Sanjay Pratapsingh Shekhawat

@sscoetjalgaon.ac.in

Professor Mechanical Engineering
SSBT's College of Engineering & Technology

Sanjay Pratapsingh Shekhawat


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https://researchid.co/spshekhawat
Member of Professional Bodies:
1. Life member of Indian Society for Technical Education, New Delhi
2. Life member of Solar Energy Society of India (LM/1983/2013)
3. Governing Council member of Solar Energy Society of India (2017-2019)
4. Member of Marathi Vidnyan Parishad (Marathi Science Council)
Teaching Experience:
At Shram Sadhana Bombay Trusts (SSBT), College of Engineering & Technology(COET), Bambhori, Jalgaon. The College was accredited by National Board of Accreditation, New Delhi for three times from 2005 and The Institute is Accredited by National Assessment and Accreditation Council (NAAC) with CGPA of 2.91 on a seven-point scale at B++ Grade.

Vice Principal - from 22-08-2019 to 22-02-2022
Professor - from 01-01-2015
Associate Professor - from 01-07-2012 to 31-12-2014
Assistant Professor - from 01-07-2009 to 30 – 06 -2012
Senior Lecturer - from 01-08-2007 to 30–06–2009
Lecturer - from 15-07-1999 to 31

EDUCATION

PhD ( Mechanical Engg), ME ( Design), BE ( Mechanical ENGG)

