Multiobjective Optimization of Turning Cutting Parameters for J-Steel Material

• Published in: Advances in materials science and engineering Vol. 2016; no. 2016; pp. 1 - 8
• Main Authors: Al-Bahkali, Essam A., Aly, Mohamed F., Hamza, Karim, Abbas, Adel Taha
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 01.01.2016; Hindawi Limited; Wiley
• Subjects: Design of experiments; Design optimization; Mechanical engineering; Optimization techniques; Productivity; Steel
• ISSN: 1687-8434; 1687-8442
• DOI: 10.1155/2016/6429160

This paper presents a multiobjective optimization study of cutting parameters in turning operation for a heat-treated alloy steel material (J-Steel) with Vickers hardness in the range of HV 365–395 using uncoated, unlubricated Tungsten-Carbide tools. The primary aim is to identify proper settings of the cutting parameters (cutting speed, feed rate, and depth of cut) that lead to reasonable compromises between good surface quality and high material removal rate. Thorough exploration of the range of cutting parameters was conducted via a five-level full-factorial experimental matrix of samples and the Pareto trade-off frontier is identified. The trade-off among the objectives was observed to have a “knee” shape, in which certain settings for the cutting parameters can achieve both good surface quality and high material removal rate within certain limits. However, improving one of the objectives beyond these limits can only happen at the expense of a large compromise in the other objective. An alternative approach for identifying the trade-off frontier was also tested via multiobjective implementation of the Efficient Global Optimization (m-EGO) algorithm. The m-EGO algorithm was successful in identifying two points within the good range of the trade-off frontier with 36% fewer experimental samples.