Enhancing The Speed of Inspection in Coordinate Measuring Machine Using Genetic Algorithm

A. Sinha, A. Anand
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Abstract

Due to high accuracy and precision, coordinate measuring machine (CMM) has been an important tool of inspection in quality control for several years. Effectiveness of inspection greatly depends on measurement cycle time. Lesser the inspection time taken by CMM to measure a given part better will be the performance of inspection process. Therefore, for efficient performance of inspection process, it is critical to reduce measurement time. Goal of our research is to improve measurement accuracy and reduce the cycle time of inspection. There are various methods to generate most suitable measurement path which will result in minimum inspection time. These methods are based on different algorithms to reduce measurement cycle time for CMM. Genetic algorithm, which is one of the optimization techniques can be used to find the minimum cycle path and hence can be used to increase the speed of inspection.
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利用遗传算法提高三坐标测量机的检测速度
近年来,三坐标测量机(CMM)由于精度高,已成为质量控制中的重要检测工具。检测的有效性在很大程度上取决于测量周期时间。三坐标测量机测量给定零件所需的时间越短,检测过程的性能越好。因此,为了有效地进行检测过程,减少测量时间至关重要。我们的研究目标是提高测量精度,缩短检测周期。有多种方法可以产生最合适的测量路径,从而使检测时间最短。这些方法基于不同的算法来缩短三坐标测量机的测量周期。遗传算法是一种寻优技术,可用于寻找最小循环路径,从而提高检测速度。
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