RESEARCH INTERESTS

Energy, Design
16

Scopus Publications

311

Scholar Citations

10

Scholar h-index

10

Scholar i10-index

Scopus Publications

  • Validation of Mechanical Property Variability in Medical-Grade Polymeric Biomaterials Used for Orthopedic Implants
    Mr. Harshal Panditrao Deshmukh, Sanjay Pratapsingh Shekhawat, Ajaygiri K. Goswami
    International Journal of Drug Delivery Technology, 2026
    Medical-grade polymeric biomaterials, including polyether ether ketone (PEEK), polymethyl methacrylate (PMMA), and ultra-high molecular weight polyethylene (UHMWPE), are extensively employed in orthopedic implant systems due to their favorable mechanical performance, biocompatibility, and established clinical reliability. Nevertheless, manufacturer datasheets frequently report mechanical properties across broad ranges, which may introduce variability and uncertainty in implant design, computational modelling, and performance prediction. In the present study, Shore D hardness and compressive strength of medical-grade PEEK, PMMA, and UHMWPE were experimentally determined to establish precise mechanical property values directly relevant to load-bearing orthopedic applications. All testing was performed in accredited laboratories under standardized conditions, with specimen preparation conforming to established testing protocols. The experimentally obtained values were systematically compared with datasheet-reported ranges and previously published literature. The results revealed notable deviations from nominal datasheet values, particularly in compressive strength, underscoring the necessity of experimental validation prior to tribological evaluation or biomechanical modelling. The validated mechanical property dataset generated herein provides robust input parameters for implant design, finite element analysis, and subsequent wear characterization of medical-grade polymeric biomaterials employed in hip and knee joint prostheses
  • Effect of process parameters on microhardness of SS304 coated with blended TiO2/ZnO
    Vandana N. Mahajan, M. J. Sable, S. P. Shekhawat, Suhas R. Patil
    Aip Conference Proceedings, 2024
  • Development and Economical Analysis of Innovative Parabolic Trough Collector Integrated Solar Still
    Milind PATİL, Ishan PATİL, Sanjay SHEKHAWAT, Neelkanth NİKAM
    International Journal of Thermodynamics, 2024
    Experimental setup of the integrated parabolic trough collector (PTC) with solar still was developed. PTC was designed considering the solar geometry and the physical laws of parabolic shape and the concentrators. Test were conducted at the location with latitude 19.9975ON and longitude 73.7898OE. Theoretical analysis was done using ray tracing and engineering equation solver (EES) software while designing the system. PTC system was developed with dimensions of 1.5 m length, 1 m width and a concentration ratio (CR) of 21.22. Theoretical thermal efficiency was predicted as 48.1% whereas experimental average thermal efficiency is observed as 42.76%. The observed temperature difference between the vapor and the glass cover is about 17 °C and between ambient air and vapor is about 24.4 °C. Maximum water temperature in the conventional solar still was 64.6 °C where as for the PTC coupled solar still was 74.4 °C. PTC coupled solar still is having averagely 37% higher production rate. This has definitely added an advantage because of the higher energy absorption rate compared with the conventional solar still. PTC coupled solar still system has nearly 35% more heat absorption. Total embodied energy of the system is around 896.875 kWh. Total capital cost of the system is Rs. 41300/-. Total annual output of pure water is around 3 L/Day. Estimated energy payback period is around 2.29 years and the total carbon credit earned is Rs. 2165.38 per year.
  • Prediction of waste and compost generation for Nashik city using neural network
    Chandrashekhar D. Mohod, Milind S. Patil, Sanjay P. Shekhawat, Shyamkumar D. Kalpande
    Aip Conference Proceedings, 2023
  • Design and Analysis of Ventilation System for Closed Poultry House in Tropical Climate Conditions
    Kapil A. Saner, Sanjay P. Shekhawat
    Journal of World S Poultry Research, 2023
    The climate significantly impacts the temperature in different parts of the world. A moderate environment makes it simple to construct a chicken farm. Nevertheless, raising the birds in tropical places where typical temperatures can exceed 40-45°C is difficult because they can only survive at temperatures between 30°C and 35°C. As a result, the current study aimed to design a chicken house with a ventilation and cooling system to prevent excessive heat. The effectiveness of ventilation systems in maintaining liveable and constant conditions at the chicken house was assessed using computational fluid dynamics modeling to mimic internal and external airflows. In this study, a water evaporator-based cooling system and an exhaust fan-based ventilation system were built within a poultry house. ANSYS CFD was utilized to create the design and examine the flow of the model. The findings of each model were generated individually, and these results were compared to those of the other models to determine which model could decrease the temperature within the chicken coop. The proposed model's maximum temperature was around 30-32°C. A poultry house can be constructed using this idea to maintain chickens at a suitable temperature range of 30-32°C.
  • Numerical Analysis and ANN Modeling of the Intercooled, Reheat and Regenerative Gas Turbine Cycle
    Milind S. Patil, Shyamkumar D. Kalpande, Sanjay P. Shekhawat, Chandrashekhar D. Mohod
    Lecture Notes in Networks and Systems, 2023
  • Performance Analysis and ANN Modeling of Solar Parabolic trough Collector
    M. S. Patil, S. P. Shekhawat
    Applied Solar Energy English Translation of Geliotekhnika, 2022
