DocumentCode :
1515802
Title :
Assemblability based on maximum likelihood configuration of tolerances
Author :
Sanderson, Arthur C.
Author_Institution :
Nat. Sci. Found., Arlington, VA, USA
Volume :
15
Issue :
3
fYear :
1999
fDate :
6/1/1999 12:00:00 AM
Firstpage :
568
Lastpage :
572
Abstract :
An assembly is defined by a configuration of parts of known geometries subject to tolerances in the pose, dimensions, and mating relations among part features. Using a tolerance model based on matrix transforms and Gaussian models of geometric variations, the pose and dimensional tolerance models are considered as a priori models of the assembly with nominal and variational components for both position and orientation. The mating relations are regarded as linear relational constraints, also with nominal and variational components. With this formulation, estimation of the configuration of parts may be posed as a maximum likelihood problem and solved by a Kalman filter algorithm. The resulting maximum likelihood configuration of the assembly may be used to evaluate the required deviation from nominal and the assemblability as defined by the maximum likelihood clearance from constraints. In addition, application of the technique to intermediate subassemblies may be used to evaluate assemblability of specific steps and discriminate among alternative assembly sequence plans
Keywords :
Gaussian distribution; Kalman filters; assembly planning; design for manufacture; filtering theory; matrix algebra; maximum likelihood estimation; Gaussian models; Kalman filter algorithm; assemblability; dimensional tolerance model; geometric variations; intermediate subassemblies; linear relational constraints; mating relations; matrix transforms; maximum likelihood tolerance configuration; pose tolerance model; tolerance model; variational components; ANSI standards; Assembly; Fixtures; Information geometry; Manufacturing; Maximum likelihood estimation; Product design; Solid modeling; Stability; Uncertainty;
fLanguage :
English
Journal_Title :
Robotics and Automation, IEEE Transactions on
Publisher :
ieee
ISSN :
1042-296X
Type :
jour
DOI :
10.1109/70.768188
Filename :
768188
Link To Document :
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