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Model Based Fatigue Life Prediction for AA 7075-T651

机译:AA 7075-T651基于模型的疲劳寿命预测

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VEXTEC's fatigue simulation capability predicts the fatigue life of components based on the microstructural material properties of the alloy rather than using large empirical datasets. Current industry standard methods determine fatigue life based on time consuming and expensive physical component testing. VEXTEC's component fatigue model is unique because it uses intrinsic material properties and very limited testing to accurately predict fatigue durability.rnThe model simulates the microstructure of the material using probabilistic material properties such as grain size, grain boundary stress intensity factor, Poisson's ratio, particle size and particle density. The simulation then predicts the number of cycles to complete each stage of fatigue damage: crack nucleation, short crack growth and long crack growth.rnIn a validation case, the fatigue model was created for a common aircraft alloy, aluminum 7075-T651, using material properties and a limited set of smooth bar fatigue test points. This same fatigue model accurately predicted the fatigue life for a flat plate in bending and a 2-hole specimen in complex mission. Physical fatigue testing validated the fatigue predictions.rnVEXTEC can use this algorithm to model the fatigue durability of aircraft components. Accurate health management algorithms for component fatigue can be developed through modeling rather than extensive and expensive testing. PHM systems will benefit from a widely applicable model that accurately predicts structural reliability.
机译:VEXTEC的疲劳模拟功能可根据合金的微结构材料特性而不是使用大型经验数据集来预测组件的疲劳寿命。当前的行业标准方法基于耗时且昂贵的物理组件测试来确定疲劳寿命。 VEXTEC的组件疲劳模型之所以独特,是因为它使用了固有的材料特性和非常有限的测试来准确预测疲劳耐久性.rn该模型使用概率材料特性(例如晶粒尺寸,晶界应力强度因子,泊松比,粒径)来模拟材料的微观结构和颗粒密度。然后仿真模拟预测完成疲劳破坏每个阶段的周期数:裂纹成核,短裂纹增长和长裂纹增长。在验证情况下,使用材料为常见的飞机合金铝7075-T651创建了疲劳模型特性和一组有限的光杆疲劳测试点。该相同的疲劳模型可准确预测平板弯曲时的疲劳寿命和复杂任务中的2孔试样的疲劳寿命。物理疲劳测试验证了疲劳预测。rnVEXTEC可以使用此算法对飞机部件的疲劳耐久性进行建模。可以通过建模而不是进行大量且昂贵的测试来开发用于部件疲劳的准确的健康管理算法。 PHM系统将从准确预测结构可靠性的广泛应用模型中受益。

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