A case study of efficient tolerance synthesis in product assemblies under loading

Mazur, M, Leary, M and Subic, A 2014, 'A case study of efficient tolerance synthesis in product assemblies under loading', in Miko Laakso, Kalevi Ekman (ed.) Proceedings of the10th biannual NordDesign Conference - Creating Together, Espoo, Finland, 27-29 August 2014, pp. 855-864.


Document type: Conference Paper
Collection: Conference Papers

Title A case study of efficient tolerance synthesis in product assemblies under loading
Author(s) Mazur, M
Leary, M
Subic, A
Year 2014
Conference name DS 81: NordDesign 2014
Conference location Espoo, Finland
Conference dates 27-29 August 2014
Proceedings title Proceedings of the10th biannual NordDesign Conference - Creating Together
Editor(s) Miko Laakso, Kalevi Ekman
Publisher Aalto University
Place of publication Espoo, Finland
Start page 855
End page 864
Total pages 10
Abstract Modelling the effects of loads on mechanical assemblies in statistical tolerance analysis typically requires the use of computationally demanding numerical simulations. The associated Uncertainty Quantification (UQ) methods used for estimating yield are typically based on robust, yet computationally inefficient Monte Carlo (MC) simulation. Identifying optimum tolerances with tolerance synthesis requires multiple iterations of tolerance analysis. When combined with expensive numerical simulation of loading effects and a large number of model evaluation required by MC simulation, the computational cost can increase beyond practical limits. However, Polynomial Chaos Expansion (PCE) UQ methods have been under recent development which offers higher efficiency than MC sampling. PCE has been recently implemented in a Process Integration and Design Optimization (PIDO) tolerance synthesis approach for assemblies subject to loading. This work reports on an industry-based tolerance synthesis case study which demonstrates the high computational cost reductions achievable with the developed PCE based PIDO approach. The demonstrated approach can be adopted to effectively increase product robustness and manufacturing efficiency.
Subjects Numerical Modelling and Mechanical Characterisation
Keyword(s) Variation
uncertainty
robustness
Copyright notice © Copyright: Design Society and Aalto University
ISBN 9781904670582
Versions
Version Filter Type
Access Statistics: 144 Abstract Views  -  Detailed Statistics
Created: Tue, 17 Nov 2015, 10:15:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us