文章基本信息

标题：Minimizing airtime by optimizing tool path in computer numerical control machine tools with application of A* and genetic algorithms
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作者：Naveen Senniappan Karuppusamy ; Bo-Yeong Kang
期刊名称：Advances in Mechanical Engineering
印刷版ISSN：1687-8140
电子版ISSN：1687-8140
出版年度：2017
卷号：9
期号：12
页码：1-9
DOI：10.1177/1687814017737448
语种：English
出版社：Sage Publications Ltd.
摘要：Research on tool path planning has been limited to minimize airtime by optimizing tool travel path in one machining plane without obstacles. To address this limitation, a method for tool path optimization that exploits A* and genetic algorithms to find the near-optimal safe cutting tool travel path between each drilling hole location by avoiding the nonmachinable areas is proposed. A series of experiments performed shows an average overall improvement of 38.8% over the cutting tool travel distance value obtained from traditional tool path method.
关键词：Tool path optimization; obstacle avoidance; A* algorithm; genetic algorithm; traveling salesman problem