Dr. Vikas R. Phate

@gpamravati.ac.in

Senior Lecturer in Electronics and Telecommunication Engineering
Government Polytechnic, Amravati (MS)

Dr. Vikas R. Phate


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https://researchid.co/vikas.phate13

EDUCATION

Ph.D. (ECE)

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Agricultural and Biological Sciences, Multidisciplinary
18

Scopus Publications

311

Scholar Citations

11

Scholar h-index

11

Scholar i10-index

Scopus Publications

  • Formulation of Image-based Mass Model of Indian Potato (Solanum tuberosum) With Selected Dimensional Attributes Using Artificial Neural Network and Response Surface Method
    Vikas R. Phate, Shraddha B. Toney, Mangesh R. Phate, Prathamesh S. Mahore, Sarthak P. Phate
    Potato Research, 2025
  • Response Surface Modelling and Effective Application of Adaptive Neuro-Fuzzy Inference System to Analyze Surface Roughness of Al/Gr/Cp5 MMC Machined using WEDM
    Mangesh Phate, Shraddha Toney, Vikas Phate
    Australian Journal of Mechanical Engineering, 2023
    This paper presents an investigation of wire electrical discharge machining (WEDM) of new fabricated aluminium base composite with 5% graphite by weight, i.e., Al/Gr/Cp5. The new fabricated metal m...
  • Modelling and simulation of portable solar Scheffler reflector water heater using soft computing techniques
    Mangesh Phate, Shraddha Toney, Vikas Phate
    International Journal of Computer Applications in Technology, 2023
    Solar Scheffler reflector is a parabolic reflecting dish that concentrates sunlight for various solar based applications. The major disadvantages of the traditional flat plate collector are lower temperature in the concentrator system as compared to the parabolic concentrator. Experimental analysis of solar Scheffler reflector has been carried out for the performance improvement in Indian climate. A dish of 27 m² size has been designed for the study. The maximum capacity of 15 lit received was used for the analysis, which serves as a hot water storage system. The thermal efficiency was estimated based on the reflector's incident radiation shape, operation time, dish area, altitude angle, the initial temperature of the water, and tilt angle of the reflector. Response surface method and artificial neural network were employed to analyse the Scheffler reflector's performance. A good agreement was observed between the model predicted and the measured efficiencies. This work made an effort to predict the Scheffler reflector's thermal efficiency for water heating. The statistical parameters were calculated between actual or experimental efficiency with the model predicted efficiency. It found that the model predicted response of both RSM and ANN shows a good agreement.
  • Evaluation of human seated posture exposure to low-frequency vibrations using biodynamic model
    Mangesh Phate, Shraddha Toney, Vikas Phate
    International Journal of Vehicle Safety, 2023
    In this paper, the biodynamic responses exposed to human seated posture were investigated by developing a biodynamic model based on anthropometric data for various Indian male subjects. Four degrees of freedom model for the human seating posture was constructed to extract the different biodynamic responses at several low-frequency vibrations. The male subjects were categorised by age and body weight. A total of nine different categories were identified for the examination. The impact of body mass, age, stiffness, and damping coefficient of the body segments was analysed using MATLAB-based code. The biodynamic responses of seated posture have been measured in terms of seat-to-head transmissibility (STHT), driving point impedance (DPMI), and apparent mass (AM). The present work will help to predict the biodynamic responses of the seated human body under various vertical excitations. The results of the current work show that the proposed approach was very much effective and reliable for designing a seated posture ergonomically.
