A geometric algorithm for selecting optimal set of cutters for multi-part milling

Zhiyang Yao, Satyandra K. Gupta, Dana S. Nau
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引用次数: 20

Abstract

For the manufacture of milled parts, it is well known that the size of the cutter significantly affects the machining time. However, for small-batch manufacturing, the time spent on loading tools into the tool magazine and establishing z-length compensation values is just as important. If we can select a set of milling tools that will produce good machining time on more than one type of parts, then several unnecessary machine-tool reconfiguration operations can be eliminated. This paper describes a geometric algorithm for finding an optimal set of cutters for machining a set of 2½D parts. In selecting milling cutters we consider both the tool loading time and the machining time and generate solutions that allow us to minimize the total machining time. Our problem formulation addresses the general problem of how to cover a target region to be milled with a cylindrical cutter without intersecting with the obstruction region; this definition allows us to handle both open and closed edges in the target region. Our algorithm improves upon previous work in the tool selection area in following ways: (1) in selecting cutters, it accounts for the tool loading time, and (2) it can simultaneously consider multiple different parts and select the optimal set of cutters to minimize the total manufacturing time.
多零件铣削优选刀具组合的几何算法
对于铣削零件的制造,众所周知,刀具的尺寸对加工时间有很大的影响。然而,对于小批量制造,将刀具装入刀具库和建立z长度补偿值所花费的时间同样重要。如果我们能够选择一套铣刀,在多种类型的零件上产生良好的加工时间,那么就可以消除几次不必要的机床重新配置操作。本文描述了一种用于加工一组2½D零件的最佳刀具组的几何算法。在选择铣刀时,我们考虑刀具加载时间和加工时间,并生成解决方案,使我们能够最大限度地减少总加工时间。我们的问题公式解决了如何覆盖要用圆柱刀具铣削的目标区域而不与阻碍区域相交的一般问题;这个定义允许我们处理目标区域中的开边和闭边。该算法在刀具选择方面有以下几个方面的改进:(1)在刀具选择方面考虑了刀具加载时间;(2)可以同时考虑多个不同的零件,选择最优的刀具组合,使总制造时间最小化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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