Enhancing accuracy in simulation of sheet metal forming by modelling elasticity of tools

The first ESAFORM Benchmark was dedicated to the cylindrical cup drawing test and involved the participation of 11 laboratories worldwide. Despite the wide variety of computational models adopted, several experimental results were not accurately predicted, and no conclusive explanation for the observed discrepancies was identified, motivating further investigation. Using the same benchmark configuration, the present study examines the influence of modelling tools as rigid or elastic on the accuracy of sheet metal forming simulations. The effect of the elasticity of tools is quantified and related to discrepancies previously reported in the benchmark. Different process conditions, including variations in blank thickness and diameter were analysed for two materials: AA6016 aluminium alloy and DC06 steel. The results demonstrate that considering the elasticity of tools significantly improves the prediction of punch force evolution, cup wall thickness, and earing profile, particularly in processes involving ironing. Elastic deflection of the tools modifies the contact pressure distribution under the blank-holder and increases the effective punch–die gap, leading to more accurate predictions of ironing forces and wall thickness. These findings help explain discrepancies observed in the first ESAFORM Benchmark and highlight that incorporating the elasticity of tools is essential for high-fidelity sheet metal forming simulations, particularly when ironing occurs.

Authors

Institutions

Publication Details

Journal
International Journal of Material Forming
Published
2026-03-31
DOI
https://doi.org/10.1007/s12289-026-02002-0
Primary Topic
Metal Forming Simulation Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing accuracy in simulation of sheet metal forming by modelling elasticity of tools

Peter Frohn-Sörensen, D.M. Neto, Jonas Reuter, Apostolos Aslanidis et al.
International Journal of Material Forming
Metal Forming Simulation Techniques
article

Enhancing accuracy in simulation of sheet metal forming by modelling elasticity of tools

Peter Frohn-Sörensen, D.M. Neto, Jonas Reuter, Apostolos Aslanidis, Abel Santos, Marta Oliveira, Daniel J. Cruz, Bernd Engel
article en

Abstract

The first ESAFORM Benchmark was dedicated to the cylindrical cup drawing test and involved the participation of 11 laboratories worldwide. Despite the wide variety of computational models adopted, several experimental results were not accurately predicted, and no conclusive explanation for the observed discrepancies was identified, motivating further investigation. Using the same benchmark configuration, the present study examines the influence of modelling tools as rigid or elastic on the accuracy of sheet metal forming simulations. The effect of the elasticity of tools is quantified and related to discrepancies previously reported in the benchmark. Different process conditions, including variations in blank thickness and diameter were analysed for two materials: AA6016 aluminium alloy and DC06 steel. The results demonstrate that considering the elasticity of tools significantly improves the prediction of punch force evolution, cup wall thickness, and earing profile, particularly in processes involving ironing. Elastic deflection of the tools modifies the contact pressure distribution under the blank-holder and increases the effective punch–die gap, leading to more accurate predictions of ironing forces and wall thickness. These findings help explain discrepancies observed in the first ESAFORM Benchmark and highlight that incorporating the elasticity of tools is essential for high-fidelity sheet metal forming simulations, particularly when ironing occurs.

International Journal of Material FormingVol. 19(2)
Universidade do Porto (PT), University of Siegen (DE), Institute of Mechanical Engineering and Industrial Mangement (PT), University of Coimbra (PT)
Universidade de Coimbra
Openalex Percentile: Top 15%
Metal Forming Simulation Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.