  • Multi-Response Optimization of Al/GrCp10 MMC Performance in WEDM Using Integrated TOPSIS-ANFIS Approach
    Mangesh Phate, Shraddha Toney, Vikas Phate, Vivek Tatwawadi
    Journal of the Institution of Engineers India Series D, 2022
  • Multi-response Optimization and Analysis of Al/B4Cp EDM using Grey Relational Analysis
    Shraddha B. Toney, Mangesh R. Phate, Vikas R. Phate
    Journal of Mechanical Engineering, 2022
    Development of material, especially metal matrix composite (aluminumbased MMC), attracts worldwide researchers due to its enhancement in wear and abrasive resistance, lightweight and high strength, low coefficient of thermal expansion. This work investigates the electrical discharge machining (EDM) of Aluminum/Boron Carbide (Al/B4C) MMC. The optimization will help the researchers or metal processing industries use the investigated optimized process parameters for efficient and effective machining parameters. Pulse on time (PON), pulse off time (POFF), a variation of boron carbide(CP), and input current (IP) were varied to measure material removal rate (MRR), wear rate of the tool (TWR), and the surface roughness (Ra). The Taguchi method is used for the analysis of the machining parameters. Grey relational grade (GRA) is employed for the optimization of machining responses and the input parameters. The influence of various EDM parameters is investigated by analysis of variance (ANOVA). The multi-response optimization was carried out by GRA (CP: 4% of B4C, PON” 25 micro-sec, POFF: 9 micro-sec, and input current of 8 amp). The optimum responses were MRR: 17.58 mm3 /sec, TWR: 0.064 mm3 /sec, and Ra: 1.20 microns. The Aluminum-based alloys or composites are widely used in aerospace applications, automobile sectors, construction, aircraft industries, etc.
  • Optimistic implementation of supply chain management in small & medium enterprise: Approach using grey relational Analysis (GRA)
    M. Phate, S. Toney, V. Phate
    International Journal of Industrial Engineering and Production Research, 2021
  • Multi-parametric Optimization of WEDM Using Artificial Neural Network (ANN)-Based PCA for Al/SiCp MMC
    Mangesh R. Phate, Shraddha B. Toney, Vikas R. Phate
    Journal of the Institution of Engineers India Series C, 2021
    Wire electrical discharge machining (WEDM) process optimization is essential when any novel material is discovered. The WEDM process has numerous variables which affect multiple responses. Therefore, multi-response optimization needs to be performed with the help of advanced optimization techniques. Multi-parametric optimization of the WEDM for processing aluminium silicate composite with 15–20% silicate (designated as Al/SiCp) was examined in the present work. A composite principal component was calculated using principal component analysis for multi-parametric optimization. The artificial neural network was employed for enhancing the performance of the process. Analysis of variance was performed to realize the influence of WEDM process parameters on the overall WEDM effectiveness. The WEDM response characteristics such as finish part roughness (Ra), material removal rate and kerf width were considered for this work. From the experimental findings, it is observed that the parameters, viz. the % composition of silicate, the pulse off time (POFF) and current (IP), are the most critical process parameters. The parameters obtained through the present analysis were silicate composition 15%, pulse on time 112 μs, POFF 56 μs, IP-3 A, wire feed rate 4 m/min, wire tension 10 kg and fluid pressure 13 kg/cm 3 .
