Experimental and numerical research for the failure behavior of the clinched joint using modified Rousselier model-Reference-Cited by-同舟云学术

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Experimental and numerical research for the failure behavior of the clinched joint using modified Rousselier model

Published:2014-10 Issue:10 Volume:214 Page:2134-2145
ISSN:0924-0136
Container-title:Journal of Materials Processing Technology
language:en
Short-container-title:Journal of Materials Processing Technology

Author:

Zhao S.D.,Xu F.,Guo J.H.,Han X.L.

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Metals and Alloys,Computer Science Applications,Modeling and Simulation,Ceramics and Composites

Reference27 articles.

1. Simulation of ductile crack growth using computational cells: numerical aspects;Arne;Eng. Fract. Mech.,2000

2. Numerical modeling of self-pierce riveting from riveting process modeling down to structural analysis;Bouchard;J. Mater. Process. Technol.,2008

3. Analytical method to predict the pull-out strength of clinched connections;Coppieters;Thin. Wall. Struct.,2012

4. Numerical and experimental study of the multi-axial quasi-static strength of clinched connections;Coppieters;Int. J. Mater. Form.,2013

5. Reproducting the experimental pull-out and shear strength of clinched sheet metal connections using FEA;Coppieters;Int. J. Mater. Form.,2011

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1. Experimental and numerical research for the failure behavior of the dieless clinching joints;Engineering Failure Analysis;2024-10

2. Effects of Hard-to-Measure Material Parameters on Clinching Joint Geometries Using Combined Finite Element Method and Machine Learning;SAE International Journal of Materials and Manufacturing;2024-05-06

3. Numerical and data-driven uncertainty quantification of process parameters on clinching joint geometries;Mechanics of Advanced Materials and Structures;2024-03-27

4. Research on material flow in flat clinching process and joint failure mechanism;Journal of Central South University;2023-12

5. Pareto optimal solution set strategy based on multiobjective optimization for the clinching tools;The International Journal of Advanced Manufacturing Technology;2023-08-19

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