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A Reduced Order Constitutive Modeling Approach for a Material Subjected to Combined Cycle Fatigue

机译:组合循环疲劳材料的降阶本构建模方法

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As the plans of next generation hypersonic vehicles are drafted, material selection for key components is a critical step in the design process. The service conditions, however, are expected to be more aggressive than those to which many materials have been exposed to in laboratory conditions. For example, key fuselage panels will experience super-imposed thermal, mechanical, and acoustical loading. Despite the more recent efforts to characterize materials under these so-called combined extreme environments (CEEs), the temperature-and rate-dependent cylic hardening/softening responses are still relatively under-characterized. A method to develop first approximations of constitutive model/parameters for materials under extreme service conditions is presented. The method is exercised on IN617 a Ni-base alloy often employed for high temperature applications. The approach shows that a minimal collection of tensile, creep, and LCF data are needed to develop predictions of materials under thermos-acousto-mechanical fatigue loading.
机译:随着下一代高超音速飞行器计划的草拟,关键零部件的材料选择是设计过程中的关键步骤。但是,与许多材料在实验室条件下所承受的使用条件相比,预期使用条件会更加苛刻。例如,关键的机身面板将承受叠加的热,机械和声学负载。尽管最近在这些所谓的组合极端环境(CEE)下为表征材料进行了更多的努力,但温度和速率相关的环硬化/软化响应仍然相对不足。提出了一种在极端使用条件下开发材料本构模型/参数一阶近似的方法。该方法在IN617镍基合金上执行,该镍基合金通常用于高温应用。该方法表明,仅需要很少的拉伸,蠕变和LCF数据收集,即可开发热-声-机械疲劳载荷下的材料预测。

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