibit up to 9% higher yield strength, 6% higher tensile strength, and 23% higher bending strength. The modeling approach was validated by the close match between the finite element simulations and experimental data. These findings highlight the mechanical benefits of dimpled structures as well as their potential for application and design optimization. Furthermore, it investigates the effects of friction and tooth overlapping on the dimpling process via simulation. Findings from both finite element simulations and experimental investigations demonstrate a high level of concordance. The investigation further examines how process parameters influence the dimpling process and explores strategies for optimization. The behavior of dimpled steel columns under side-impact stresses at low velocities is also thoroughly examined.
  • Design and analysis of spring-Assisted energy absorbing damper used in automotive application
    Nesarkar Anita Ashokrao, Nilesh Jawarkar, Rachayya Arakerimath
    Aip Conference Proceedings, 2026
  • Design analysis of gear shift linkage system for four-point suspended cabin of heavy commercial vehicles
    Rajesh Hunkeri, Manjit Sutar, Soumik Chatterjee, Rachayya Arakerimath, V. T. Tale
    Aip Conference Proceedings, 2026
  • Air-cooled and PCM-cooled battery thermal management systems of an electric vehicle: a technical review
    Ashish Rajkumar Devshette, Jitendra Atmaram Hole, Rachayya R Arakerimath, Ashish Kumar, Sanjay Singh Rathore
    Engineering Research Express, 2025
    Automotive industries showed keen interest in the temperature control system of batteries. There exist varieties of commercial electric vehicles, which offer battery cooling technologies with active cooling systems as potential solutions. The creation of such cooling devices would need careful consideration of the physical structure and arrangement of the battery cells. However, in any case, it is fundamental need to have a battery temperature control mechanism for the safe operational working of all batteries. In the industry of automotive and conversion of electric vehicles, there exists a strong passion for Lithium-ion battery temperature control. There is already a considerable variety of commercial electric vehicles on the market, offering battery cooling technologies that rely on active-removal cooling systems as possible solutions. The development of such cooling systems will definitely demand that the battery pack’s physical architecture and structure be carefully re-examined. In the final analysis, it would clearly come out that in fact a battery temperature control will be necessary to have all batteries function in the ‘safety’ mode. The current study aims to review cooling strategies using air and thermal energy storage systems to improve the performance of electric and hybrid vehicles. The comparison of cooling capacity of the battery thermal management system (BTMS) with various designs is thoroughly examined. This review article tries to offer helpful guidance for designing the air-cooled and phase change material (PCM) cooled BTMS with optimal performance.
  • AI Tools for Parametric Optimization of SLA Process for Light Weight Composites, a Review and Trends
    Rachayya R Arakerimath, Sahil N Gaikwad, Kuldeep D Bhadane, Ratnesh R Bopalkar
    2025 1st International Conference on Aiml Applications for Engineering and Technology Icaet 2025, 2025
    The integration of AI-based parametric optimization into the Stereolithography process represents a significant advancement in additive manufacturing. By moving beyond traditional empirical approaches, manufacturers can leverage AI to enhance print quality, reduce production times, and improve material efficiency. With continued advancement, this technology has the potential to completely transform the design and production landscape, opening the door to more creative uses in a wide range of industries. The synergy between AI and SLA will not only drive efficiency but also unlock new possibilities for creativity and design complexity with increased efficiency and reduced waste in production.
  • Design and weight optimization of smart modular rooftop farming structure of different materials
    Rachayya R Arakerimath, Chinmay D Badgujar, Chitresh S Dhake, Anish S Kulkarni, Aditya D Nagare
    Proceedings of 2025 International Conference on Emerging Trends in Industry 4 0 Technologies Iceti4t 2025, 2025
    The smart modular rooftop farming structure is an innovative solution to ecological food production, focusing on small space utilization and green energy management. This structure is a combination of modular expandability, flexible design for easy deployment, and IoT based smart automation for precision farming. It ameliorate renewable conditions, resource usage, and crop yield through sensors monitoring soil moisture, temperature, humidity, and light. By transforming underutilized urban spaces into productive green hubs, the system fosters self-reliance, reduces carbon footprints, and supports ecological harmony. It is suitable for residential, commercial, and community use, promoting sustainable, resilient cities.
  • Performance Modelling and Simulation of Cobot for Pick and Place Application Using RoboDK
    Rachayya R Arakerimath, Aditya H. Badve, Divyani P. Deshmukh, M. N. Chandan, Avinash Badadhe
