S
Surjya K. Pal
Researcher at Indian Institute of Technology Kharagpur
Publications - 215
Citations - 6250
Surjya K. Pal is an academic researcher from Indian Institute of Technology Kharagpur. The author has contributed to research in topics: Welding & Friction stir welding. The author has an hindex of 38, co-authored 209 publications receiving 4550 citations. Previous affiliations of Surjya K. Pal include University of Sheffield & Indian Institutes of Technology.
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Modeling of electrical discharge machining process using back propagation neural network and multi-objective optimization using non-dominating sorting genetic algorithm-II
TL;DR: This study attempts to model and optimize the complex electrical discharge machining process using soft computing techniques, and a pareto-optimal set has been predicted in this work.
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Application of digital image processing in tool condition monitoring: A review
TL;DR: A review of development of digital image processing techniques in tool condition monitoring is discussed, a conclusion is drawn about required systematic research in this field.
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Thermal reduction of graphene oxide: How temperature influences purity
TL;DR: In this paper, the authors investigated the onset temperature where reduction in terms of exfoliation takes place, which is determined to be 325 °C at standard atmospheric pressure, and the study leads to achieving highest content with a minimum defect in the graphene lattice at the optimum temperature.
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Artificial neural network modeling of weld joint strength prediction of a pulsed metal inert gas welding process using arc signals
TL;DR: In this article, a multilayer neural network model has been developed to predict the ultimate tensile stress (UTS) of welded plates in pulsed metal inert gas welding (PMIGW).
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Flank wear prediction in drilling using back propagation neural network and radial basis function network
TL;DR: It has been observed that inclusion of vibration signal along with thrust force and torque leads to better prediction of drill wear.