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Robustness of the algorithms for extracting plastic properties from the instrumented sharp indentation data

机译:从仪器的尖锐压痕数据中提取塑性的算法的鲁棒性

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摘要

Algorithms for extracting mechanical properties from instrumented sharp indentation results (P-h curves) were recently developed on the basis of extensive finite element simulations coupled with the identification of a representative strain underneath the indenter and construction of characteristic dimensionless functions. The representative strain varies with the cone angle and a critical experimental verification of this concept was performed recently. In this paper, we ascertain the robustness of the algorithms, by subjecting the load versus depth of penetration curves (generated using finite element simulations on solids that were subjected to different levels of prior-plastic strains) to the reverse algorithms and comparing the extracted flow stress and the work-hardening exponent to the uniaxial data generated experimentally. A good match between the experiments and simulations validates the key assumptions made during the algorithm development.
机译:最近,在广泛的有限元模拟以及在压头下确定代表性应变并构造无量纲特征函数的基础上,开发了从仪器的尖锐压痕结果(P-h曲线)中提取机械性能的算法。代表应变随锥角而变化,最近对该概念进行了关键的实验验证。在本文中,我们通过对载荷曲线与穿透深度曲线(使用有限元模拟法对经受不同水平的先塑性应变的固体生成)进行逆算法并比较提取的流量,从而确定算法的鲁棒性实验产生的单轴数据的应力和加工硬化指数。实验与仿真之间的良好匹配验证了算法开发过程中做出的关键假设。

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