  • Classification and Indirect Weighing of Sweet Lime Fruit through Machine Learning and Meta-heuristic Approach
    Vikas R. Phate, R. Malmathanraj, P. Palanisamy
    International Journal of Fruit Science, 2021
    In the past few decades, both academicians and industries have shown interest toward the agricultural post-harvest operation aiming to reduce the post-harvest losses. In order to assist farmers in ...
  • Prediction and optimization of tool wear rate during electric discharge machining of Al/Cu/Ni alloy using adaptive neuro-fuzzy inference system
    Mangesh Phate, Aditya Bendale, Shraddha Toney, Vikas Phate
    Heliyon, 2020
    Aluminum (Al)-copper (Cu)-nickel (Ni) alloy is a versatile material with lightweight and excellent strength. It also possesses properties such as superior corrosion resistance, fatigue strength. These alloys are essential in sectors viz. automobile, aerospace, defense, aerospace, etc. In this research work, the authors have presented the prediction and analysis of tool wear rate (TWR). The impact of electrical discharge machining (EDM) on process parameters viz. input current (IP), pulse on time (TON), pulse off time (TOFF)/for Al/Cu/Ni alloy with the composition 91/4/5 and 87/8/5 (weight %) is analyzed. Taguchi's L18 (21∗33) mixed plan is employed to plan the experimentation. A mathematical model develops to correlate these process parameters. A soft computing technique known as an adaptive neuro-fuzzy inference system (ANFIS) utilizes to predict TWR. Taguchi analysis reveals that input current is the most influencing parameter followed by pulse on time. TWR decreases with a decrease in the amount of Aluminium. It increases in the amount of copper in the alloy. TWR firstly decreases with an increase in pulse on time and then starts to grow after the median value of 25 micro-sec. The confirmation experiments have conducted using optimum process parameters to validate the obtained results. The experimental finding shows the superior capability of ANFIS to predict the TWR with acceptable accuracy. The optimized TWR obtained was 0.1238 mm3/min based on the optimal settings of input parameters.
  • Modeling and critical analysis of material removal rate in WEDM of oil hardening non-shrinking die steel (OHNS)
    Mangesh Phate, Shraddha Toney, Vikas Phate
    Engineering and Applied Science Research, 2020
  • An Indirect Method to Estimate Sweet Lime Weight through Machine Learning Algorithm
    Vikas R. Phate, R. Malmathanraj, P. Palanisamy
    Proceedings of the 4th International Conference on Computing Methodologies and Communication Iccmc 2020, 2020
  • Modelling and investigating the impact of EDM parameters on surface roughness in EDM of Al/Cu/Ni Alloy
    Mangesh Phate, Shraddha Toney, Vikas Phate
    Australian Journal of Mechanical Engineering, 2020
  • Investigation on the impact of silicon carbide and process parameters on Wire Cut-EDM of Al/SiCp MMC
    M. Phate, S. Toney, V. Phate
    International Journal of Industrial Engineering and Production Research, 2020
  • Clustered ANFIS weighing models for sweet lime (Citrus limetta) using computer vision system
    Vikas R. Phate, Ramanathan Malmathanraj, Ponnusamy Palanisamy
    Journal of Food Process Engineering, 2019
  • Classification and weighing of sweet lime (Citrus limetta) for packaging using computer vision system
    Vikas R. Phate, R. Malmathanraj, P. Palanisamy
    Journal of Food Measurement and Characterization, 2019
  • Optimization performance parameters of OHNS die steel using dimensional analysis integrated with desirability function
    International Journal of Industrial Engineering and Production Research, 2019
  • Analysis of Machining Parameters in WEDM of Al/SiCp20 MMC Using Taguchi-Based Grey-Fuzzy Approach
    Mangesh R. Phate, Shraddha B. Toney, Vikas R. Phate
    Modelling and Simulation in Engineering, 2019

