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Published on: December 13, 2016
Hardness Assessment Considering Nitrided Layers Based on Tempering Tests for Numerical Wear Prediction for Forging
Bernd-Arno Behrens1, Kai Brunotte1, Hendrik Wester1
1Institute of Metal Forming and Forming Machines, Leibniz University Hannover, 30823 Garbsen, Germany.
Nitriding forging tools enhances hardness but complicates wear prediction. This study develops a new model to predict hardness evolution, improving wear calculations for high-cycle forging, though adhesion effects limit accuracy.
Area of Science:
- Materials Science
- Mechanical Engineering
- Tribology
Background:
- Nitriding is standard for forging tool wear reduction and surface hardening.
- Current wear models like Archard's fail to account for nitriding's microstructural and thermal-mechanical effects.
- Accurate wear prediction requires incorporating these complex surface modifications.
Purpose of the Study:
- To develop and validate a new material model for predicting hardness evolution in nitrided forging tools.
- To integrate this model into a numerical wear simulation for improved accuracy.
- To assess the model's predictive capability under forging conditions.
Main Methods:
- Development of two tempering tests to analyze hardness changes in H11 tool steel nitride profiles.
- Observation of tempering effects influenced by temperature, stress, and time.
- Implementation of a new material model into an existing finite element (FE) wear model.
- Validation through laboratory forging test series.
Main Results:
- Significant tempering effects on hardness were observed, dependent on test conditions.
- The new material model successfully predicted hardness development in nitrided tools, especially for high forging cycles.
- Adhesion effects emerged unexpectedly, limiting the overall applicability of the wear prediction.
Conclusions:
- Numerical prediction of hardness evolution due to tempering in nitrided forging tools is feasible.
- The developed model shows promise for enhancing wear simulations in high-cycle forging.
- Further research is needed to address adhesion phenomena for comprehensive wear prediction.
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