Design Engineering 2004
DOI: 10.1115/imece2004-60521
|View full text |Cite
|
Sign up to set email alerts
|

Product Tolerance Allocation in Compliant Multistation Assembly Through Variation Propagation and Analytical Target Cascading

Abstract: Compliant sheet metal assembly is a hierarchical manufacturing process that plays a significant role in automotive product development. Parts are joined in different stations to form the final product (e.g., the vehicle body structure). Dimensional variation is a product attribute of major importance that characterizes quality, and is mainly affected by the variability of parts, fixtures, and joining methods at each of the multiple stations. The propagation of dimensional variation through the multistation ass… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
9
0

Year Published

2006
2006
2024
2024

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 8 publications
(9 citation statements)
references
References 24 publications
0
9
0
Order By: Relevance
“…Manarvi et al [11] and Li et al [12] defined a framework for tolerance synthesis, which considered the assembly architecture, the manufacturing process and the part deformability by finite element analysis (FEA).…”
Section: Variational Analysis With Compliant Partsmentioning
confidence: 99%
“…Manarvi et al [11] and Li et al [12] defined a framework for tolerance synthesis, which considered the assembly architecture, the manufacturing process and the part deformability by finite element analysis (FEA).…”
Section: Variational Analysis With Compliant Partsmentioning
confidence: 99%
“…Augmented Lagrangian uses an additional penalty in addition to the quadratic objective function as shown in equation (4). The 位 are the Lagrange multipliers and their existence have shown to improve the efficiency of ATC for ill-conditioned cases.…”
Section: Atc With Linear Subsystemsmentioning
confidence: 99%
“…4. The LATC top-down iteration 4 . Upon receiving the responses from the lower levels, equation (18) is re-run with the updated R 1,(k) 1 = R 1 * 1 The LATC for iteration k will converge at this point since all subsystems are linear and no further improvements can be made.…”
Section: Latc Formulationmentioning
confidence: 99%
See 1 more Smart Citation
“…This strategy, known as the influence coefficients method, has been applied with success to multiple problems, see e.g. (Dahlstr枚m and Lindkvist 2006;Li et al 2004;Lindau et al 2015). The method is applicable only if (i) the coefficient of variation associated with the uncertain dimensions is sufficiently small (in order they have no effects on the stiffness matrix); (ii) the materials behavior is linear (or the strain is sufficiently small to have a linear material behavior).…”
Section: Introductionmentioning
confidence: 99%