RECENT SCHOLAR PUBLICATIONS

  • Formulation of Image-based Mass Model of Indian Potato (Solanum tuberosum) With Selected Dimensional Attributes Using Artificial Neural Network and Response Surface Method
    VR Phate, SB Toney, MR Phate, PS Mahore, SP Phate
    Potato Research , 2025
    2025
    Citations: 1
  • Response surface modelling and effective application of adaptive neuro-fuzzy inference system to analyze surface roughness of Al/Gr/Cp5 MMC machined using WEDM
    M Phate, S Toney, V Phate
    Australian Journal of Mechanical Engineering 21 (2), 653-667 , 2023
    2023
    Citations: 24
  • Modelling and simulation of portable solar Scheffler reflector water heater using soft computing techniques
    M Phate, S Toney, V Phate
    International Journal of Computer Applications in Technology 73 (2), 91-103 , 2023
    2023
    Citations: 2
  • Modelling and investigating the impact of EDM parameters on surface roughness in EDM of Al/Cu/Ni Alloy
    M Phate, S Toney, V Phate
    Australian Journal of Mechanical Engineering 20 (5), 1226-1239 , 2022
    2022
    Citations: 26
  • Multi-response optimization of Al/GrCp10 MMC performance in WEDM using integrated TOPSIS-ANFIS approach
    M Phate, S Toney, V Phate, V Tatwawadi
    Journal of The Institution of Engineers (India): Series D 103 (1), 249-261 , 2022
    2022
    Citations: 9
  • Model Formulation and Comparative Analysis of daily confirmed cases due to novel Coronavirus (COVID-19) pandemic 2020
    MR Phate, VR Phate, SB Toney
    SAMRIDDHI: A Journal of Physical Sciences, Engineering and Technology 14 (01 … , 2022
    2022
  • Evaluation of human seated posture exposure to low-frequency vibrations using biodynamic model
    M Phate, S Toney, V Phate
    International journal of vehicle safety 12 (3-4), 253-280 , 2022
    2022
    Citations: 2
  • Multi-response optimization and analysis of Al/B4Cp EDM using grey relational analysis
    M Phate, S Toney, V Phate
    Journal of Mechanical Engineering (JMechE) 19 (1), 39-56 , 2022
    2022
    Citations: 9
  • Classification and Indirect Weighing of Sweet Lime Fruit through Machine Learning and Metaheuristic Approach
    VR Phate, R Malmathanraj, P Palanisamy
    International Journal of Fruit Science 21 (1), 528-545 , 2021
    2021
    Citations: 17
  • Multi-parametric optimization of WEDM using artificial neural network (ANN)-based PCA for Al/SiCp MMC
    MR Phate, SB Toney, VR Phate
    Journal of The Institution of Engineers (India): Series C 102 (1), 169-181 , 2021
    2021
    Citations: 42
  • Optimistic implementation of supply chain management in small & medium enterprise: Approach using grey relational analysis (GRA)
    M Phate
    International Journal of Industrial Engineering & Production Research , 2021
    2021
    Citations: 2
  • Prediction and optimization of tool wear rate during electric discharge machining of Al/Cu/Ni alloy using adaptive neuro-fuzzy inference system
    M Phate, A Bendale, S Toney, V Phate
    Heliyon 6 (10) , 2020
    2020
    Citations: 16
  • Modeling and critical analysis of material removal rate in WEDM of Oil Hardening Non Shrinking Die Steel (OHNS)
    M Phate, S Toney, V Phate
    Engineering and Applied Science Research 47 (3), 264-274 , 2020
    2020
    Citations: 5
  • Investigation on the impact of silicon carbide and process parameters on wire cut-EDM of Al/SiCp MMC
    M Phate, S Toney, V Phate
    International Journal of Industrial Engineering & Production Research 31 (2 … , 2020
    2020
    Citations: 14
  • INVESTIGATION OF Al/Gr/Cp10 WEDM USING ARTIFICIAL NEURAL NETWORK BASED GREY RELATIONAL ANALYSIS
    MR Phate, SB Toney, VR Phate
    Annals of the Faculty of Engineering Hunedoara 18 (2), 141-149 , 2020
    2020
    Citations: 2
  • An Indirect Method to Estimate Sweet Lime Weight through Machine Learning Algorithm
    VR Phate, R Malmathanraj, P Palanisamy
    INTERNATIONAL CONFERENCE ON COMPUTING METHODOLOGIES AND COMMUNICATION , 2020
    2020
    Citations: 11
  • Prediction and analysis of surface roughness in WEDM of Al/Gr/Cp5 MMC using RSM and ANN
    MR Phate, SB Toney, VR Phate
    Industrial Engineering Journal 12 (12), 1-14 , 2019
    2019
    Citations: 7
  • Clustered ANFIS weighing models for sweet lime (Citrus limetta) using computer vision system
    VR Phate, R Malmathanraj, P Palanisamy
    Journal of Food Process Engineering 42 (6), e13160 , 2019
    2019
    Citations: 25
  • Classification and weighing of sweet lime ( Citrus limetta ) for packaging using computer vision system
    VR Phate, R Malmathanraj, P Palanisamy
    Journal of Food Measurement and Characterization 13 (2), 1451-1468 , 2019
    2019
    Citations: 26
  • Analyze the Impact of Machining Environment on Human Energy in Indian Small Scale Industries
    MR Phate, MS Deshmukh, SB Toney, VR Phate
    2019

