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Tolerance analysis — Form defects modeling and simulation by modal decomposition and optimization
- Source :
- Computer-Aided Design, Computer-Aided Design, Elsevier, 2017, 91, pp.46-59. ⟨10.1016/j.cad.2017.04.007⟩
- Publication Year :
- 2017
- Publisher :
- Elsevier, 2017.
-
Abstract
- International audience; Tolerance analysis aims on checking whether specified tolerances enable functional and assembly requirements. The tolerance analysis approaches discussed in literature are generally assumed without the consideration of parts’ form defects. This paper presents a new model to consider the form defects in an assembly simulation. A Metric Modal Decomposition (MMD) method is henceforth, developed to model the form defects of various parts in a mechanism. The assemblies including form defects are furtherassessed using mathematical optimization. The optimization involves two models of surfaces: real model and difference surface-base method, and introduces the concept of signed distance. The optimization algorithms are then compared in terms of time consumption and accuracy. To illustrate the methods and their respective applications, a simplified over-constrained industrial mechanism in three dimensions is also used as a case study.
- Subjects :
- Optimization
0209 industrial biotechnology
Engineering
Optimization algorithm
Tolerance analysis
Modal decomposition
business.industry
Mécanique [Sciences de l'ingénieur]
020207 software engineering
Signed distance function
02 engineering and technology
[SPI.MECA]Engineering Sciences [physics]/Mechanics [physics.med-ph]
Computer Graphics and Computer-Aided Design
Industrial and Manufacturing Engineering
Form defects
Computer Science Applications
Difference surface
Modeling and simulation
020901 industrial engineering & automation
Signed distance
Metric (mathematics)
0202 electrical engineering, electronic engineering, information engineering
business
Algorithm
Subjects
Details
- Language :
- English
- ISSN :
- 00104485
- Database :
- OpenAIRE
- Journal :
- Computer-Aided Design, Computer-Aided Design, Elsevier, 2017, 91, pp.46-59. ⟨10.1016/j.cad.2017.04.007⟩
- Accession number :
- edsair.doi.dedup.....72bbb6dc1685f42213b2d8e4e387dc06
- Full Text :
- https://doi.org/10.1016/j.cad.2017.04.007⟩