    International Conference on Emerging Technologies in Electronics and Green Energy Iceteg 2025, 2025
    This paper presents the performance modelling and simulation of a collaborative robot (cobot) for pick-and-place applications using RoboDK. A parametric regression-based model is proposed to evaluate the Techman TM5-900 cobot, integrated with a vision system, under realistic industrial conditions with components of plastic, aluminum, and mild steel. The study employs the Techman TM5-900 cobot, known for its integrated vision system and suitability for high- precision industrial applications. Components are positioned on a conveyor system and picked and placed onto predefined pallets, simulating real- world manufacturing conditions. Using RoboDK simulation software, the influence of three input parameters robot speed (x1), component placement variation (x2), and trajectory angle (x3) on three output performance metrics task completion time (01), <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$x$</tex>-direction placement deviation (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$02 x$</tex>), and y-direction placement deviation (03y) is analysed through multiple regression analysis. The results show that robot speed is inversely proportional to task completion time and plays a significant role in improving operational efficiency, while component alignment variation significantly affects placement accuracy, particularly in the y-direction, indicating its criticality in maintaining precision. Trajectory angle, however, exhibits negligible influence across all materials. The study demonstrates that material type affects the degree of sensitivity to input variations, with mild steel showing the highest model accuracy (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathrm{R}^{2} \approx 98\%)$</tex> for placement deviation. Overall, the research highlights the adaptability, precision, and reliability of the TM5-900 cobot and provides actionable insights for optimizing collaborative robotic systems based on material properties and workspace variability in industrial automation.
  • Investigation on Water Erosion Behavior of Ti-based Metal Matrix Composite: Experimental Approach
    Dipak Kale, Rachayya Arakerimath, Khizar Ahmed Pathan, Sher Afghan Khan
    Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 2024
    Wet steam flow produces big water droplets in the low-pressure zone of a steam turbine blade. These droplets clash with subsequent blades, resulting in a strong impact that is evident as erosion. Titanium and its alloys are valuable for technical applications such as turbine blades because of their low density, high strength, and exceptional corrosion resistance. The boron carbide(B4C) has a high hardness but a low strength; therefore, it's exciting to investigate water erosion of Ti/ B4C and SiC combination. The effect of 1 wt% B4C and 1, 3, 5, and 7 wt% SiC particles on water droplet erosion of Ti composite was studied using the SPS method for 5 minutes at 1200 oC temperature and 50 MPa pressure. The L9 orthogonal array with four levels of parameters of the Taguchi method is used to conduct the experiments. By measuring the weight of the specimen at interval time, the erosion behavior with time is obtained with different nozzle diameters. The effect of material and experimental parameters on erosion resistance is studied, and an empirical relation is developed.
  • An Investigation into the Mechanical Properties of an Epoxy-Based Composite Made From Jute Fiber and Reinforced With Sal Tree Gum Powder
    Pavankumar R. Sonawane, Deepak M. Deshmukh, Amar Gajbhiye, Krishan Pandey, Sunil A. More, R. R. Arakerimath
    Journal of the Institution of Engineers India Series D, 2024
  • Investigating the influence of peak internal air temperature (PIAT) on material characteristics of linear low-density polyethylene (LLDPE) during rotational moulding
    Vilas Umbare, Rachayya Arakerimath
    Engineering Research Express, 2024
    In present study, six samples of ICORENE 1613 LLDPE fuel tank with homogeneous composition were analysed for six different PIAT values of 165 °C, 170 °C, 180 °C, 190 °C, 195 °C and 200 °C in the first stage. In the second phase of the study, the samples with optimum PIAT values were considered for the Tensile and Flexural strength study at different temperatures. Peak Internal Air Temperature (PIAT) values were obtained using the rotolog instrument, while the tensile and flexural tests were performed utilizing the Universal Testing Machine for accurate characterization of the material properties. The tensile and flexural strength were carried out at three different operating temperatures considering the tank will be subjected to variable operating conditions in real world exercise. The maximum value for both all the process parameters studied were observed at PIAT value of 195 °C, the same has been chosen for the further investigation. The failure data obtained from these two destructive testing will be helpful to mitigate the defects during the process. The tensile test results indicate that the LLDPE sample exhibits the maximum tensile strength of 17.3 MPa at 23 °C and the highest elongation percentage at failure, which is 182.7% at 80 °C. Moreover, the sample shows a remarkable flexural strength of 75.97 MPa at 23 °C, which is indicative of its superior ability to resist deformation under applied bending stresses.
