航空学报 > 2023, Vol. 44 Issue (17): 428191-428191   doi: 10.7527/S1000-6893.2023.28191

壁厚与外形耦合约束下空心叶片加工余量优化方法

殷浩林1, 万能1(), 沈晓刚1, 王道2, 乔虎3   

  1. 1.西北工业大学 机电学院,西安 710072
    2.中国航发南方工业有限公司,株洲 412002 3.西安工业大学 机电工程学院,西安 710021
  • 收稿日期:2022-10-31 修回日期:2022-12-05 接受日期:2023-01-17 出版日期:2023-02-20 发布日期:2023-02-17
  • 通讯作者: 万能 E-mail:wanneng@nwpu.edu.cn
  • 基金资助:
    国家自然科学基金(52175435)

Allowance optimization method of hollow blade machining under coupling constraint of wall thickness and profile

Haolin YIN1, Neng WAN1(), Xiaogang SHEN1, Dao WANG2, Hu QIAO3   

  1. 1.School of Mechanical Engineering,Northwest Polytechnical University,Xi’an 710072,China
    2.AECC South Industry Co. ,Ltd,Zhuzhou 412002,China
    3.School of Mechatronic Engineering,Xi’an Technological University,Xi’an 710021,China
  • Received:2022-10-31 Revised:2022-12-05 Accepted:2023-01-17 Online:2023-02-20 Published:2023-02-17
  • Contact: Neng WAN E-mail:wanneng@nwpu.edu.cn
  • Supported by:
    National Natural Science Foundation of China(52175435)

摘要:

针对宽弦空心风扇叶片余量分布不均匀甚至负余量的困难,提出了考虑壁厚与外形耦合约束的多层次余量优化方法。首先,获取外形在机测量结果后,利用拉普拉斯网格变形算法重构叶片毛坯曲面,据此在叶片机内测量允用时间内获得壁厚测量处精确的法矢。为了加工余量分布同时满足叶身壁厚和外形的设计要求,建立了耦合壁厚和外形的优化约束条件,提出了不同解空间的多层次余量优化变量,从而构建了不同优先级的余量优化模型。并且通过递进使用不同优化模型求解最优空心叶片余量分布。最后,以某型空心叶片为对象验证了所提方法的有效性,能保证加工余量、壁厚与外形耦合的公差约束,这为宽弦空心叶片智能余量优化提供了新方法。

关键词: 余量优化, 空心叶片, 拉普拉斯网格变形, 约束耦合, 自适应加工

Abstract:

To address the problem of non-uniform and negative allowance distribution of wild-chord hollow fan blades, a multi-level allowance optimization method which considers the coupling constraint of wall thickness and profile is proposed. Firstly, in term of the profile measurement result by on-machine measurement, the blade blank surface is reconstructed by the Laplace mesh deformation to obtain the accurate normal vectors of wall thickness measurement in a short time. To make the machining allowance distribution meet the design requirements of the wall thickness and profile, the optimization constraint which couples the wall thickness and profile are established, and the multi-level allowance optimization variables with different solution spaces are achieved, so as to construct allowance optimization models with different priorities. Furthermore, different optimization models are used to get the optimal hollow blade allowance distribution. Finally, the proposed method is verified by the experiment which takes a certain type of hollow blade as the object, and the experiment ensures the tolerance constraints of machining allowance, wall thickness and profile coupling, providing a new method for intelligent allowance optimization of wide-chord hollow blades.

Key words: allowance optimization, hollow blade, Laplace mesh deformation, constraint coupling, adaptive machining

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