Dr. R. Pugazhenthi

Associate Professor
Vels University, India


Highest Degree
Ph.D. in Optimization of Production from VIT University, India

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Biography

Dr. R. Pugazhenthi is working as an Associate Professor at Madha Engineering College, India. He obtained his Bachelor in Mechanical Engineering from Madurai Kamaraj University, and Master in Production Engineering from Manonmaniyam Sundranar University and He completed his Doctorate in School of Mechanical and Building Sciences, VIT University. He has around 13 years of teaching experience. His areas of interest include manufacturing, scheduling and industrial engineering, Material science. He had published 14 papers in various international/national journals and conference proceedings.

Area of Interest:

Physical Science Engineering
Operations Management
Heuristics and Algorithm
Composite Materials
Batch Production

Selected Publications

  1. Selvam, P.T., R. Pugazhenthi, C. Dhanasekaran, M. Chandrasekaran and S. Sivaganesan, 2021. Experimental Investigation on the Frictional Wear Behaviour of TiAlN Coated Brake Pads. Mater. Today: Proc., 37: 2419-2426.
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  2. Scaria, C.T. and R. Pugazhenthi, 2021. Effect of process parameter on synthesizing of TiC reinforced Al7075 aluminium alloy nano composites. Mater. Today: Proc., 37: 1978-1981.
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  3. Ramasamy, M., A.A. Daniel, M. Nithya, S.S. Kumar and R. Pugazhenthi, 2021. Characterization of natural-synthetic fiber reinforced epoxy based composite-hybridization of kenaf fiber and kevlar fiber. Mater. Today: Proc., 37: 1699-1705.
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  4. Pugazhenthi, R., G. Anbuchezhiyan, R.K. Muthuraman, M. Vignesh and A. Ponshanmugakumar, 2021. Optimization of fatigue life and fractography analysis of knuckle joint. Mater. Today: Proc., 46: 4344-4348.
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  5. Pugazhenthi, R., D. Sreeram, C.T. Scaria, G. Anbuchezhiyan and P. Nanthakumar, 2021. Effect of process parameters on machining of Al -TiC metal matrix composites using RSM. Mater. Today: Proc., 46: 3282-3287.
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  6. Jayakanth, J.J., V.K. Mamidi, R. Pugazhenthi, G. Anbuchezhiyan and A. Ponshanmugakumar, 2021. An investigation on wear properties of SiC/WC strengthened aluminium alloy hybrid composites. Mater. Today: Proc., 46: 3542-3545.
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  7. Gnanavel, C., R. Saravanan, T. Gopalakrishnan and R. Pugazhenthi, 2021. Fracture toughness reinforcement by CNT on G/E/C hybrid composite. Mater. Today: Proc., 37: 1046-1050.
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  8. Girimurugan, R., R. Pugazhenthi, T. Suresh, P. Maheskumar and M. Vairavel, 2021. Prediction of mechanical properties of hybrid aluminium composites. Mater. Today: Proc., 39: 712-716.
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  9. Girimurugan, R., R. Pugazhenthi, P. Maheskumar, T. Suresh and M. Vairavel, 2021. Impact and hardness behaviour of epoxy resin matrix composites reinforced with banana fiber/camellia sinensis particles. Mater. Today: Proc., 39: 373-377.
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  10. Chakravarthy, P.R.K., T. Ilango and R. Pugazhenthi, 2021. Mechanical properties of concrete with foundry sand andcoconut shell as partial replacement for coarse and fine aggregate. Mater. Today: Proc., Vol. 2021. 10.1016/j.matpr.2021.09.292.
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  11. Pugazhenthi, R., 2020. Study the mechanical characteristics of ultra high molecular weight polyethylene 3D scaffold models. Mater. Today: Proc., 22: 1010-1013.
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  12. Mamidi, V.K., R. Pugazhenthi, G. Manikandan and M.V. Kumar, 2020. Mechanical and microscopic study on Tinospora cordifolia and Tectona grandis composites. Mater. Today: Proc., 22: 772-775.
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  13. Shree, S.V., R. Pugazhenthi and M. Chandrasekaran, 2017. Statistical investigation of the performance evaluation in manufacturing environment. Int. J. Pure Applied Math., 114: 225-235.
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  14. Pugazhenthi, R., R. Saravanan, M. Chandrasekaran, R.F. Issac and P. Vivek, 2017. Optimization of wheel axle plant manufacturing environment by simulation. ARPN J. Eng. Applied Sci., 12: 2412-2418.
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  15. Jino, R., R. Pugazhenthi, K.G. Ashok, T. Ilango and P.R. Chakravarthy, 2017. Enhancement of mechanical properties of luffa fiber/epoxy composite using B4C. J. Adv. Microsc. Res., 12: 89-91.
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  16. Vivek, P., R. Saravanan, M. Chandrasekaran and R. Pugazhenthi, 2016. Minimizing idle time of critical machine in permutation flow environment with weighted scheduling. ARPN J. Eng. Applied Sci., 11: 3473-3483.
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  17. Saravanan, R., R. Pugazhenthi, P. Vivek and M. Santhanam, 2016. Design and simulation of a two-wheeled inverted pendulum-a balanced, easy moving vehicle for the material handling. Am. Eurasian J. Sci. Res., 11: 189-198.
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  18. Roy, B.D., R. Saravanan, R. Pugazhenthi and M. Chandrasekaran, 2016. Experimental investigation of turbocharger mapped by datalogger in I.C. engine. ARPN J. Eng. Applied Sci., 11: 4587-4595.

