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首页> 外文期刊>International Journal of Fatigue >A computational methodology for determining the optimum re-peening schedule to increase the fatigue life of laser peened aircraft components
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A computational methodology for determining the optimum re-peening schedule to increase the fatigue life of laser peened aircraft components

机译:确定最佳重新喷丸计划以延长激光喷丸飞机部件疲劳寿命的计算方法

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摘要

Surface enhancement techniques, such as laser peening, have wide applications in the aerospace industry. They increase the structural component's life by imparting compressive residual stresses around the critical locations where the cracks are likely to initiate and later propagate leading to component failure. However, the compressive residual stresses can relax due to the loading conditions and reduce the laser peening effectiveness. Under such a condition, re-peening or re-laser peening a component already in service can further increase its component life. This research develops a method to predict the optimum re-peening time for maximum fatigue life under realistic loading conditions. An optimization problem is set up to illustrate the application of this method to an aircraft lug problem. Results from the investigation indicate that re-peening this component ~50-55% of its expected fatigue life maximizes the component's fatigue life. The proposed approach, proven to be able to obtain optimal process parameters for improving the fatigue resistance of the component, can significantly reduce the costs for experimental testing.
机译:表面增强技术,例如激光喷丸,在航空航天工业中具有广泛的应用。它们通过在关键位置附近施加压缩残余应力来延长结构部件的寿命,在这些关键位置裂纹可能会发生并随后传播导致部件失效。但是,压缩残余应力会由于加载条件而松弛,从而降低了激光喷丸效果。在这种情况下,重新喷丸或重新喷丸已使用中的组件可以进一步延长其组件寿命。这项研究开发了一种预测在实际载荷条件下最大疲劳寿命的最佳重新喷丸时间的方法。建立了一个优化问题,以说明该方法在飞机吊耳问题中的应用。调查结果表明,在该部件的预期疲劳寿命的约50%至55%之间进行喷丸处理可以使该部件的疲劳寿命最大化。所提出的方法被证明能够获得最佳的工艺参数以改善部件的抗疲劳性,可以显着降低实验测试的成本。

著录项

  • 来源
    《International Journal of Fatigue》 |2015年第1期|395-405|共11页
  • 作者单位

    Department of Mechanical and Materials Engineering, Wright State University, Dayton, OH 45435, USA, 209 Russ Center, 3640 Colonel Glenn Highway, Dayton, OH 45435, USA;

    Department of Mechanical and Materials Engineering, Wright State University, Dayton, OH 45435, USA;

    Department of Mechanical and Materials Engineering, Wright State University, Dayton, OH 45435, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Laser peening; Re-peening; Fatigue; Optimization; FALSTAFF spectrum;

    机译:激光喷丸;重新喷丸;疲劳;优化;福斯塔夫谱;

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