Access the full text.
Sign up today, get DeepDyve free for 14 days.
B.W. Liang, X.D. Chen, Z.H. Wang
Sheet Metal Forming Characteristic
Y. Long (2000)
Variation simulation for compliant sheet metal assemblies with applications
K. Merkley
Tolerance analysis of compliant assemblies
L. Xie, Ching Hsieh (2002)
Clamping and welding sequence optimisation for minimising cycle time and assembly deformationInternational Journal of Materials & Product Technology, 17
J. Camelio, S. Hu, D. Ceglarek (2004)
Impact of fixture design on sheet metal assembly variationJournal of Manufacturing Systems, 23
J. Camelio, S. Hu, S. Marin (2004)
Compliant Assembly Variation Analysis Using Component Geometric CovarianceJournal of Manufacturing Science and Engineering-transactions of The Asme, 126
S. Liu, S. Hu (1995)
An offset finite element model and its applications in predicting sheet metal assembly variationInternational Journal of Machine Tools & Manufacture, 35
Z.X. Liu, Y. Sun, G.Q. Wang
Computational Solid Mechanics
J. Camelio, S. Hu, D. Ceglarek (2003)
Modeling Variation Propagation of Multi-Station Assembly Systems With Compliant PartsJournal of Mechanical Design, 125
S. Hu, R. Webbink, J. Lee, Y. Long (2003)
Robustness evaluation for compliant assembly systemsJournal of Mechanical Design, 125
S. Dahlström, R. Söderberg
Analysis of final geometry due to welding process effects in sheet metal assemblies
Xiaoyun Liao, Gongming Wang (2005)
Employing fractals and FEM for detailed variation analysis of non-rigid assembliesInternational Journal of Machine Tools & Manufacture, 45
S.C. Liu, S.J. Hu
An offset element and its applications in predicting sheet metal assembly variation
M. Chang, D. Gossard (1997)
Modeling the assembly of compliant, non-ideal partsComput. Aided Des., 29
Stefan Dahlström, L. Lindkvist (2007)
Variation Simulation of Sheet Metal Assemblies Using the Method of Influence Coefficients With Contact ModelingJournal of Manufacturing Science and Engineering-transactions of The Asme, 129
Wayne Cai, S. Hu, Jingxia Yuan (1996)
Deformable Sheet Metal Fixturing: Principles, Algorithms, and SimulationsJournal of Manufacturing Science and Engineering-transactions of The Asme, 118
Xiaoyun Liao, G. Wang (2005)
Wavelets-based method for variation analysis of non-rigid assembliesInternational Journal of Machine Tools & Manufacture, 45
W. Cai, Y. Long, Ching Hsieh (2003)
Variation Simulations for Digital Panel Assembly
Robert Foguth, J. Motwani (1998)
A method of including material variation in capability studiesThe Tqm Magazine, 10
S. Hu, Y. Koren (1997)
Stream-of-Variation Theory for Automotive Body AssemblyCIRP Annals, 46
B. Shiu, D. Ceglarek, Jianjun Shi (1997)
Flexible beam-based modeling of sheet metal assembly for dimensional control
S. Liu, S. Hu (1997)
Variation simulation for deformable sheet metal assemblies using finite element methodsJournal of Manufacturing Science and Engineering-transactions of The Asme, 119
Purpose – Material variation is inevitable in volume production, especially the sheet metal thickness variation, which influences part stiffness characteristic. The purpose of this paper is to present a new variation model of compliant sheet metal assembly with consideration of material variation influence. Design/methodology/approach – The theory of computational solid mechanics is used to obtain the relationship between part stiffness matrix and material characteristic. The method of influence coefficients is adopted to deduce the assembly variation model. Findings – Material variation‐induced influence coefficients to assembly variation are obtained, and a variation model of compliant sheet metal assembly with sources of material variations, part geometric variations and fixture variations is presented. Analysis shows that material variation has an important influence to assembly variations. Originality/value – A quantitative relationship between assembly variations and material thickness variations is firstly given and a new variation model of compliant sheet metal assembly is presented to help designers to more exactly predict the assembly variation and diagnose variation sources.
Assembly Automation – Emerald Publishing
Published: Aug 1, 2008
Keywords: Assembly; Automotive industry; Computer software; Sheet metal
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.