摘要
目的以角接触球轴承为研究对象,对其内部非标准化的结构尺寸进行多目标优化设计,以提高角接触球轴承的工作性能并提供其个性化结构尺寸方案。方法通过以基本额定静载荷、基本额定动载荷和最小油膜厚度为目标构建多目标优化数学模型,采用改进后的NSGA-Ⅱ多目标遗传算法进行模型的求解;再利用熵权-TOPSIS评价方法对求解得到的Pareto解集进行评价排序,获得个性化最优方案;最后以7200AC轴承为例,对笔者提出的优化设计方法进行验证。结果该算例经过多目标优化设计后,基本额定静载荷与基本额定动载荷的最佳优化数值相较于标准值分别提高了38%和8.8%,同时最小油膜厚度也保持了良好的性能要求,以此丰富了该型号的角接触球轴承的内部结构尺寸方案。结论笔者提出的多目标优化方法具备可行性与多样性,丰富了角接触球轴承的内部结构尺寸家族,为满足不同工作条件下的轴承的个性化需求提供了可靠依据。
In this paper,in order to improve the performance of angular contact ball bearings and provide a personalized structure size scheme,a multi-objective optimization design was carried out for the internal non-standardized structure size of angular contact ball bearings.The multi-objective optimization design mathematical model was established with basic rated static load,basic rated dynamic load and minimum oil film thickness as the objectives,and used the improved NSGA-Ⅱmulti-objective genetic algorithm to solve this model.Then the Entropy-TOPSIS evaluation method was used to evaluate and sort the Pareto solution set to obtain the personalized optimal scheme.Finally,taking the 7200AC bearing as an example,verified the optimization design method.After multi-objective optimization design,the optimal value of the basic rated static load and the basic rated dynamic load increases by 38%and 8.8%respectively compared with the standard value,and the minimum oil film thickness also keeps good performance requirements,thus enriching the internal structure size scheme of this type of angular contact ball bearing.In conclusion,the multi-objective optimization method proposed in this paper has feasibility and diversity,and improves the internal structure design of angular contact ball bearings,so as to improve the performance of angular contact ball bearings under different working conditions.
作者
韩泽光
廖小萱
郝瑞琴
白晓天
HAN Zeguang;LIAO Xiaoxuan;HAO Ruiqin;BAI Xiaotian(School of Mechanical Engineering,Shenyang Jianzhu University,Shenyang,China,110168)
出处
《沈阳建筑大学学报(自然科学版)》
CAS
北大核心
2023年第4期738-745,共8页
Journal of Shenyang Jianzhu University:Natural Science
基金
国家自然科学基金项目(51909357)。