Predicting total machining performance in finish turning using integrated fuzzy-set models of the machinability parameters
Predicting total machining performance in finish turning using integrated fuzzy-set models of the machinability parameters
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DOI：
10.1080/00207549408956974
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发表时间：
1994-04
影响因子：
9.2
通讯作者：
X. Fang;I. Jawahir
中科院分区：
文献类型：
--
作者：
X. Fang;I. Jawahir
摘要精车加工中涉及到众多相互作用的加工变量，因此很难对包括表面光洁度、刀具磨损率、尺寸精度、切削功率和断屑性在内的总体加工性能（TMP）进行评估。本文介绍了一种新的方法的发展，以评估每个方面的TMP精车钢如下。首先，加工参考数据库的建立，从代表性的加工实验，提供一个初步的定量标准。其次，在扩展实验的基础上，结合目前对TMP主要影响因素的认识，提出了一个知识库。然后，引入模糊集方法来量化这些因素的影响。最后，一系列的模糊集模型的开发，以定量评估的TMP为任何给定的一组输入条件，包括工作材料的属性，刀具的几何形状，断屑槽类型和切削条件。
Abstract Due to the numerous interacting machining variables involved in finish turning, it is extremely difficult to assess the total machining performance (TMP) encompassing surface finish, tool-wear rate, dimensional accuracy, cutting power and chip breakability. This paper presents the development of a new methodology for assessing each aspect of the TMP in finish turning of steels as follows. First, a machining reference database is established from the representative machining experiments to provide a primary quantitative standard. Second, a knowledge poo) is developed based on the extended experiments and the present knowledge of the major influencing factors on the TMP. Then, a fuzzy-set method is introduced to quantify the effects of these factors. Finally, a series of fuzzy-set models are developed to give quantitative assessments of the TMP for any given set of input conditions, including work material properties, tool geometries, chip-breaker types and cutting conditions.