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| Evaluation of Spatial Straightness Error Based on Differential Bee Colony Algorithm |
| DONG Zi-yan,XU Xu-song,LI Meng-yuan,TANG Li-yuan |
| College of Mechanical Engineering, Jiangsu University of Technology, Changzhou, Jiangsu 213001, China |
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Abstract A differential bee colony algorithm was proposed to evaluate spatial straightness error. Firstly, based on the geometrical product specification and verification(GPS)tolerance standard, the mathematical model of spatial straightness error evaluation conforming to the minimum region is obtained by least square fitting calculation. Secondly, the scaling factor of the differential evolution algorithm was improved, and the improved differential evolution algorithm and artificial bee colony algorithm were mixed and iteratively optimized, through the test function simulation, the differential bee colony algorithm had certain advantages in calculation accuracy and convergence speed. Finally, two evaluation cases are studied and compared. the results show that compared with particle swarm optimization algorithm, hybrid teaching and learning algorithm, least square algorithm and fish swarm hybrid optimization algorithm, the calculation accuracy of spatial straightness evaluation is improved by 83.9%, 54.5% and 54.6%, respectively. compared with differential evolution algorithm and artificial bee colony algorithm, the convergence speed is improved obviously.
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Received: 21 July 2022
Published: 17 July 2023
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2023, Vol. 44 
