航空学报 > 2019, Vol. 40 Issue (10): 422847-422847   doi: 10.7527/S1000-6893.2019.22847

带筋整体壁板预应力喷丸成形数值模拟及变形预测

田硕1,2,3, 尚建勤1,2,3, 盖鹏涛1,2,3, 陈福龙1,2,3, 曾元松1,2,3   

  1. 1. 中国航空制造技术研究院, 北京 100024;
    2. 塑性成形技术航空科技重点实验室, 北京 100024;
    3. 数字化塑性成形技术及装备北京市重点实验室, 北京 100024
  • 收稿日期:2018-12-11 修回日期:2018-12-27 出版日期:2019-10-15 发布日期:2019-02-22
  • 通讯作者: 尚建勤 E-mail:jxry66s@126.com
  • 基金资助:
    国家级项目

Numerical simulation and deformation prediction of stress peen forming for integrally-stiffened panels

TIAN Shuo1,2,3, SHANG Jianqin1,2,3, GAI Pengtao1,2,3, CHEN Fulong1,2,3, ZENG Yuansong1,2,3   

  1. 1. AVIC Manufacturing Technology Institute, Beijing 100024, China;
    2. Aeronautical Science and Technologies Key Laboratory for Plastic Forming, Beijing 100024, China;
    3. Beijing Key Laboratory of Digital Plasticity Forming Technology and Equipment, Beijing 100024, China
  • Received:2018-12-11 Revised:2018-12-27 Online:2019-10-15 Published:2019-02-22
  • Supported by:
    National Project

摘要: 带筋整体壁板特别是高筋整体壁板具有优异的结构效率、减重效益和密封效果,在航空航天等领域备受青睐。预应力喷丸成形是大中型、长寿命、高性能复杂带筋整体壁板的一种不可多得的有效成形手段。数值模拟是促进带筋整体壁板预应力喷丸成形技术研究、进步与应用的一种极具潜力的途径。针对带筋整体壁板预应力喷丸成形数值模拟,建立了基于响应面函数的多弹丸撞击有限元模型、基于应变中性层内移的反弯曲应力场法模拟模型、预应力喷丸成形RBF神经网络预测模型,实现了喷丸成形应力场法数值模拟、预应力喷丸成形较高精度数值模拟与变形预测,为带筋整体壁板预应力喷丸成形技术研究和实际应用提供了一种更为便捷、高效、经济的途径。

关键词: 带筋整体壁板, 喷丸, 预应力喷丸成形, 应变中性层, 有限元方法, RBF人工神经网络, 变形预测

Abstract: The integrally-stiffened panel, especially high stiffened integral panel, is commonly used in the aerospace industry due to its high structural efficiency, obvious weight loss benefits and good sealing effect. Stress peen forming is an effective process to induce curvatures in large-medium, long-life, high-performance complex integrally-stiffened panel. Numerical simulation is a promising approach that promotes the investigation, development and application in stress peen forming of integrally-stiffened panel. In order to simulate the stress peen forming of integrally-stiffened panel, a multi-shot impact finite element model based on response surface function, an reverse bending stress field simulation model based on strain neutral layer shifting to inner compression region and a stress peen forming RBF neural network prediction model are established. By applying these three models, the numerical simulation of stress field method, the high-precision numerical simulation and deformation prediction of stress peen forming for integrally-stiffened panel are realized. The present study provides a more convenient, efficient and economical way for the research and application of the stress peen forming process for integrally-stiffened panel.

Key words: integrally-stiffened panel, shot peening, stress peen forming, strain neutral layer, finite element method, RBF artificial neural network, deformation prediction

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