国外文献 > 1.轴承 > 4. 设计与分析 > 算法与优化
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| 标 题： |
A Clearance Consistency-oriented Method for Small Batch Bearing Assembly
小批量轴承装配的清零一致性导向方法 |
| 作 者： |
Jun Lu
Jianyu Long
Lin Yang
Chuan Li
Yunwei Huang
Zhe Yang |
| 关键词： |
Bearing [轴承]
Clearance consistency [ 清空一致性]
Assembly [ 装配]
Genetic algorithm [ 遗传算法] |
| 出版年： |
2024 |
| 文集名： |
2024 IEEE International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC 2024)
2024年IEEE国际传感、诊断、预测与控制会议（SDPC 2024） |
| 会议名： |
2024 IEEE International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC 2024)
2024年IEEE国际传感、诊断、预测与控制会议（SDPC 2024） |
| 届 次： |
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| 摘 要： |
Radial clearance is a key quality parameter for deep groove ball bearings and cylindrical roller bearings. For highly reliable applications, users may order a small batch of bearings with high clearance consistency, which are typically assembled by using a much larger batch of components due to manufacturing errors which leads to extra costs for bearing manufacturers. Traditional combinatorial assembly planning methods focus on maximizing assembly rates, instead of reducing the cost of manufacturers regarding clearance consistency. In this work, a clearance consistency-oriented method (CCOM) for small batch bearing assembly is proposed. It encodes manufacturing errors of components as vectors and seeks a satisfactory combinatorial plan under the framework of a genetic algorithm. The clearance consistency requirement is achieved by forgoing some components as few as possible. Its performance is investigated using an experiment.
径向间隙是深沟球轴承和圆柱滚子轴承的关键质量参数。对于高可靠性应用，用户可能会订购小批量具有高间隙一致性的轴承，但由于制造误差，通常需要使用大量组件进行组装，从而给轴承制造商带来额外成本。传统的组合装配规划方法侧重于最大化装配率，而非降低制造商在间隙一致性方面的成本。本文提出了一种面向间隙一致性的小批量轴承装配方法（CCOM），该方法将零部件的制造误差编码为向量，并在遗传算法框架下寻求满足要求的满意组合方案。通过尽可能减少被舍弃的零部件数量，实现了间隙一致性要求。该方法的性能通过实验进行了验证。 |
| 中文内容为网络AI翻译，专业术语未必准确，仅供参考。 |
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