    Abstract This paper presents the experimental results of thermal analysis of a solar parabolic trough collector receiver. For performance improvement and regulating the temperature distribution convergent divergent receiver tube is used. For performance improvement spiral tape as insert is used inside the convergent divergent receiver tube. Average Reynolds number during the experimentation varied from 15 000 to 22 000. With use of diverging receiver tube and spiral tape average Nusselt number was increased by 9.21% and overall heat transfer coefficient by 13.2%. Thermal efficiency of the system was increased by 30% compare with conventional constant diameter receiver tube. From the results of experiments and heat loss observations cap type receiver proposed with converging receiver. Experimental results used for development of artificial neural network prediction model using nonlinear autoregressive network with exogenous inputs (NARX). The developed model has mean square error of 5.81 and the regression coefficient 0.95. Thus, the model has a good predictability.
  • Performance Assessment of Parabolic Trough Collector Receiver with Al2 O3 Nanofluid
    Milind Patil, Sanjay Shekhawat
    Journal of Water and Environmental Nanotechnology, 2022
    This paper discusses the experimental and theoretical performance of a parabolic trough receiver using a nanofluid. The main aim of this work is to analyze the performance enhancement of the parabolic trough collector system. The thermal model is developed using Engineering Equation Solver (EES). Experimental analysis was done with a water volume flow rate of 10 L/min and water inlet temperature range from 0 to 45 OC, also the volume fraction of Al2O3 nanoparticle varied from 1% to 5%. Experimental analysis conducted using Al2O3 nanoparticle mixed with water and used as heat transfer fluid in solar parabolic trough collector. Results compared and observed that the model has very good acceptance with the experimental results. It is observed that the thermal efficiency of the collector increased by 2 to 4% and receiver heat loss decreased from 0.82% to 2.72%. The receiver water temperature increased by 15% for the range of Al2O3 nanoparticle volume fraction. This work was carried out to investigate the use of renewable energy for water heating applications on rural farms in India. Small-sized PTC is simple in construction, economical, and does not require special skills to operate. However, considering the space requirement it would be better to investigate the method to improve the performance of PTC without changing the dimensions. One way to improve the performance is with the use of nanofluids. This work’s main finding is that the Nanoparticle with a volume fraction of 4 will improve the performance. It was observed that the temperature of the water was improved by 15% and the thermal efficiency was increased by 4%.
  • Artificial Neural Based Quality Assessment of Guava Fruit
    Tejas G. Patil, Sanjay P. Shekhawat
    Evergreen, 2022
    Merchants and food services are very competitive, and food manufacturers are under considerable pressure not to increase end-product costs when production costs go up. External pressures causing physical texture changes or chemical color, smell, and taste alterations induce fruit tissue injury. To examine this, a novel technique is proposed to identify surface and subsurface flaws utilizing a thermal picture and ordinary digital image concerning the original guava. This study discovered thermal data for thermal image capturing on the guava samples stored in the atmosphere with a FLIR-C2 thermal camera. A systematic Image processing approach was employed to distinguish the injured tissues of the fruits that were unaffected. The total result of the identification of thermal blushes is 95 %, whereas the result of standard image processing is 62.5 %. Theory permitted to differentiate the sound from the defected fruit scorched by birds or insects in creating food processing safety policies, developing the passive thermographic method.
  • Predicting Solar Insolation Incident on Horizontal Surface for Performance Assessment of Solar Systems
    Milind S. Patil, Sanjay Shekhawat
    Icsccc 2021 International Conference on Secure Cyber Computing and Communications, 2021
    To monitor the performance of solar systems solar insolation is need to measure. Measuring instrument used for the measurement has very high cost and uncertainty involved is higher. Availability of such instruments in the rural area is again a challenge. This paper discusses results of developed NARX ANN model. This model will use for forecasting the solar insolation falling on the surface of the solar system developed. Many studies are going on in nearby areas of North Maharashtra University and the College of Engineering Bambhori. SSBT College of Engineering has installed solar PV with capacity 200 kW. Performance of this system is required to be monitor and identify the maintenance need. For this purpose it is necessary to know all sky solar insolation falling on the system. ANN prediction model developed which has MSE (Mean squared error) 0.01553. The regression coefficient observed was 0.9399, 0.899 and 0.880 for training, validation and testing. The overall regression coefficient was 0.92 thus the model has a good predictability and useful for predicting the solar insolation and it would be easy to monitor the performance of a installed PV plant.
  • Machining of aluminium metal matrix composite: A review
    Ajay R. Bhardwaj, AM. Vaidya, SP. Shekhawat
    Materials Today Proceedings, 2020
  • An innovative design approach of hot water storage tank for solar water heating system using artificial neural network
    Mahesh.V. Kulkarni, D.S. Deshmukh, S.P Shekhawat
    Materials Today Proceedings, 2020
  • Estimation of Average Daily SolarRadiation for Rural Areas Using ANN
    Milind S. Patil, Sanjay P. Shekhawat
    2019 IEEE Pune Section International Conference Punecon 2019, 2019
  • Engineering education system in modern india: A paradigm shift
    Journal of Engineering Education Transformations, 2019
  • Experimental investigation of effect of meteorology and turbidity on operation of salt gradient solar pond in the tropics
    International Journal of Renewable Energy Research, 2014
  • Meteorologically efficient commissioning of salt gradient solar pond 1
    Haider Husain, Sanjay Shekhawat, Mujahid Husain
    Applied Solar Energy English Translation of Geliotekhnika, 2012

