Case-based reasoning (CBR) model for hard machining process

被引：0
|
作者：
Anthony M. Xavior
Margret S. Anouncia
机构：
[1] VIT University,School of Mechanical and Building Sciences
[2] VIT University,School of Computing Sciences
来源：
The International Journal of Advanced Manufacturing Technology | 2012年 / 61卷
关键词：
Hard machining; Surface roughness; Tool life; Case-based reasoning;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this research paper, hard machining of two materials viz. AISI 52100 (bearing steel) and AISI D2 (tool steel) at a hardness of 55 HRC is addressed. Taguchi’s technique is used for the design of experiments. Eight different parameters are considered for the experimentation in order to perform comprehensive investigations on hard machining process. Case-based reasoning (CBR) model is developed for predicting the machining performance and its capability is evaluated by conducting validation experiments. The root mean squared error, mean absolute percentage error, and the correlation coefficient between the actual and the model-predicted values of surface roughness and tool life are evaluated to confirm the validity of the CBR model.
引用
收藏
页码：1269 / 1275
页数：6
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