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出 处:《机械工程与技术》2024年第6期545-555,共11页Mechanical Engineering and Technology
摘 要:针对三坐标测量仪在测量轴承同轴度时的误差评定问题,研究了三坐标测量及误差评定原理,建立了轴承同轴度误差评定数学模型,进行了轴承内外圈同轴度测量实验,并采用改进后的粒子群优化算法进行误差评定。研究表明,采用优化后的不同维度测量点的布局方式,更全面地反映了轴承的表面特征。通过对粒子群算法中惯性权重和学习因子的数值优化提高了求解轴承同轴度误差搜索效率和精度。In view of the problem of large error in measuring bearing coaxiality by three-dimensional coordinate measuring machine, by studying the measurement method and calculation principle of three-dimensional coordinate measuring machine, the reasons for the large measurement error caused by three-dimensional coordinate measuring machine were analyzed. Based on this, a new mathematical model of bearing coaxiality error is established. In order to solve the problem of measurement error of bearing parts by using a three-dimensional coordinate measuring instrument, an improved particle swarm optimization algorithm was used to evaluate the model. The results show that the optimized layout of measuring points with different dimensions can reflect the bearing surface characteristics more comprehensively. Through the numerical optimization of inertia weight and learning factor in particle swarm optimization, the efficiency and accuracy of searching bearing coaxiality error are improved.
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