K
Kamal Jangra
Researcher at YMCA University of Science and Technology
Publications - 7
Citations - 319
Kamal Jangra is an academic researcher from YMCA University of Science and Technology. The author has contributed to research in topics: Electrical discharge machining & Machining. The author has an hindex of 7, co-authored 7 publications receiving 290 citations.
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Simultaneous optimization of material removal rate and surface roughness for WEDM of WC-Co composite using grey relational analysis along with Taguchi method
TL;DR: In this article, grey relational analysis (GRA) is employed along with Taguchi method to optimize material removal rate (MRR) and surface roughness (SR) during intricate machining of a carbide block.
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Optimization of multi machining characteristics in WEDM of WC-5.3%Co composite using integrated approach of Taguchi, GRA and entropy method
TL;DR: In this paper, grey relational analysis (GRA) coupled with entropy measurement method has been employed to optimize the four machining characteristics simultaneously, grey relational grade has been computed as a performance index for predicting the optimal parameters setting for multi-machining characteristics.
Journal Article
Optimization of multiple-machining characteristics in wire electrical discharge machining of punching die using Grey relational analysis
TL;DR: In this article, the authors presented an optimization of performance characteristics in wire electrical discharge machining (WEDM) using taguchi method and Grey relational analysis during rough cutting operation.
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Digraph and matrix method to evaluate the machinability of tungsten carbide composite with wire EDM
TL;DR: In this paper, a graph theoretic approach is proposed to evaluate the machinability of tungsten carbide composite, and the effect of several factors and their subfactors are analyzed by developing a mathematical model using digraph and matrix method.
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Digraph and matrix method for the performance evaluation of carbide compacting die manufactured by wire EDM
TL;DR: In this paper, the authors present a methodology to evaluate the performance of carbide compacting die using graph theoretic approach (GTA) and their interactions are analyzed by developing a mathematical model using digraph and matrix method.