Next Article in Journal
Selection of Processing Parameters in Laser Powder Bed Fusion for the Production of Iron Cellular Structures
Previous Article in Journal
Theoretical Prediction of Yield Strength in Co(1-x-y)CryNix Medium-Entropy Alloys: Integrated Solid Solution and Grain Boundary Strengthening
Previous Article in Special Issue
Reducing Maximum Punching Force in Sheet Cold Forming: A Numerical Study of a New Punch Design (Part I)
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Reducing Maximum Punching Force in Sheet Cold Forming: A Numerical Study of a New Punch Design (Part II)

1
Laboratoire de Génie des Matériaux et Environnement (LGME), Ecole Nationale d’Ingénieurs de Sfax, University of Sfax, Route Soukra Km 3.5, P.O. Box 1173, Sfax 3038, Tunisia
2
Laboratory of Electromechanical Systems, National School of Engineers of Sfax, University of Sfax, Soukra Road, Km 3.5, P.O. Box 1173, Sfax 3038, Tunisia
3
Department of Mechanical Engineering, Centre for Mechanical Technology and Automation (TEMA), University of Aveiro, 3810-193 Aveiro, Portugal
4
LASI—Intelligent Systems Associate Laboratory, 4800-058 Guimarães, Portugal
*
Author to whom correspondence should be addressed.
Metals 2025, 15(12), 1353; https://doi.org/10.3390/met15121353
Submission received: 25 September 2025 / Revised: 18 November 2025 / Accepted: 5 December 2025 / Published: 9 December 2025

Abstract

Punching is a widely adopted cold sheet metal forming process, prized for its cost-effectiveness and high production efficiency. However, premature tool failure remains a persistent challenge, leading to increased downtime and maintenance costs. This study investigates solutions to mitigate tool failure through a combination of 3D design optimization, Finite Element Modeling (FEM), and Response Surface Methodology (RSM). Specifically, FEM was used to analyze stress distribution and deformation in the punch under varying geometric and operational parameters, while RSM optimized the design space to identify key factors influencing tool life. The findings reveal that each proposed solution, including modifications to punch geometry, clearance, and material treatment, offers distinct advantages and trade-offs. A comparative analysis of these solutions highlighted one optimal design, which was then further analyzed using FEM to predict damage progression. While this study provides a framework for reducing tool failure, experimental validation of the damage prediction model is recommended for future work to confirm the numerical results. This research aims to provide industrial practitioners with actionable insights and methodologies to enhance punch durability, ultimately reducing production interruptions and costs.
Keywords: RSM; Johnson Cook; punching; Von Mises stress RSM; Johnson Cook; punching; Von Mises stress
Graphical Abstract

Share and Cite

MDPI and ACS Style

Zeidi, A.; Akrout, M.; Elleuch, K.; Pereira, A. Reducing Maximum Punching Force in Sheet Cold Forming: A Numerical Study of a New Punch Design (Part II). Metals 2025, 15, 1353. https://doi.org/10.3390/met15121353

AMA Style

Zeidi A, Akrout M, Elleuch K, Pereira A. Reducing Maximum Punching Force in Sheet Cold Forming: A Numerical Study of a New Punch Design (Part II). Metals. 2025; 15(12):1353. https://doi.org/10.3390/met15121353

Chicago/Turabian Style

Zeidi, Abdelwaheb, Mabrouka Akrout, Khaled Elleuch, and António Pereira. 2025. "Reducing Maximum Punching Force in Sheet Cold Forming: A Numerical Study of a New Punch Design (Part II)" Metals 15, no. 12: 1353. https://doi.org/10.3390/met15121353

APA Style

Zeidi, A., Akrout, M., Elleuch, K., & Pereira, A. (2025). Reducing Maximum Punching Force in Sheet Cold Forming: A Numerical Study of a New Punch Design (Part II). Metals, 15(12), 1353. https://doi.org/10.3390/met15121353

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop