2020
DOI: 10.3390/ma13143126
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Inverse Method to Determine Fatigue Properties of Materials by Combining Cyclic Indentation and Numerical Simulation

Abstract: The application of instrumented indentation to assess material properties like Young’s modulus and microhardness has become a standard method. In recent developments, indentation experiments and simulations have been combined to inverse methods, from which further material parameters such as yield strength, work hardening rate, and tensile strength can be determined. In this work, an inverse method is introduced by which material parameters for cyclic plasticity, i.e., kinematic hardening parameters, can be de… Show more

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Cited by 12 publications
(4 citation statements)
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“…To accomplish this, a genetic algorithm was used, in which the parameters of the DP model were updated at each subsequent iteration based on the fitness of the load-depth curve. The parameterization process was terminated once the NMSE is smaller than 3 × 10 −2 , following the criterion used by Sajjad et al [30]. It is noted here that only the load-displacement curve for an indentation depth of 105 nm was used for this inverse parameters identification; later we validated the optimized parameter set by conducting the nanoindentation for other applied maximum indentation depths.…”
Section: Parameter Identification By An Inverse Methodsmentioning
confidence: 99%
“…To accomplish this, a genetic algorithm was used, in which the parameters of the DP model were updated at each subsequent iteration based on the fitness of the load-depth curve. The parameterization process was terminated once the NMSE is smaller than 3 × 10 −2 , following the criterion used by Sajjad et al [30]. It is noted here that only the load-displacement curve for an indentation depth of 105 nm was used for this inverse parameters identification; later we validated the optimized parameter set by conducting the nanoindentation for other applied maximum indentation depths.…”
Section: Parameter Identification By An Inverse Methodsmentioning
confidence: 99%
“…The general feasibility of obtaining true material parameters from the inverse analysis of indentation results has been demonstrated by Schmaling and Hartmaier [60] for conventional hardness tests. In more recent work, the reliability of this inverse method has been shown for nanoindentation [61] and also for cyclic indentations [62]. Thus, nanoindentation tests were performed on the Al and Si-rich phases of the AB and HT states using a Berkovich indenter.…”
Section: Identification Of Materials Parametersmentioning
confidence: 99%
“…Microindentation approaches have shown promising correlations with the macroscale fatigue behavior. [1][2][3][4][5][6][7][8][9][10][11][12][13] Large microindents make it difficult, however, to test very small structures. Further, the results average over the microstructure, thus concealing information on the influence of local microstructural variations and the interaction between single phases and fatigue mechanisms.…”
Section: Introductionmentioning
confidence: 99%