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Application of Hooke & Jeeves Algorithm in Optimizing Fusion Zone Grain Size and Hardness of Pulsed Current Micro Plasma Arc Welded AISI 304L Sheets
Department of Mechanical Engineering, Anil Neerukonda Institute of Technology & Sciences, Visakhapatnam, INDIA
Associate Professor, Department of Mechanical Engineering , Andhra University, Visakhapatnam, INDIA
Vice Chancellor, Centurion University of Technology & Management, Odisha, INDIA
- 1 Department of Mechanical Engineering, Anil Neerukonda Institute of Technology & Sciences, Visakhapatnam, INDIA
- 2 Associate Professor, Department of Mechanical Engineering , Andhra University, Visakhapatnam, INDIA
- 3 Vice Chancellor, Centurion University of Technology & Management, Odisha, INDIA
Journal of Minerals and Materials Characterization and Engineering·Volume 11 (2012)·Pages 869–875·Published 25 September 2012·DOI10.4236/jmmce.2012.119081
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Abstract
AISI 304L is an austenitic Chromium-Nickel stainless steel offering the optimum combination of corrosion resistance, strength and ductility. These attributes make it a favorite for many mechanical components. The paper focuses on developing mathematical models to predict grain size and hardness of pulsed current micro plasma arc welded AISI 304L joints. Four factors, five level, central composite rotatable design matrix is used to optimize the number of experiments. The mathematical models have been developed by Response Surface Method (RSM) and its adequacy is checked by Analysis of Variance (ANOVA) technique. By using the developed mathematical models, grain size and hardness of the weld joints can be predicted with 99% confidence level. The developed mathematical models have been optimized using Hooke and Jeeves algorithm to minimize grain size and maximize the hardness.
KeywordsPulsed Current Micro Plasma Arc WeldingAISI 304LGrain SizeHardnessHooke &Jeeves Algorithm
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