Title
Interpretable Interval Constraint Solvers In Semantic Tolerance Analysis
Keywords
Generalized interval; Quantified interval constraint satisfaction; Tolerance analysis
Abstract
A semantic tolerance modeling scheme based on generalized intervals was recently proposed to allow for embedding more tolerancing intents in specifications with a combination of numerical intervals and logical quantifiers. By differentiating a priori and a posteriori tolerances, the logic relationships among variables can be interpreted, which is useful to verify completeness and soundness of numerical estimations in tolerance analysis. In this paper, we present a semantic tolerance analysis approach to estimate tolerance stack-ups. New interpretable linear and nonlinear constraint solvers are developed to ensure interpretability of variation estimations. This new approach enhances traditional numerical analysis methods by preserving logical information during computation such that more semantics can be derived from numerical results. © 2008 CAD Solutions, LLC.
Publication Date
12-1-2008
Publication Title
Computer-Aided Design and Applications
Volume
5
Issue
5
Number of Pages
654-666
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.3722/cadaps.2008.654-666
Copyright Status
Unknown
Socpus ID
73349129986 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/73349129986
STARS Citation
Wang, Yan, "Interpretable Interval Constraint Solvers In Semantic Tolerance Analysis" (2008). Scopus Export 2000s. 9340.
https://stars.library.ucf.edu/scopus2000/9340