Dr. Umesh Kumar Vates
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Dr. Umesh Kumar Vates

Assistant Professor-III
Amity University, India

Highest Degree
Ph.D. in Modern Manufacturing from Indian Institute of Technology, India

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Area of Interest:

Physical Science Engineering
100%
Manufacturing Processes
62%
Electrical Machines
90%
Surface Treatment
75%
Optimization
55%

Research Publications in Numbers

Books
0
Chapters
0
Articles
27
Abstracts
0

Selected Publications

  1. Kanu, N.J., S. Bapat, H. Deodhar, E. Gupta and G.K. Singh et al., 2022. An insight into processing and properties of smart carbon nanotubes reinforced nanocomposites. Smart Sci., 10: 40-55.
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  2. Gonfa, B.K., D. Sinha, U.K. Vates, I.A. Badruddin and M. Hussien et al., 2022. Investigation of mechanical and tribological behaviors of aluminum based hybrid metal matrix composite and multi-objective optimization. Materials, Vol. 15. 10.3390/ma15165607.
    CrossRef  |  Direct Link  |  
  3. Kanu, N.J., E. Gupta, U.K. Vates and G.K. Singh, 2020. Electrospinning process parameters optimization for biofunctional curcumin/gelatin nanofibers. Mater. Res. Express, Vol. 7. 10.1088/2053-1591/ab7f60.
    CrossRef  |  Direct Link  |  
  4. Kanu, N.J., U.K. Vates, G.K. Singh and S. Chavan, 2019. Fracture problems, vibration, buckling, and bending analyses of functionally graded materials: A state-of-the-art review including smart FGMS. Part. Sci. Technol., 37: 583-608.
    CrossRef  |  Direct Link  |  
  5. Kanu, N.J., E. Gupta, U.K. Vates and G.K. Singh, 2019. An insight into biomimetic 4D printing. RSC Adv., 9: 38209-38226.
    CrossRef  |  Direct Link  |  
  6. Vates, U.K., S. Sharma and V.K. Mittal, 2017. Optimisation of honing process parameters for reducing surface roughness and power consumption on grey cast iron (FG-260I). Int. J. Additive Subtractive Mater. Manuf., 1: 67-81.
  7. Vates, U.K., G.K. Singh, B.P. Sharma and T. Jain, 2017. Change in microstructure of heat treated Ti6Al4V alloy in different temperatures and strain rate. J. Manuf. Eng., 12: 174-178.
  8. Rai, S., S.K. Prashant, A. Kumar, R. Mishra, U.K. Vates and G.K. Singh, 2017. Optimization of process parameters in Ti-6Al-4V during CNC turning. Middle East J. Scient. Res., 25: 939-949.
  9. Vates, U.K., N.K. Singh and R.V. Singh, 2016. Modelling and optimisation of wire electrical discharge machining process on D2 steel using ANN and RMSE approach. Int. J. Comput. Mater. Sci. Surf. Eng., 6: 161-185.
  10. Vates, U.K. and N.K. Singh, 2016. Optimization of surface roughness process parameters of electrical discharge machining of EN-31 by response surface methodology. Int. J. Eng., 6: 835-840.
    Direct Link  |  
  11. Gupta, H., U.K. Vates, G.K. Singh, S. Sharma and V. Kumar, 2016. Optimization of influencing drilling parameters in HSS T1 using response surface methodology. Middle East J. Scient. Res., 24: 3067-3077.
  12. Vates, U.K., N.K. Singh and R.V. Singh, 2015. Modeling and optimization of wire electrical discharge machining process on D2 steel using ANN and RMSE. Int. J. Comput. Sci. Surf. Eng., 6: 56-67.
  13. Vates, U.K., N.K. Singh and B.N. Tripathi, 2015. Surface finish analysis of D2 steel in WEDM using ANN and regression modelling with influence of fractional factorial design of experiment. Int. J. Eng. Trends Technol., 7: 98-104.
  14. Vates, U.K., N.A. Daniel and N.K. Singh, 2015. Parametric optimization and simulation of mild steel cup in deep drawing using LS-Dyna. Int. J. Applied Eng. Res., 10: 24479-24489.
  15. Tripathi, B.N., N.K. Singh and U.K. Vates, 2015. Surface roughness influencing process parameters and modeling techniques for four stroke motor bike cylinder liners during honing: Review. Int. J. Mech. Mechatron. Eng., 15: 36-44.
  16. Tripathi, B.N., N.K. Singh and U.K. Vates, 2015. Modeling and optimization of honda bike cylinder liner in honing using RSM and RMSE technique. Int. J. Applied Eng. Res., 10: 78-83.
  17. Vates, U.K., N.K. Singh and R.V. Singh, 2014. Modelling of process parameters on D2 steel using wire electrical discharge machining with combined approach of RSM and ANN. Int. J. Scient. Eng. Res., 5: 2026-2035.
    Direct Link  |  
  18. Vates, U.K., N.K. Singh and R.V. Singh, 2014. Effect of alloying content on surface roughness of die materials at optimal parametric condition using WEDM. Int. J. Adv. Mech. Eng., 4: 701-712.
    Direct Link  |  
  19. Vates, U.K., N.K. Singh and R.V. Singh, 2014. ANN modelling and optimization of Ra with corresponding MRR on HSS T42 Steel using WEDM process. Int. J. Mech. Mechatron. Eng., 14: 30-38.
  20. Vates, U.K., N.K. Singh and R.V. Singh, 2014. ANN modeling and optimization of Ra with corresponding MRR on HSS T42 steel using WEDM process. Int. J. Mech. Mechatron. Eng., 14: 114-128.
    Direct Link  |  
  21. Vates, U.K., B.N. Tripath and N.K. Singh, 2014. Surface finish analysis of D2 steel in WEDM using ANN and regression modelling with influence of fractional factorial design of experiment. Int. J. Eng. Trends Technol., 19: 89-95.
  22. Vates, U.K., N.K. Singh and R.V. Singh, 2013. Modeling and prediction of Ra of EN31 in wire electrical discharge machining using ANN and MSE approach. Int. J. Applied Eng. Res., 9: 9273-9296.
  23. Vates, U.K. and N.K. Singh, 2013. Optimization of surface roughness process parameters of electrical discharge machining of EN31 by response surface methodology. Int. J. Adv. Res., 1: 57-64.
  24. Daniel, N.A., N.K. Singh and U.K. Vates, 2013. Optimization of deep drawing process parameter during die making. Int. J. Prod. Qual. Eng., 2: 46-53.
  25. Vates, U.K., N.K. Singh and R.V. Singh, 2012. Process parameter optimization of MRR during EDM process. Int. J. Mater. Sci. Eng., 3: 35-40.
  26. Vates, U.K., N.K. Singh and R.V. Singh, 2012. Effectiveness enhancement for MRR and surface roughness in wire electrical discharge machining: A review. Int. J. Prod. Qual. Eng., 3: 13-26.
  27. Tripathi, B.N., N.K. Singh and U.K. Vates, 2012. GA modeling and optimization of surface roughness process parameter during honing of cylinder linear. Int. J. Manuf. Sci. Technol., 5: 39-46.