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Cylindricity error evaluation based on seagull algorithm
Published:2023-05-25 author:WU Tian-hao, ZHAO Ze-xiang, WANG Shuai-fei, et al Browse: 1237 Check PDF documents
Cylindricity error evaluation based on 
seagull algorithm


WU Tian-hao, ZHAO Ze-xiang, WANG Shuai-fei, SHI Xin-chao

(School of Mechatronics Engineering, Zhongyuan University of 
Technology, Zhengzhou 451191, China)


Abstract: The geometric accuracy of cylindrical parts directly affects the overall performance of mechanical equipment. Cylindricity error is one of the geometric errors of cylindrical parts.It is very important to measure and evaluate cylindricity error accurately.Aiming at the problem of whether the minimum zone cylindricity error evaluation can reach the global optimum, a new metaheuristic seagull optimization algorithm (SOA) was proposed for the minimum zone cylindricity error evaluation. Firstly, the extraction of cylindrical contour elements was described, and a cylindricity error evaluation model based on the minimum zone method was established. Then, the principle of seagulls position update in the SOA, the optimization criterion of the algorithm and the algorithm flow were introduced. Finally, the circumference profile data of six cylindrical sample parts were extracted from the Talyrond 585LT cylindricity measuring instrument, and the minimum zone cylindricity error was evaluated by SOA, by comparing the optimization results of the SOA for different population sizes, the optimal population size was found, meanwhile the results were compared with the genetic algorithm (GA). The results indicate that the choice of population size has a large impact on the optimization results of the seagull algorithm, which achieves the optimal solution at a population size of 30, its accuracy is higher than that of the genetic algorithm, and its running time increases with the increase in population size. The optimization process of the seagull algorithm is stable and has good adaptability in the evaluation of the minimum zone cylindricity error.

Key words:  cylindricity measuring instrument;seagull optimization algorithm(SOA); choice of population size; principle of location updating; optimization criteria of algorithm; minimum zone cylindricity error(MZC); minimum zone method
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