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K. S. Prasad, C. S. Rao and D. N. Rao, “Prediction of Weld Quality in Plasma Arc Welding Using Statistical Approach,” International Journal of Science and Technology in Production and Manufacturing Engineering, Vol. 3, No. 4, 2010, pp. 1-7.

has been cited by the following article:

• TITLE: Application of Hooke & Jeeves Algorithm in Optimizing Fusion Zone Grain Size and Hardness of Pulsed Current Micro Plasma Arc Welded AISI 304L Sheets

  AUTHORS: Kondapalli Siva Prasad, Chalamalasetti Srinivasa Rao, Damera Nageswara Rao

  KEYWORDS: Pulsed Current Micro Plasma Arc Welding; AISI 304L; Grain Size; Hardness; Hooke & Jeeves Algorithm

  JOURNAL NAME: Journal of Minerals and Materials Characterization and Engineering, Vol.11 No.9, September 25, 2012

  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.