B. Senthilkumar
Kumaraguru College of Technology
5 Papers
13 Citations
B. Senthilkumar is an academic researcher from Kumaraguru College of Technology. The author has contributed to research in topics: Welding & Flux-cored arc welding. The author has an hindex of 3, co-authored 4 publications.
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Papers
Optimization of flux-cored arc welding process parameters by using genetic algorithm
TL;DR: In this article, the effect of flux-cored arc welding (FCAW) process parameters on the quality of the super duplex stainless steel (SDSS) claddings can be studied using Taguchi L9 design of experiments.
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Sensitivity Analysis of Flux Cored arc Welding Process Variables in Super Duplex Stainless Steel Claddings
B. Senthilkumar,T. Kannan +1 more
TL;DR: In this article, the influence exerted by process variables on the responses of super duplex stainless steel claddings were modeled using the response surface models using the regression techniques using the data collected from central composite rotatable design of experiments.
14
Experimental investigation and optimization of friction stir welding process -a review
K.P. Yuvaraj,B. Senthilkumar +1 more
TL;DR: In this paper, a comprehensive review of application of tool geometry, different process setups computing techniques, design of experiment (DOE) and evolutionary algorithms used to obtain the good weld joint with desired weld quality is presented.
2
A Novel Multilevel DC-DC Flyback converter fed H Bridge Inverter
Vijayalakshmi Subramanian,Marimuthu Marikannu,B. Senthilkumar,J. Reka,P. Rathi Devi,Venugopal Ramadoss +5 more
TL;DR: In this paper , the authors proposed a DC-to-DC flyback boost converter integrated with a multi-level converter for inverter applications, which not only reduces the switch count but also reduces the voltage stress, and total harmonic distortion.
1
Effect of flux cored arc welding process parameters on bead geometry in super duplex stainless steel claddings
B. Senthilkumar,T. Kannan +1 more
TL;DR: In this article, the welding process is represented in the form of mathematical models developed using response surface methodology and the models were then used to predict the weld bead characteristics with reasonable accuracy.