Using catalog data mining in support of determining micro end-milling conditions
Using catalog data mining in support of determining micro end-milling conditions
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DOI：
10.1109/isfa.2016.7790146
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发表时间：
2016-08
期刊：
影响因子：
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通讯作者：
Hiroyuki Kodama;K. Okuda;Takuya Tsujimoto
中科院分区：
文献类型：
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作者：
Hiroyuki Kodama;K. Okuda;Takuya Tsujimoto
越来越多的要求被放置在微制造使用端米尔斯具有高操作自由度。特别地，当立铣刀的小直径为1.0mm或更小时，由于切削部分的特征尺寸效应和弯曲的影响，工具的处理变得困难。此外，工程师很难推导出可以作为小直径端铣早期指标的切削条件。为了解决这一问题，在这项研究中，工件的材料特性和刀具形状参数的基础上，建立了一个系统，可以作出即时决定的刀具形状和切削条件使用，并评估其实用性。该系统是应用数据挖掘技术，结合非层次聚类和层次聚类方法，对刀具目录数据进行聚类分析而开发的。分析的结果发现，工件材料的特性在决定立铣刀小径的切削条件方面具有重要意义。此外，切削速度被发现有一个显着的影响，对工具的形状参数，而不同的加工方法（侧铣或开槽）没有显着的影响。
A growing number of requirements are being placed on micro fabrication using end mills with high operating degrees-of-freedom. In particular, when the minor diameter of the end mill is 1.0 mm or less, the handling of tools becomes difficult because of the influence of the characteristic size effect and bending of the cutting portion. Furthermore, it is hard for engineers to derive the cutting conditions that can serve as indexes in the early stage of end-milling with small minor diameters. To solve this problem, in this research, on a basis of workpiece material characteristics and tool shape parameters, a system that can make instantaneous decisions on the tool shape and cutting conditions to be used was built, and its usefulness was evaluated. This system was developed by applying data mining techniques together with non-hierarchical and hierarchical clustering methods on tool catalog data. The results of the analysis found that the characteristics of the workpiece material were significant in making decisions regarding the cutting conditions for the minor diameter of the end mill. Moreover, the cutting speed was found to have a significant effect on the tool shape parameters, whereas differences as to the processing method (side milling or slotting) did not have a significant effect.