VK
VINOD KUMAR
Indian Institute of Technology Indore, Malaviya National Institute of Technology, Indian Institute of Technology Kanpur, National Institute of Foundry and Forge Technology, Kadvani Forge Limited
Employment
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Indian Institute of Technology Indore Assistant Professor2017 - Present
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Malaviya National Institute of Technology Assistant Professor2012 - 2017
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Kadvani Forge Limited Metallurgist2004 - 2005
Education
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Indian Institute of Technology Kanpur Ph.D.2007 - 2012
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Indian Institute of Technology Kanpur M. Tech.2005 - 2007
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National Institute of Foundry and Forge Technology B. Tech.2000 - 2004
Projects & Funding
Projects & funding information is unavailable.
Publications (71)
- Surface oxidation behavior of spark plasma sintered AlCrCuFeMnWx high entropy alloys at an elevated isothermal temperature Save
- Prediction the effect of ta on the mechanical behaviour and experimental validation of novel six component Fe-co-Ni-Cr-V-ta eutectic high entropy alloys Save
- XPS study on passivation behavior of naturally formed oxide on AlFeCuCrMg1.5 high-entropy alloy Save
- Effect of Ni and Si alloying elements on the phase evolution, mechanical properties, tribological behaviour of Al–Cu alloys Save
- Effect of Si on Phase Equilibria, Mechanical Properties and Tribological Behaviour of Al-Cu Alloy Save
- Impact of heat treatment on spark plasma sintered magnesium-containing lightweight AlFeCuCrMg high entropy alloy Save
- Influence of Si and Mn on the Phase Formation, Crystallization Kinetics, and Enhanced Magnetic Properties of Mechanically Alloyed NiCoFe(SiMn)x High Entropy Amorphous Alloys Save
- Microstructure, Non-isothermal Crystallization Kinetics and Magnetic Behaviour Study of [FeCoNi100-x(SiMn)x] High Entropy Amorphous Alloys Synthesized by Mechanical Alloying Save
- Phase Evolution and Soft Magnetic Behavior of Mechanically Alloyed Fe–Co–Ni Medium Entropy Alloy at Different Disk Angular Velocity Save
- Prediction of nanoindentation creep behavior of tungsten-containing high entropy alloys using artificial neural network trained with Levenberg–Marquardt algorithm Save