A Six Sigma Methodology for Reducing Casting Defects in Foundry Operations
Six Sigma is an organized and systematic method for strategic process improvement that relies upon statistical & scientific methods to make reductions in defect rates. A case study is carried out in casting industry, where Six Sigma tools i.e. Taguchi approach for the defect reduction is implemented. A set of process parameters that contribute various casting defects, are identified and analyzed. An orthogonal array, the signal to-noise (S/N) ratio and analysis of variance (ANOVA) criterion are used to analyze the effect of selected process parameters and their levels on the casting defects of the cast iron (grade-25) Differential Housing Cover castings. Optimized parameters are considered to build the empirical model for the differential housing castings. The experimental studies are carried out to validate the developed empirical expressions for casting defects with Multi Variable Linear Regression (MVLR) and Artificial Neural Network (ANN) methods.
||Six Sigma, Casting Defects, Regression Model, ANOVA
International Journal of Technology, Knowledge and Society, Volume 8, Issue 4, pp.163-176.
Article: Print (Spiral Bound).
Article: Electronic (PDF File; 926.308KB).
Associate Professor, Mechanical Engineering Department, PEC University of Technology, India
The author is working as an Associate Professor in the Department of
Mechanical Engineering, PEC University of Technology (formerly Punjab
Engineering College), Chandigarh, India. He has more than 25 years of experience working in PEC University of Technology as well as at National
Teachers’ Training Institute, Chandigarh, India. He has published many research papers in international and national journals of repute and in the
proceedings of the conferences. He has organised many training programmes
both in technical areas as well as on design and preparation of audio–visual
aids for effective instructions. He is also a reviewer of national and
international journals. He guides research at postgraduate and doctoral level.
Associate Professor, Mechanical Engineering Department, Indo-Global College of Engineering, India
Sushil Kumar is working as an Associate Professor in the
Department of Mechanical Engineering, Indoglobal College of Engineering,
Mohali, Punjab, India. He holds MTech from the Punjab University,
Chandigarh, India and MBA from the Indira Gandhi National Open University,
Delhi, India. He has published more than seven research papers in international
and national journals of repute and in the proceedings of the national and
international conferences. He has given so many expert lectures on different
topics in the field of quality, defense sector and mechanical engineering. He
has also worked for Indian Defense Service for 20 years as an Mechanical Engineer
and served in different field.
Assistant Professor, Mechanical Engineering Department, PEC University of Technology, India
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