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Inverse Method to Determine Fatigue Properties of Materials by Combining Cyclic Indentation and Numerical Simulation
Hafiz Muhammad Sajjad1, Hamad Ul Hassan1, Matthias Kuntz2
1Interdisciplinary Centre for Advanced Material Simulation (ICAMS), Ruhr-Universität Bochum, Universitätsstr 150, 44801 Bochum, Germany.
This study introduces a new method using cyclic nanoindentation and simulations to determine material parameters for cyclic plasticity. This approach accurately predicts material behavior and may replace traditional fatigue testing.
Area of Science:
- Materials Science
- Mechanical Engineering
- Computational Mechanics
Background:
- Instrumented indentation is a standard technique for measuring material properties like Young's modulus and microhardness.
- Advanced methods combine indentation experiments with simulations for inverse analysis to determine parameters such as yield strength and tensile strength.
Purpose of the Study:
- To introduce and validate an inverse method for determining kinematic hardening parameters, crucial for understanding cyclic plasticity.
- To establish a quasi-nondestructive technique that complements or potentially replaces conventional fatigue testing.
Main Methods:
- Cyclic Vickers indentation experiments were performed on materials with unknown properties.
- Finite element simulations of the indentation process were conducted.
- An inverse analysis approach was employed to determine the material's cyclic plasticity parameters from experimental and simulation data.
Main Results:
- The developed inverse method successfully determined kinematic hardening parameters.
- The determined parameters accurately predicted the uniaxial stress-strain response of the tested materials.
- Excellent agreement was observed between measured and predicted cyclic stress-strain curves for martensitic steel and copper.
Conclusions:
- The proposed inverse method, utilizing cyclic nanoindentation and finite element analysis, is effective for characterizing cyclic plasticity.
- This technique offers a promising, quasi-nondestructive alternative to resource-intensive conventional fatigue testing for certain applications.
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