Self-calibration of area function for mechanical property determination with nanoindentation tests

As the need for miniaturized structural and functional materials has increased, the need for precise materials characterizaton has also expanded. Nanoindentation is a popular method that can be used to measure material mechanical behavior which enables high-throughput experiments and, in some cases, can also provide images of the indented area through scanning. Both indenting and scanning can cause tip wear that can influence the measurements. Therefore, precise characterization of tip radii is needed to improve data evaluation. A data fusion method is introduced which uses finite element simulations and experimental data to estimate the tip radius in situ in a meaningful way using an interpretable multi-fidelity deep learning approach. By interpreting the machine learning models, it is shown that the approaches are able to accurately capture physical indentation phenomena.

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“…For this reason, multiple new studies have been carried out with the goal of characterizing tip wear. 15 , 19 – 21 …”

Section: Introductionmentioning

confidence: 99%

Bridging Fidelities to Predict Nanoindentation Tip Radii Using Interpretable Deep Learning Models

Trost

Žák

Schaffer

et al. 2022

JOM

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Characterization of Distribution of Microstructure and Micro-mechanical Properties of Nickel-Based Single Crystal Superalloy Within the Shot-Peened Layer

et al. 2023

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Strength and stiffness characterization of ultra-high performance concrete (UHPC) cement paste phases through in-situ micro-mechanical testing

Puttbach,

Prinz,

Murray

2024

Cement and Concrete Composites

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Self-calibration of area function for mechanical property determination with nanoindentation tests

Cited by 10 publications

References 78 publications

Bridging Fidelities to Predict Nanoindentation Tip Radii Using Interpretable Deep Learning Models

Bridging Fidelities to Predict Nanoindentation Tip Radii Using Interpretable Deep Learning Models

Characterization of Distribution of Microstructure and Micro-mechanical Properties of Nickel-Based Single Crystal Superalloy Within the Shot-Peened Layer

Strength and stiffness characterization of ultra-high performance concrete (UHPC) cement paste phases through in-situ micro-mechanical testing

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