Abstract
Genetic algorithm has been applied to the problem of determining optimal joint solution of sheet panel assembly in the early design stage. The optimum sought is that for which an assembly of the components shows least variability, as measured by one or more relevant parameters (e.g., a key dimension) for a fixed set of tolerances. A skeleton representation of sheet panel assembly is proposed in order to provide basic support for the algorithm. Genetic coding and operators for the joint selection problem are developed with examination of the algorithm performance. The aim of the method is demonstrated by an example of a multiple parts assembly.
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References
Mantripragada R, Whitney DE (1999) Modeling and controlling variation propagation in mechanical assemblies using state transition models. IEEE Trans Robot Autom 15(1):124–140
Liu SC, Lee HW, Hu SJ (1997) Variation simulation for deformable sheet metal assemblies using mechanistic models. Trans NAMRI/SAE 23859:235–240
Cai W, Hu, SJ Yuan JX (1996) Deformable sheet metal fixturing: principles, algorithms and simulations. ASME J Manuf Sci Eng 118(3):318–324
Long YF (1998) CAVA manual. The University of Michigan, 8 Sept 1998
Merkeley KG, Chase KW, Perry E (1996) An introduction to tolerance analysis of flexible systems. MSC World Users’ Conference, Newport Beach, CA, June 1996
Stout JB (1998) Tolerance analysis of compliant assemblies. Dissertation, Brigham Young University, April 1998
Merkley KG (2000) Geometric covariance in compliant assembly tolerance analysis. Thesis, Brigham Young University, April 2000
Hsieh C, Ping OK (1997) A framework for modeling variation in vehicle assembly processes. Int J Vehicle Des 18(5) (Special Issue)
Cai W, Long Y, Hsieh C (2003) Variation simulations for digital panel assembly. Proc IMECE’03, ASME International Mechanical Engineering Congress, IMECE2003–42405
Hsieh C, Liang F (2002) Methods for flexible part clamping simulation and optimization. Proc IMECE2002, ASME International Mechanical Engineering Congress & Exposition, Number 17–22, New Orleans, LA, IMECE2002-MED–32340
Xie LS, Hsieh C (2002) Clamping and welding sequence optimization for minimizing cycle time and assembly deformation. Int J Mater Product Technol 17(5–6):389–399
Lee B, Saitou K (2002) Assembly synthesis for optimal in-process dimensional adjustability based on a joint library. Proc 2002 ASME International Conference on Engineering Design, ICED 03 Stockholm, 19–21 August 2002
EDS (2005) http://www.eds.com/products/plm/teamcenter/vis/VisVSA/UG/
Shen Z (2003) Tolerance analysis with EDS/ VisVSA/UG. J Comput Inf Sci Eng 3:95–99, (March)
Shiu BW, Ceglarek D, Shi J (1997) Flexible beam-based modeling of sheet metal assembly for dimensional control. Trans NAMRI/SME 25:49–54
Acknowledgements
The authors would like to thank The National Natural Science Foundation of China for the support in this research (Grant no. 50375092). In particular, the authors would like to express their gratitude to the General Motors Research & Development Center for the support in this research.
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Zhou, J., Chen, G., Lai, X. et al. A genetic algorithm to process-oriented optimization of joint configuration based on a skeleton model. Int J Adv Manuf Technol 32, 1245–1252 (2007). https://doi.org/10.1007/s00170-006-0426-5
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DOI: https://doi.org/10.1007/s00170-006-0426-5