Recognizing generalized pockets for optimizing machining time in process planningPart 1
Recognizing generalized pockets for optimizing machining time in process planningPart 1
复制标题
DOI：
10.1080/00207540110054867
复制
发表时间：
2001-01
影响因子：
9.2
通讯作者：
Zhixin Yang;Ajay Joneja;Shaoming Zhu
中科院分区：
文献类型：
--
作者：
Zhixin Yang;Ajay Joneja;Shaoming Zhu
在这两部分的文件中，一个新的方法特征识别（FR）和加工规划的描述。大多数早期的FR工作的目的是通过提取简单的形状特征来促进加工规划。我们的方法偏离了早期的策略，试图识别相对复杂的形状特征，这些特征不仅是可加工的，而且还允许智能加工规划以减少总加工时间。这种新方法有两个优点：允许复杂形状的特征导致计算优势，简化识别;此外，能够为复杂型腔生成接近最佳的加工计划，从而减少零件的总加工时间。本文的第一部分集中在加工特征提取过程的细节。算法，并提供实例。该识别系统已成功测试了NIST零件库中的70多个零件，包括来自研究和工业的大多数基准零件。本文的第二部分将描述多刀具铣削规划技术。结果将证明该系统的可行性。
In this two-part paper, a new methodology for feature recognition (FR) and machining planning is described. Most of the earlier FR work was aimed at facilitation of machining planning by extraction of simple shaped features. Our method deviates from earlier strategies, attempting to recognize relatively complex shaped features that are not only machinable, but also allow smart machining planning to reduce total machining time. This new approach has two advantages: allowing complex-shaped features leads to computational advantages, simplifying the recognition; also, the ability to generate near-optimal machining plans for complex pockets results in reduced total machining time for parts. The first part of this paper concentrates on the details of the machining feature extraction procedures. The algorithms are presented, and examples provided. The recognition system has been tested successfully for over 70 parts from the NIST part repository, including most benchmark parts from research and industry. The second part of the paper will describe a multiple-tool milling planning technique. Results will be presented to prove the viability of this system.