RECENT SCHOLAR PUBLICATIONS

  • Intelligent fruit sorter for quality evaluation of guava fruit using image analysis.
    TG PATIL, SP SHEKHAWAT, K Lalit, LN PATIL, AA PATIL
    Sigma: Journal of Engineering & Natural Sciences/Mühendislik ve Fen … , 2026
    2026
  • Development of Orthopedic Implants: Tribological Insights and Biomedical Material Innovations in Mechanical Engineering
    DAKG Harshal Panditrao Deshmukh, Dr. Sanjay Pratapsingh Shekhawat
    journal of Neonatal Surgery 14 (23) , 2025
    2025
  • Exploring vedic mathematical tools for modern engineering designed problem solving
    DSS Dr Yogita patil, Mr Dhanesh patil, Dr saroj patil
    Vidyavarta 14 (53) , 2025
    2025
  • A Brief Introduction of Frugal Innovations and Indian Traditional Knowledge
    DSP Dr Sanjay Shekhawat
    International Conference on Innovation, Entrepreneurship and Innovations , 2025
    2025
  • Investigation of green supply chain management practices in small scale industries: applying analytic hierarchy process method and paired correlation
    PKS Bajaj, SP Shekhawat, PM Solanki
    Future of Management: Embracing Sustainability, Diversity, and Inclusivity … , 2024
    2024
  • Effect of process parameters on microhardness of SS304 coated with blended TiO 2 /ZnO
    VN Mahajan, MJ Sable, SP Shekhawat, SR Patil
    AIP Conference Proceedings 3122 (1), 100034 , 2024
    2024
  • Development and Economical Analysis of Innovative Parabolic Trough Collector Integrated Solar Still
    NN Milind Patil, Sanajy Shekhawat, I Patil
    International Journal of Thermodynamics 27 (1) , 2024
    2024
  • Analytic Hierarchy Process framework for prioriting green supply chain factors: A case study of small scale industries
    DPS Prashant Bajaj, Dr sanjay Shekhawat
    Innovations 76 , 2024
    2024
  • Optimization of Corrosion Behaviour of Blended TiO2/ZnO Coating on SUS304 using Taguchi Method
    DSP Vandana Majajan, Dr M J Sable, Dr Sanjay P Shekhawat
    Indian Journal of Science and technology 17 (5) , 2024
    2024
    Citations: 1
  • Development and Economical Analysis of Innovative Parabolic Trough Collector Integrated Solar Still
    NN Milind Patil, Sanajy Shekhawat, I Patil
    International Journal of Thermodynamics 27 (1), 022-034 , 2024
    2024
    Citations: 4
  • Analytic Hierarchy Process framework for prioriting green supply chain factors: A case study of small scale industries
    DPS Prashant Bajaj, Dr sanjay Shekhawat
    Innovations 76 , 2024
    2024
  • Optimization of Corrosion Behaviour of Blended TiO2 /ZnO Coating on SUS 304 using Taguchi Method
    SRP Vandana N Mahajan, M J Sable, S P Shekhawat
    Indian Journal of Science and Technology 17 (5), 451-456 , 2024
    2024
  • Prediction of waste and compost generation for Nashik city using neural network
    CD Mohod, MS Patil, SP Shekhawat, SD Kalpande
    AIP Conference Proceedings 2917 (1), 030001 , 2023
    2023
    Citations: 1
  • Practices and drives for green supply chain management implementation among small scale industries
    DSPSDPMS Prashant kumar Bajaj
    Industrial Engineering Journal 52 (10) , 2023
    2023
    Citations: 3
  • A Holistic Investigation of Green Supply Chain Management Practices in Small Scale Industries: Applying AHP Methods and Paired Correlation
    DSPSDPMS Prashant kumar Bajaj
    Journal of Harbin Engineering University 44 (11) , 2023
    2023
  • PRACTICES AND DRIVERS FOR GREEN SUPPLY CHAIN MANAGEMENT IMPLEMENTATION AMONG SMALL SCALE INDUSTRIES
    DPMS Prashantkumar S. Bajaj, Dr. Sanjay P. Shekhawat
    Industrial Engineering Journal 52 (10), 57-66 , 2023
    2023
  • Design and analysis of ventilation system for closed poultry house in tropical climate conditions
    KA Saner, SP Shekhawat
    Journal of World's Poultry Research 13 (3), 323-331 , 2023
    2023
    Citations: 8
  • Numerical Analysis and ANN Modeling of the intercooled, reheat and regenerative gas turbine cycle
    MS Patil, SD Kalpande, SP Shekhawat, CD Mohod
    IoT Based Control Networks and Intelligent Systems: Proceedings of 3rd … , 2022
    2022
    Citations: 1
  • Performance analysis and ANN modeling of solar parabolic trough collector
    MS Patil, SP Shekhawat
    Applied Solar Energy 58 (4), 538-550 , 2022
    2022
    Citations: 3
  • Performance Assessment of Parabolic Trough Collector Receiver with Al2O3 Nanofluid
    MS Patil, SP Shekhawat
    Journal of Water and Environmental Nanotechnology 7 (3), 332-343 , 2022
    2022
    Citations: 3