  • Modelling of Density and Tensile Strength of Wollastonite-Filled Epoxy Composites
    Anuja H. Karle, Namdev Ashok Patil, Rachayya Arakerimath
    Lecture Notes in Mechanical Engineering, 2024
  • Comparative Experimental Analysis and Performance Optimization of Single-Cylinder DI and HCCI Engine with Series Catalytic Converters
    Pavan Bhaskar Chaudhari, Rachayya Arakerimath, Khizar Ahmed Pathan, Sher Afghan Khan
    Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 2024
  • Multi-response optimization for a low-cost multi-dimpling process
    Govind Waghmare, Rachayya Rudramuni Arakerimath
    International Journal of Quality and Reliability Management, 2023
  • Vertical pump inlet vortex velocity optimization by Taguchi method
    Prakash Shinde, R. R. Arakerimath
    Aip Conference Proceedings, 2023
  • Defect Analysis Through Metallurgical Testing Methods for Linear Low-Density Polyethylene (LLDPE) at Different PIAT Values During Rotational Molding Process
    Vilas Umbare, Rachayya Arakerimath
    Journal of Failure Analysis and Prevention, 2023
  • Analysis of heterogeneous catalyzed castor oil biodiesel
    Satish A. Patil, R. R. Arakerimath
    Aip Conference Proceedings, 2023
  • A computational simulation approach to study gas temperature and flow patterns in a walking-beam type reheating furnace
    Sharad B. Masal, Dr.Rachayya. R Arakerimath
    Aip Conference Proceedings, 2023
  • Modelling and comparative analysis of a generic vehicle B-pillar design for different materials in roll over (roof crush) impact
    Pankaj Kumar Jha, Rachayya Arakerimath
    Aip Conference Proceedings, 2023
  • Numerical approach for hydraulic performance formulation of centrifugal pump sump
    Prakash Shinde, R. R. Arakerimath
    Aip Conference Proceedings, 2023
  • A comparative performance and emission investigation CI engine fuelled with neem oil esters with varying engine compression ratios
    Campli Srinidhi, Mayur Jawale, Vedant Utikar, Shraddha Jadhav, Madhusudhan Acharya, Rachayya Arakerimath, Jitendra A. Hole, Shylesh V. Channapattana
    Heat Transfer, 2022
  • EXPERIMENTAL INVESTIGATION ON IMPACT ENERGY OF FRICTION STIR WELDED ALUMINUM AND COPPER DISSIMILAR JOINT USING FULL FACTORIAL METHOD
    Gurunath Shinde, Rachayya Arakerimath
    Metallurgical and Materials Engineering, 2022
  • Advisory system for biodiesel production
    Satish A. Patil, R. R. Arakerimath
    Aip Conference Proceedings, 2022
  • Sump pump output flow parameter optimization by Taguchi method
    Prakash Shinde, R.R. Arakerimath
    Application of Soft Computing Techniques in Mechanical Engineering, 2022
  • Multi-response optimization of friction stir welding process of dissimilar AA3003-H12 and C12200-H01 alloys using full factorial method
    Gurunath V Shinde, Rachayya R Arakerimath
    Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering, 2021
  • Prediction and optimization of multipoint dimple sheet forming of structural steel using Taguchi method
    G.S. Waghmare, R.R. Arakerimath
    Materials Today Proceedings, 2021
  • Transesterification optimization using calcium oxide from karanja oil and results validation by ANN
    Satish A Patil, , Dr. Racyya. R. Arakerimath, and
    Journal of Engineering Research Kuwait, 2021
  • Parametric Optimization of Biodiesel Fuelled Engine Noise using the Taguchi Method
    S. A. Patil, R. R. Arakerimath
    Engineering Technology and Applied Science Research, 2020
  • PERFORMANCE OPTIMIZATION OF EXHAUST HEAT EXCHANGER WITH INTERNAL STRUCTURES BY USING TAGUCHI AND GREY RELATIONAL ANALYSIS
    Arpn Journal of Engineering and Applied Sciences, 2020
  • Experimental investigation and optimization of a low-temperature thermoelectric module with different operating conditions
    Dipak Sudam Patil, Rachayya R. Arakerimath, Pramod V. Walke
    World Journal of Engineering, 2019
  • Thermoelectric materials and heat exchangers for power generation – A review
    Dipak S. Patil, Rachayya R. Arakerimath, Pramod V. Walke
    Renewable and Sustainable Energy Reviews, 2018
  • Experimental evaluation of transmissibility for magneto-rheological semi active suspensions system
    Journal of Advanced Research in Dynamical and Control Systems, 2018
  • Taguchi based grey relational analysis methodology for semi active suspension system using MR damper
    R. N. Yerrawar, R. R. Arakerimath
    International Review of Mechanical Engineering, 2017
  • Performance assessment and control policies for semiactive suspension using SIMSCAPE
    R.N. Yerrawar, R.R. Arakerimath
    International Conference on Automatic Control and Dynamic Optimization Techniques Icacdot 2016, 2017
  • Experimental and finite element analysis of single dimple sheet for stress analysis
    G. S. Waghmare, R. R. Arakerimath
    International Review of Mechanical Engineering, 2017
  • Development of Methodology for Semi Active Suspension System Using MR Damper
    R.N. Yerrawar, R.R. Arakerimath
    Materials Today Proceedings, 2017

Publications

SCI/Scopus-22
WOS-02
UGC= 07
Total Papers=150

GRANT DETAILS

3-SPPU BCUD Pune

RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)

Advisory System for Biodiesel
Expert System for CNC Machining

INDUSTRY EXPERIENCE

1-Years