东北大学学报(自然科学版) ›› 2025, Vol. 46 ›› Issue (5): 87-94.DOI: 10.12068/j.issn.1005-3026.2025.20230320

• 机械工程 • 上一篇    下一篇

数控机床回转工作台可靠性优化

黄贤振1,2(), 马明斐1, 姜智元1, 邱开慧3   

  1. 1.东北大学 机械工程与自动化学院,辽宁 沈阳 110819
    2.东北大学 航空动力装备振动及控制教育部重点实验室,辽宁 沈阳 110819
    3.武汉钢铁有限公司,湖北 武汉 430080
  • 收稿日期:2023-11-30 出版日期:2025-05-15 发布日期:2025-08-07
  • 通讯作者: 黄贤振
  • 基金资助:
    国家自然科学基金资助项目(U23B2098);国家自然科学基金资助项目(U22B2087);辽宁省应用基础研究计划项目(2023JH2/101300160)

Reliability Optimization of CNC Machine Tool Rotary Tables

Xian-zhen HUANG1,2(), Ming-fei MA1, Zhi-yuan JIANG1, Kai-hui QIU3   

  1. 1.School of Mechanical Engineering & Automation,Northeastern University,Shenyang 110819,China
    2.Key Laboratory of Vibration and Control of Aero-Propulsion Systems,Ministry of Education,Northeastern University,Shenyang 110819,China
    3.Wuhan Iron & Steel Co. Ltd,Wuhan 430080,China.
  • Received:2023-11-30 Online:2025-05-15 Published:2025-08-07
  • Contact: Xian-zhen HUANG

摘要:

为了保证回转工作台刚度的同时尽可能地降低质量,并提高其可靠性,提出了一种回转工作台可靠性优化方法.该方法考虑了回转工作台内部结构之间装配关系的不变性,并引入了随机不确定性因素.通过灵敏度分析确定对回转工作台性能影响较大的尺寸参数,并进行优化.与传统优化方法不同,本文采用Kriging代理模型代替耗时的有限元分析.此外,在优化过程中引入了一种高效的元启发式算法来求解所提出的可靠性优化问题.随后,研究了各种参数配置对回转工作台变形可靠性的影响.最后,通过实例验证了所提优化方法的有效性和鲁棒性.

关键词: 机床回转工作台, 刚度, Kriging代理模型, 可靠性评估, 可靠性优化

Abstract:

To ensure the stiffness of the rotary table while minimizing its weight and enhancing its reliability, a reliability-based design optimization (RBDO) method is proposed for the rotary table. This method takes into account the invariance of the assembly relationships between the internal structures of the rotary table, and also incorporates the random uncertainty factors. Through sensitivity analysis, size parameters that significantly affect the performance of the rotary table are identified, and optimization design is conducted on these parameters. Unlike the traditional optimization methods, a Kriging surrogate model is applied to replace time-consuming finite element analysis. Furthermore, an efficient meta-heuristic algorithm is introduced during the optimization process to address the proposed RBDO problem. Subsequently, the impact of various parameter configurations on the deformation reliability of the rotary table is investigated. Finally, the effectiveness and robustness of the proposed optimization method are validated through practical examples.

Key words: machine tool rotary table, stiffness, Kriging surrogate model, reliability assessment, reliability optimization

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