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Towards the automation of the die spotting process: Contact blue pattern decryption
(Elsevier Ltd., 2020)
Automotive die spotting is one of the most complex and least standardized processes in the tool making process. A spotting expert identifies local contact areas through a blue-paste pattern and the die/sheet contact is ...
A coupled 3D wear and fatigue numerical procedure: Application to fretting problems in ultra-high strength steel wires
(Elsevier Ltd., 2021)
This work presents a coupled 3D wear and fatigue numerical procedure for fretting problems in ultra-high strength steel wires that combines Archard’s wear equation with the Smith–Watson–Topper parameter to predict crack ...
Numerical study of advanced friction modelling for sheet metal forming: influence of the die local roughness
(Elsevier Ltd., 2022)
Numerical simulation of sheet metal forming processes has become indispensable in the last decades. Although the complexity of the frictional behaviour is identified as a key factor for the prediction accuracy, the industry ...
Post-forming, electro-plastic effect internal stress reduction in AA5754 aluminium alloy
(Elsevier, 2022)
Aluminium alloys are one of the most efficient materials for weight reduction in the car industry. However, the favourable performance of alloys conflicts with the difficulties of transforming these materials through plastic ...
Plasticity evolution of an aluminum-magnesium alloy under abrupt strain path changes
(Springer, 2022)
During the forming and manufacturing of engineering materials, plasticity behavior could be evolving significantly due to complex deformation history. Therefore, this study aims to characterize the plasticity evolution of ...
In-situ analysis of the elastic-plastic characteristics of high strength dual-phase steel
(Elsevier, 2022)
Modeling the elastic behavior of dual-phase steels is complex due to the strain dependency of Young's modulus and high elastic nonlinearity. Since it is assumed that reasons for this are to be found in microstructural ...
Hardening prediction of diverse materials using the Digital Image Correlation technique
(Elsevier, 2018)
In recent years, due to the introduction of higher resistance materials in the automotive sector, sheet metal-forming tool-makers have been forced to deal with more challenging process designs. Therefore, the optimisation ...
New drawbead tester and numerical analysis of drawbeads closure force
(Springer, 2021)
Currently, a great deal of controversy exists regarding the real forces generated in drawbeads during sheet metal forming processes. The present work focuses on the analysis of the uplift force. First, a detailed literature ...
The Interaction between the Sheet/Tool Surface Texture and the Friction/Galling Behaviour on Aluminium Deep Drawing Operations
(MDPI, 2021)
The increasing demands for lightweight design in the transport industry have led to an extensive use of lightweight materials such as aluminium alloys. The forming of aluminium sheets however presents significant challenges ...
Comparison of the hardening behaviour of different steel families : from mild and stainless steel to advanced high strength steels
(Elsevier Ltd., 2015)
Although steel has been used in vehicles from the automotive industry's inception, different steel gradesare continually being developed in order to satisfy new fuel economy requirements. For example,advanced high strength ...