文章基本信息

标题：Mathematical modelling and optimization of surface quality and productivity in turning process of AISI 12L14 free-cutting Steel
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作者：Fathallah, B. ; Saidi, R. ; Dakhli, C. 等
期刊名称：International Journal of Industrial Engineering Computations
印刷版ISSN：1923-2926
电子版ISSN：1923-2934
出版年度：2019
卷号：10
期号：4
页码：557-576
DOI：10.5267/j.ijiec.2019.3.001
语种：English
出版社：Growing Science Publishing Company
摘要：In this study, several series of experiments on turning process of AISI 12L14 free cutting steel characterized by its self-lubrication and the high percentage of lead in its composition were performed to rate the influence of cutting conditions (Vc, f and ap) on the machining performance such as surface roughness, cutting force, cutting power and material removal rate. A computer generated optimal design of experiment based on the I-optimality criteria along with analysis of variance was created to study the characterizations in turning of this steel, and desirability function was utilized for the optimization. The global optimization, combined high surface quality and productivity with low cutting power consumption, gave 12 optimal setting points provided high desirability values. The obtained correlation for surface roughness, cutting force, material removal rate and cutting power were 99.4%, 95.5%, 99.7% and 94.3%, respectively.
关键词：AISI 12L14; Surface roughness; Cutting force; Optimization; Modeling; RSM