MOST CITED SCHOLAR PUBLICATIONS

  • Machining of aluminium metal matrix composite: a review
    AR Bhardwaj, AM Vaidya, SP Shekhawat
    Materials Today: Proceedings 21, 1396-1402 , 2020
    2020
    Citations: 33
  • An innovative design approach of hot water storage tank for solar water heating system using artificial neural network
    MV Kulkarni, DS Deshmukh, SP Shekhawat
    Materials Today: Proceedings 46, 5400-5405 , 2021
    2021
    Citations: 32
  • Wear analysis of polytetrafluoroethylene and it’s composites under dry conditions using Design-Expert
    D Bagale, S Shekhawat, J Chaudhari
    International Journal of Scientific and Research Publications 3 (1), 1-5 , 2013
    2013
    Citations: 26
  • Artificial neural based quality assessment of guava fruit
    TG Patil, SP Shekhawat
    Evergreen 9 (2), 389-395 , 2022
    2022
    Citations: 22
  • Industry 4.0 implications on agriculture sector: An overview
    TG Patil, SP Shekhawat
    International journal of management, technology and engineering 9 (1), 1512-1524 , 2019
    2019
    Citations: 22
  • Improving efficiency of solar water heater using phase change materials
    MV Kulkarni, DS Deshmukh
    IJSSBT 3, 2277-7261 , 2014
    2014
    Citations: 16
  • Design, analysis and optimization of leaf spring
    DK Bhandarkar, SP Shekhawat
    International Journal of Innovative Research in Science, Engineering and … , 2014
    2014
    Citations: 13
  • Wear Analysis of Polytetrafluoroethylene (PTFE) and its Composites under Wet Conditions
    SB Chaudhari, SP Shekhawat
    IOSR Journal of Mechanical and Civil Engineering 8 (2), 07-18 , 2013
    2013
    Citations: 12
  • Experimental investigation of heat loss from hemispherical solar concentrator receiver
    M Patil, R Jahagirdar, E Deore
    Frontiers in Heat and Mass Transfer (FHMT) 3 (3) , 2012
    2012
    Citations: 11
  • Performance characterization of single cylinder DI diesel engine fueled with Karanja biodiesel
    RS Jahagidar, ER Deore, MS Patil, PS Desale
    Proceedings of the world congress on engineering 3, 6-8 , 2011
    2011
    Citations: 11
  • Thermal Performance of Reheat, Regenerative, Inter Cooled Gas Turbine Cycle
    MS Patil, DB Pawase, ER Deore
    International Journal of Research in Mechanical Engineering & Technology 5 … , 2015
    2015
    Citations: 9
  • Design and analysis of ventilation system for closed poultry house in tropical climate conditions
    KA Saner, SP Shekhawat
    Journal of World's Poultry Research 13 (3), 323-331 , 2023
    2023
    Citations: 8
  • Development of an Iot‐Based Solar Banana Dryer Monitoring and Control System
    PS Patil, DR Pangavhane, SP Shekhawat, DS Deshmukh, MS Deshmukh
    International Journal of Mechanical Engineering 7 (1), 4745-4752 , 2022
    2022
    Citations: 8
  • Salt Gradient Solar Pond: Future Energy Option for India
    MH S P Shekhawat, N V Halegowda
    International Journal of Energy Engineering 4 (1), 9-11 , 2014
    2014
    Citations: 8
  • Performance test of IC engine using blends of ethanol and kerosene with diesel
    MS Patil, DRS Jahagirdar, ER Deore
    International Journal of Engineering Science and Technology 2 (8), 3503-3509 , 2010
    2010
    Citations: 8
  • Advanced Technology of Cryoprocessing for the Enhancement of Tool Material Machining Characteristics: A Review
    MASK Mr. Sandip B.Chaudhari1 , Prof. Sanjay P
    International Journal of Emerging Technology and Advanced Engineering 2 (4 … , 2012
    2012
    Citations: 6
  • Analysis of Blade of axial flow fan using Ansys
    N Mahajan Vandana, P Shekhawat Sanjay
    International Journal of Advanced Engineering Technology E-ISSN, 0976-3945.2012 , 2011
    2011
    Citations: 6
  • Engineering education system in modern India: A paradigm shift
    SP Shekhawat, M Husain, S Patil
    Journal of Engineering Education Transformations, 27-30 , 2019
    2019
    Citations: 5
  • Performance of Single Cylinder DI Diesel Engine Varied Compression Ratio Fueled With Blends of Ethanol
    ER Deore, RS Jahagirdar, MS Patil, PS Desale
    Proceedings of the World Congress on Engineering 3, 2078-0958 , 2011
    2011
    Citations: 5
  • Development and Economical Analysis of Innovative Parabolic Trough Collector Integrated Solar Still
    NN Milind Patil, Sanajy Shekhawat, I Patil
    International Journal of Thermodynamics 27 (1), 022-034 , 2024
    2024
    Citations: 4