Predictive modeling and multi-response optimization of technological parameters in turning of Polyoxymethylene polymer (POM C) using RSM and desirability function

详细信息    查看全文

• 作者：Amel Chabbi^a ; ^{amel_chabbi@yahoo.fr} ; Mohamed Athmane Yallese^a ; Ikhlas Meddour^a ; Mourad Nouioua^a ; Tarek Mabrouki^b ; Franç ; ois Girardin^c
• 关键词：Polymer POMC ; Surface roughness ; Cutting forces ; MRR ; Cutting power ; Modeling ; Optimization
• 刊名：Measurement
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：95
• 期：Complete
• 页码：99-115
• 全文大小：5671 K
• 卷排序：95

文摘

We use the RSM to analyze the effect of machining parameters on Ra, Fz, Pc and MRR. The results revealed that Ra is strongly influenced by f followed by ap. Regarding Fz, it is found that ap and f are the most significant terms. The ANOVA results were confirmed by the Pareto chart and the 3D response surface. RSM allowed the optimization of cutting conditions for minimal Ra and maximal MRR.