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Integrating Stamping-Induced Material Property Variations into FEM Models for Structural Performance Simulation of Sheet-Metal Components

Articolo
Data di Pubblicazione:
2025
Citazione:
Integrating Stamping-Induced Material Property Variations into FEM Models for Structural Performance Simulation of Sheet-Metal Components / Elia, B.; Rezvanpour, H.; Cimolino, D.; Capaccioli, F.; Vergnano, A.. - In: APPLIED SCIENCES. - ISSN 2076-3417. - 15:5(2025), pp. 1-24. [10.3390/app15052480]
Abstract:
The accurate prediction of structural performance in sheet-metal components is critical for optimizing design and ensuring reliability in engineering applications. This study emphasizes the necessity of incorporating non-uniformities induced by stamping processes, such as thickness variation and work-hardening effects, into Finite Element Method (FEM) simulations. Experimental and computational analyses reveal that neglecting these variations results in significant discrepancies, particularly in displacement predictions, where deviations exceeding 50% were observed at specific points. While elastic behavior showed reasonable agreement with experimental results, plastic deformation predictions were notably less accurate due to the inherent inhomogeneities of the real work-hardening model compared to the uniform assumptions in standard FEM models. These findings underscore the need for improved methodologies in mapping stamping-induced material properties and validating simulation results. Further refinement of mapping accuracy and validation techniques is essential for enhancing the predictive capabilities of FEM simulations for complex sheet-metal components.
Tipologia CRIS:
Articolo su rivista
Keywords:
finite element method; sheet-metal; stamping simulation; thickness variation; work-hardening; properties mapping; railway seat; experiment
Elenco autori:
Elia, B.; Rezvanpour, H.; Cimolino, D.; Capaccioli, F.; Vergnano, A.
Autori di Ateneo:
REZVANPOUR HAMED
VERGNANO ALBERTO
Link alla scheda completa:
https://iris.unimore.it/handle/11380/1379309
Link al Full Text:
https://iris.unimore.it//retrieve/handle/11380/1379309/899507/applsci-15-02480-v2.pdf
Pubblicato in:
APPLIED SCIENCES
Journal
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