Journal Press India^®

Author Details ( * ) denotes Corresponding author

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.

Keywords

Coordinate Measuring Machine (CMM); Measurement; Inspection; Genetic Algorithm (GA)

1. Töpfer, Susanne, G Linß, U Nehse. Inspection Strategies and Inspection Planning for Dimensional Measurements of Micro-and Nano-structured Components using Cascaded Sensor Systems. In Proc. of Joint Int. IMEKO TC1+ TC7 Symposium, Ilmenau, Germany, 2005.


2. Al-Ahmari, AMAJ Aalam. Optimizing parameters of freeform surface reconstruction using CMM. Measurement, 64, 2015, 17-28.


3. HY Lai, WY Jywe, CH Liu. Precision modeling of form errors for cylindricity evaluation using genetic algorithms. Precision Engineering, 24(4), 2000, 310-319.


4. G Mansour. A developed algorithm for simulation of blades to reduce the measurement points and time on coordinate measuring machine (CMM). Measurement, 54, 2014, 51-57.


5. M Poniatowska. Deviation model based method of planning accuracy inspection of free-form surfaces using CMMs. Measurement, 45(5), 2012, 927-937.


6. L Qu, G Xu, G Wang. Optimization of the measuring path on a coordinate measuring machine using genetic algorithms. Measurement, 23(3), 1998, 159-170.


7. X Wen, A Song. An improved genetic algorithm for planar and spatial straightness error evaluation. International Journal of Machine Tools and Manufacture, 43(11), 2003, 1157-1162.


8. F. Cus, J Balic. Optimization of cutting process by GA approach. Robotics and Computer-Integrated Manufacturing, 19(1), 2003, 113-121.