Journal
MATERIALS
Volume 15, Issue 13, Pages -Publisher
MDPI
DOI: 10.3390/ma15134509
Keywords
wear simulation; sheet metal forming; advanced high-strength steel; wear test; tool wear
Categories
Funding
- Korea Institute of Industrial Technology [KITEC JD-22-0040]
- MOTIE RD Project [20013403]
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This study aimed to develop an efficient wear simulation method to predict quantitative wear reasonably in reduced computational time without updating the geometry for succeeding iterations. By utilizing the scale factor representing the changes in wear properties with respect to wear depth as input, the simulation can capture the wear behavior and quickly predict the increase of wear depth without performing geometry updates.
In conventional wear simulation, the geometry must be updated for succeeding iterations to predict the accumulated wear. However, repeating this procedure up to the desired iteration is rather time consuming. Thus, a wear simulation process capable of reasonable quantitative wear prediction in reduced computational time is needed. This study aimed to develop an efficient wear simulation method to predict quantitative wear reasonably in reduced computational time without updating the geometry for succeeding iterations. The wear resistance of a stamping tool was quantitatively evaluated for different punch shapes (R3.0 and R5.5) and coating conditions (physical vapor deposition of CrN and AlTiCrN coatings) by using a progressive die set. To capture the nonlinear wear behavior with respect to strokes, a nonlinear equation from a modified form of Archard's wear model was proposed. By utilizing the scale factor representing the changes in wear properties with respect to wear depth as input, the simulation can predict the behavior of rapidly increasing wear depth with respect to strokes after failure initiation. Furthermore, the proposed simulation method is efficient in terms of computational time because it does not need to perform geometry updates.
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