ACO-Based Multiple Geometric Elements Measure Path Planning for CMM

摘要：

Effective path planning is very important to improve the measure efficiency and security of Coordinate Measuring Machine (CMM). In order to apply ACO to measure path planning, some key technologies such as establishment of relationship matrix and search of valid path were solved through thorough researches to CMM path planning and Ant Colony Optimization (ACO). Based on this, an ACO-Based multiple geometric elements measure path planning for CMM, which is more suitable for digitalization of parts with complex construction, was presented. At last, the measure path planning of supercharger impeller was implemented with this approach. These two examples demonstrate that the path planning algorithm is efficient, secure, and robust.

关键词： reverse engineering path planning ant colony optimization(ACO) coordinate measuring machine(CMM) optimization

作者: Xiaogang Ji Nan Li

作者单位: School of Mechanical Engineering Jiangnan University Wuxi, Jiangsu ichool of Mechanical Engineering Jiangnan University Wuxi, Jiangsu

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 539-544

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）