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Journal for Manufacturing Science and Production

Editor-in-Chief: Reddy, Ramana G.

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Volume 12, Issue 3-4


Optimization of Fusion Zone Grain Size, Hardness and Ultimate Tensile Strength of Pulsed Current Micro Plasma Arc Welded Inconel 625 Sheets Using Genetic Algorithm

Siva Prasad Kondapalli / Srinivasa Rao Chalamalasetti
  • Department of Mechanical Engineering, AU College of Engineering, Andhra University, Visakhapatnam, India
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Nageswara Rao Damera
Published Online: 2012-12-15 | DOI: https://doi.org/10.1515/jmsp-2012-0011


Nickel alloys have gathered wide acceptance in the fabrication of components, which require high temperature resistance and corrosion resistance, such as metal bellows used in expansion joints in aircraft, aerospace and petroleum industry. In case of single pass welding of thinner sections of this alloy, Pulsed Current Micro Plasma Arc Welding (PCMPAW) was found beneficial due to its advantages over the conventional continuous current process. The quality of welded joint depends on the grain size, hardness and ultimate tensile strength, which have to be properly controlled and optimized to ensure better economy and desirable mechanical characteristics of the weld. This paper highlights the development of empirical mathematical equations using multiple regression analysis, correlating various process parameters to grain size, grain size and ultimate tensile strength in PCMPAW of Inconel 625 sheets. The experiments were conducted based on a five factor, five level central composite rotatable design matrix. A Genetic Algorithm (GA) was developed to optimize the process parameters for achieving the desired grain size, hardness and ultimate tensile strength.

Keywords: Inconel 625; pulsed current; Micro Plasma Arc Welding; Genetic Algorithm

About the article

Department of Mechanical Engineering, Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, India

Received: 2012-06-21

Accepted: 2012-10-23

Published Online: 2012-12-15

Published in Print: 2012-12-14

Citation Information: Journal for Manufacturing Science & Production, Volume 12, Issue 3-4, Pages 181–189, ISSN (Online) 2191-0375, ISSN (Print) 2191-4184, DOI: https://doi.org/10.1515/jmsp-2012-0011.

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©[2012] by Walter de Gruyter Berlin Boston.Get Permission

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