  19. Roy, B.D., R. Saravanan, R. Pugazhenthi and M. Chandrasekaran, 2016. Experimental investigation of turbocharger mapped by data-logger in IC engine. ARPN J. Eng. Applied Sci., 11: 4587-4595.
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  20. Pugazhenthi, R., M.A. Xavior and R. Saravanan, 2016. A case study on effect of grouping technique in a multi-stage hybrid flow shop. Int. J. Comput. Sci. Math., 7: 42-53.
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  21. Pugazhenthi, R. and M.A. Xavior, 2016. Optimisation of idle time of a critical machine and material processing time of a flow shop. Int. J. Enterprise Network Manage., 7: 98-112.
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  22. Issac, R.F., R. Saravanan, R. Pugazhenthi and R. Raju, 2016. A heuristic for group scheduling the multi-stage hybrid flow shop problems. Bonfring Int. J. Ind. Eng. Manage. Sci., 6: 152-154.
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  23. Saravanan, R., R. Pugazhenthi and T. Gopalakrishnan, 2015. Experimental Investigation of EN-31 Steel surface grinding performance with Al2O3 and CuO Nano fluids. J. Adv. Microscopy Res., 10: 284-291.
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  24. Saravanan, R., M. Santhanam, S. Nadarajan and R. Pugazhenthi, 2015. Mechanical and surface morphological investigation on duplex ageing behaviour of Al (7075) Al-Zn-Mg-Cu alloy. J. Adv. Microscopy Res., 10: 296-302.
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  25. Pugazhenthi, R., M.A. Xavior and R. Saravanan, 2015. A new heuristic for modern manufacturing environment scheduling problems. J. Adv. Mech. Eng. Sci., 1: 1-11.

  26. Pugazhenthi, R. and M.A. Xavior, 2015. A heuristic to minimise the idle time of the rental/critical machine in a flowshop. Int. J. Ser. Operations Manage., 22: 395-412.
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  27. Pugazhenthi, R. and M.A. Xavior, 2014. Minimizing material processing time and idle time of a critical machine in a flow shop. Adv. Mater. Res., 984: 106-110.
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  28. Pugazhenthi, R. and M.A. Xavior, 2014. Computation of makespan using genetic algorithm in a flowshop. Am. Eur. J. Sci. Res., 9: 105-113.
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  29. Pugazhenthi, R. and M.A. Xavior, 2014. A survey on occurrence of critical machines in a manufacturing environment. Procedia Eng., 97: 105-114.
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  30. Pugazhenthi, R. and M.A. Xavior, 2014. A survey on occurrence of critical machines in a manufacturing environment. Procedia Eng., 97: 105-114. Procedia Eng., 97: 105-114.
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  31. Pugazhenthi, R. and M.A. Xavior, 2014. A genetic algorithm applied heuristic to minimize the makespan in a flow shop. Procedia Eng., 97: 1735-1744.
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  32. Pugazhenthi, R. and M.A. Xavior, 2014. A characteristic study of exponential distribution technique in a flowshop using taillard benchmark problems. Proc. Pak. Acad. Sci., 51: 187-192.
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  33. Pugazhenthi, R. and M.A. Xavior, 2013. Optimization of permutation flow shop with multi-objective criteria. Int. J. Appl. Eng. Res., 8: 1807-1813.

  34. Pugazhenthi, R and M.A. Xavior, 2012. A heuristic towards minimising waiting time of critical jobs in a flow shop. Emerging Trends Sci. Eng. Technol., 2: 241-249.