MOST CITED SCHOLAR PUBLICATIONS

  • Analysis of Machining Parameters in WEDM of Al/SiCp20 MMC Using Taguchi-Based Grey-Fuzzy Approach
    MR Phate, SB Toney, VR Phate
    Modelling and Simulation in Engineering 2019 , 2019
    2019
    Citations: 45
  • Multi-parametric optimization of WEDM using artificial neural network (ANN)-based PCA for Al/SiCp MMC
    MR Phate, SB Toney, VR Phate
    Journal of The Institution of Engineers (India): Series C 102 (1), 169-181 , 2021
    2021
    Citations: 42
  • Modelling and investigating the impact of EDM parameters on surface roughness in EDM of Al/Cu/Ni Alloy
    M Phate, S Toney, V Phate
    Australian Journal of Mechanical Engineering 20 (5), 1226-1239 , 2022
    2022
    Citations: 26
  • Classification and weighing of sweet lime ( Citrus limetta ) for packaging using computer vision system
    VR Phate, R Malmathanraj, P Palanisamy
    Journal of Food Measurement and Characterization 13 (2), 1451-1468 , 2019
    2019
    Citations: 26
  • Clustered ANFIS weighing models for sweet lime (Citrus limetta) using computer vision system
    VR Phate, R Malmathanraj, P Palanisamy
    Journal of Food Process Engineering 42 (6), e13160 , 2019
    2019
    Citations: 25
  • Response surface modelling and effective application of adaptive neuro-fuzzy inference system to analyze surface roughness of Al/Gr/Cp5 MMC machined using WEDM
    M Phate, S Toney, V Phate
    Australian Journal of Mechanical Engineering 21 (2), 653-667 , 2023
    2023
    Citations: 24
  • Optimization of performance parameters for OHNS die steel using dimensional analysis integrated with desirability function
    MR Phate, SB Toney, VR Phate
    INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING AND PRODUCTION RESEARCH … , 2019
    2019
    Citations: 22
  • Classification and Indirect Weighing of Sweet Lime Fruit through Machine Learning and Metaheuristic Approach
    VR Phate, R Malmathanraj, P Palanisamy
    International Journal of Fruit Science 21 (1), 528-545 , 2021
    2021
    Citations: 17
  • Prediction and optimization of tool wear rate during electric discharge machining of Al/Cu/Ni alloy using adaptive neuro-fuzzy inference system
    M Phate, A Bendale, S Toney, V Phate
    Heliyon 6 (10) , 2020
    2020
    Citations: 16
  • Investigation on the impact of silicon carbide and process parameters on wire cut-EDM of Al/SiCp MMC
    M Phate, S Toney, V Phate
    International Journal of Industrial Engineering & Production Research 31 (2 … , 2020
    2020
    Citations: 14
  • An Indirect Method to Estimate Sweet Lime Weight through Machine Learning Algorithm
    VR Phate, R Malmathanraj, P Palanisamy
    INTERNATIONAL CONFERENCE ON COMPUTING METHODOLOGIES AND COMMUNICATION , 2020
    2020
    Citations: 11
  • Multi-response optimization of Al/GrCp10 MMC performance in WEDM using integrated TOPSIS-ANFIS approach
    M Phate, S Toney, V Phate, V Tatwawadi
    Journal of The Institution of Engineers (India): Series D 103 (1), 249-261 , 2022
    2022
    Citations: 9
  • Multi-response optimization and analysis of Al/B4Cp EDM using grey relational analysis
    M Phate, S Toney, V Phate
    Journal of Mechanical Engineering (JMechE) 19 (1), 39-56 , 2022
    2022
    Citations: 9
  • Prediction and analysis of surface roughness in WEDM of Al/Gr/Cp5 MMC using RSM and ANN
    MR Phate, SB Toney, VR Phate
    Industrial Engineering Journal 12 (12), 1-14 , 2019
    2019
    Citations: 7
  • Modeling and critical analysis of material removal rate in WEDM of Oil Hardening Non Shrinking Die Steel (OHNS)
    M Phate, S Toney, V Phate
    Engineering and Applied Science Research 47 (3), 264-274 , 2020
    2020
    Citations: 5
  • Prediction and Analysis of Apparent Masses (AM) of Anthropometric based Human Seated Posture
    MR Phate, SB Toney, VR Phate
    2019
    Citations: 4
  • Modelling and simulation of portable solar Scheffler reflector water heater using soft computing techniques
    M Phate, S Toney, V Phate
    International Journal of Computer Applications in Technology 73 (2), 91-103 , 2023
    2023
    Citations: 2
  • Evaluation of human seated posture exposure to low-frequency vibrations using biodynamic model
    M Phate, S Toney, V Phate
    International journal of vehicle safety 12 (3-4), 253-280 , 2022
    2022
    Citations: 2
  • Optimistic implementation of supply chain management in small & medium enterprise: Approach using grey relational analysis (GRA)
    M Phate
    International Journal of Industrial Engineering & Production Research , 2021
    2021
    Citations: 2
  • INVESTIGATION OF Al/Gr/Cp10 WEDM USING ARTIFICIAL NEURAL NETWORK BASED GREY RELATIONAL ANALYSIS
    MR Phate, SB Toney, VR Phate
    Annals of the Faculty of Engineering Hunedoara 18 (2), 141-149 , 2020
    2020
    Citations: 2