Cold-Forging Die Optimization Using Experimental and Finite Element Analysis

This study presents an integrated technological approach for improving the service life and operational stability of a P6 die used in the cold-forging production of automotive brake connectors. The work was conducted in an industrial environment characterized by high production volumes and recurrent premature die failure. A hybrid methodology combining Shainin’s dominant-variable methodology with controlled experimentation and finite element analysis (FEA) was implemented to identify and optimize the dominant process variables affecting die durability. The attack angle, chamfer length, and machine rotational speed were determined to be the primary factors influencing stress distribution and fatigue behavior. The optimized configuration (16° attack angle, 1.4 mm chamfer length, and 88 RPM) increased die service life by 416%, improving production throughput from approximately 60,000 to over 250,000 parts per cycle. Numerical simulations confirmed that the geometric redesign effectively reduced localized Von Mises stress concentrations, contributing to enhanced structural reliability. The results demonstrate that integrating empirical industrial methodologies with numerical modeling provides a practical and replicable framework for technological improvement in high-volume cold-forging operations. The proposed approach is transferable to similar tooling optimization challenges in the automotive manufacturing sector.

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Journal
Technologies
Published
2026-04-13
DOI
https://doi.org/10.3390/technologies14040224
Primary Topic
Metallurgy and Material Forming
Type
article
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article

Cold-Forging Die Optimization Using Experimental and Finite Element Analysis

Martin Chimal-Cruz, Francisco Javier Santander-Bastida, Pedro Yáñez-Contreras, Benito Aguilar-Juárez et al.
Technologies
Metallurgy and Material Forming
article

Cold-Forging Die Optimization Using Experimental and Finite Element Analysis

Martin Chimal-Cruz, Francisco Javier Santander-Bastida, Pedro Yáñez-Contreras, Benito Aguilar-Juárez, Deivi Damián-Sánchez
article en

Abstract

This study presents an integrated technological approach for improving the service life and operational stability of a P6 die used in the cold-forging production of automotive brake connectors. The work was conducted in an industrial environment characterized by high production volumes and recurrent premature die failure. A hybrid methodology combining Shainin’s dominant-variable methodology with controlled experimentation and finite element analysis (FEA) was implemented to identify and optimize the dominant process variables affecting die durability. The attack angle, chamfer length, and machine rotational speed were determined to be the primary factors influencing stress distribution and fatigue behavior. The optimized configuration (16° attack angle, 1.4 mm chamfer length, and 88 RPM) increased die service life by 416%, improving production throughput from approximately 60,000 to over 250,000 parts per cycle. Numerical simulations confirmed that the geometric redesign effectively reduced localized Von Mises stress concentrations, contributing to enhanced structural reliability. The results demonstrate that integrating empirical industrial methodologies with numerical modeling provides a practical and replicable framework for technological improvement in high-volume cold-forging operations. The proposed approach is transferable to similar tooling optimization challenges in the automotive manufacturing sector.

TechnologiesVol. 14(4)
Polytechnic University of Puerto Rico (PR), Universidad de Guanajuato (MX)
Openalex Percentile: Top 24%
Metallurgy and Material Forming
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