Loading...

Meta-model based multi-objective optimisation method for computer-aided tolerance design of compliant assemblies

Khodaygan, S ; Sharif University of Technology | 2019

491 Viewed
  1. Type of Document: Article
  2. DOI: 10.1080/0951192X.2018.1543953
  3. Publisher: Taylor and Francis Ltd , 2019
  4. Abstract:
  5. Optimal tolerance design is a time-consuming and multi-disciplinary procedure and involves several aspects of design, manufacturing, quality and cost problems. In addition, the quality of assemblies can be significantly affected by the flexibility of components which has not been considered in most of the previous research. In this paper, a new method is proposed for multi-objective optimal tolerance design of compliant assemblies based on an integrated Kriging meta-modelling–NSGA-II–Shannon’s Entropy TOPSIS algorithm. The tolerance propagation of flexible components in the assembly process is modelled through the enhanced Method of Influence Coefficients (MIC). Geometrical variations of key characteristics are estimated through a Kriging model on the data generated from the enhanced MIC based on the finite element method. The overall manufacturing cost is minimised, while the geometric capability ratio (GCR), as a quality criterion, is maximised. To find the Pareto optimal front (POF), NSGA-II is applied. For ranking best alternatives of the POF based on multiple criteria, an improved Shannon’s Entropy-based TOPSIS is used. Finally, to verify and demonstrate the efficiency of the proposed method, a case study is considered with the results compared with Monte Carlo simulations and a conventional tolerance allocation method from the literature. © 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group
  6. Keywords:
  7. Compliant assemblies ; Computer-aided tolerance design ; Kriging meta-model ; Multi-objective evolutionary optimisation ; Shannon’s entropy–TOPSIS ; Entropy ; Evolutionary algorithms ; Fits and tolerances ; Intelligent systems ; Interpolation ; Manufacture ; Microwave integrated circuits ; Monte Carlo methods ; Pareto principle ; Compliant assembly ; Computer aided tolerance design ; Kriging meta models ; Multi-objective evolutionary ; Shannon ; Multiobjective optimization
  8. Source: International Journal of Computer Integrated Manufacturing ; Volume 32, Issue 1 , 2019 , Pages 27-42 ; 0951192X (ISSN)
  9. URL: https://www.tandfonline.com/doi/abs/10.1080/0951192X.2018.1543953