P
Paulraj Sathiya
Researcher at National Institute of Technology, Tiruchirappalli
Publications - 113
Citations - 2182
Paulraj Sathiya is an academic researcher from National Institute of Technology, Tiruchirappalli. The author has contributed to research in topics: Welding & Friction welding. The author has an hindex of 23, co-authored 107 publications receiving 1678 citations. Previous affiliations of Paulraj Sathiya include J. J. College of Engineering and Technology.
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Effect of friction welding parameters on mechanical and metallurgical properties of ferritic stainless steel
TL;DR: In this article, a continuous drive friction welding machine was used to join cylindrical specimens of ferritic stainless steel of similar composition and shape (equal diameter and length) in order to understand the role of parameters on the strength related aspects of friction processed joints.
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Optimization of laser welding process parameters for super austenitic stainless steel using artificial neural networks and genetic algorithm
TL;DR: In this article, the authors investigated the relationship between the laser welding input parameters like beam power, travel speed and focal position and the three responses DP, BW and TS in three different shielding gases (argon, helium and nitrogen).
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Optimization of friction welding parameters using evolutionary computational techniques
TL;DR: In this paper, a method to decide near optimal settings of the welding process parameters in friction welding of stainless steel (AISI 304) by using non conventional techniques and artificial neural network (ANN) was proposed.
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Methods and materials for additive manufacturing: A critical review on advancements and challenges
TL;DR: A critical review of the state of art materials in the categories such as metals and alloys, polymers, ceramics, and biomaterials are presented along with their applications, benefits, and the problems associated with the formation of microstructures, mechanical properties, and controlling process parameters.
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Simulation and parameter optimization of flux cored arc welding using artificial neural network and particle swarm optimization algorithm
TL;DR: This paper addresses the simulation of weld bead geometry in FCAW process using artificial neural networks (ANN) and optimization of process parameters using particle swarm optimization (PSO) algorithm.