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Concept optimization for mechanical product using Genetic Algorithm

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Abstract

Conceptual design is the first step in the overall process of product design. Its intrinsic uncertainty, imprecision, and lack of information lead to the fact that current conceptual design activities in engineering have not been computerized and very few CAD systems are available to support conceptual design. In most of the current intelligent design systems, approach of principle synthesis, such as morphology matrix, bond graphic, or design catalogues, is usually adopted to deal with the concept generation, in which optional concepts are generally combined and enumerated through function analysis. However, as a large number of concepts are generated, it is difficult to evaluate and optimize these design candidates using regular algorithm. It is necessary to develop a new approach or a tool to solve the concept generation. Generally speaking, concept generation is a problem of concept synthesis. In substance, this process of developing design candidate is a combinatorial optimization process, viz., the process of concept generation can be regarded as a solution for a state-place composed of multi-concepts. In this paper, genetic algorithm is utilized as a feasible tool to solve the problem of combinatorial optimizalion in concept generation, in which the encoding method of morphology matrix based on function analysis is applied, and a sequence of optimal concepts are generated through the search and iterative process which is controlled by genetic operators, including selection, crossover, mutation, and reproduction in GA. Several crucial problems on GA are discussed in this paper, such as the calculation of fitness value and the criteria for heredity termination, which have a heavy effect on selection of better concepts. The feasibility and intellectualization of the proposed approach are demonstrated with an engineering case. In this work concept generation is implemented using GA, which can facilitate not only generating several better concepts, but also selecting the best concept. Thus optimal concepts can be conveniently developed and design efficiency can be greatly improved.

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References

  1. Ermer, G., Rosenberg, R. et al., 1993, “Steps toward Integrating Function-based Models and Bond-graphs for Conceptual Design in Engineering,”Automated Modeling for Design, ASME, Vol.47, No. 11, pp. 47–62.

  2. Hoeltzel, DA. and Chieng, W. H., 1990, “Knowledge-based Approaches for the Creative Synthesis of Mechanisms,”Computer Aided Design, Vol. 22, No. 1, pp. 57–67.

  3. Huang, H., Zhao, Z. and Guan, L., 2002, “Intelligent Conceptual Design Based on Genetic Algorithm,”Journal of Computer-aided Design & Computer Graphics, Vol. 14, No. 5, pp. 437–441.

  4. Koza, JR., 1992, Genetic Programming: on the Programming of Computers by means of Natural Selection, The MIT Press, Cambridge, pp. 94–99.

  5. Lim, O. K., Hong, K. S., Lee, H. S. et al., 2004, “Initial Design Domain Reset Method for Genetic Algorithm with Parallel Processing,”KSME International Journal, Vol. 18, No. 7, pp. 1121–1130.

  6. Park, J. H. and Seo, K. K., 2003, “Approximate Life Cycle Assessment of Product Concepts Using Multiple Regression Analysis and Artificial Neural Networks,”KSME International Journal, Vol. 17, No. 12, pp. 1969–1976.

  7. Redfield, R. C. and Krishnan, S., 1992, “Towards Automated Conceptual Design of Physical Dynamic Systems,”J of Engineering Design, Vol. 3, No. 3, pp. 187–204.

  8. Shu, Q. and Hao, B., 2002, “An Automatic Conceptual Design System for Mechanical Products,”China Mechanical Engineering, Vol. 13, No. 19, pp. 1676–1678.

  9. Yao, Z., Huang, Z. and Shen, G., 1998, “Study on the Structure Catalogues for Conceptual Design of Mechanical Transmission,”China Mechanical Engineering, Vol. 9, No. 6, pp. 53–55.

  10. Zhou, M. and Sun, S., 1999, Genetic Algorithm: Principle and Application, National Defence Industry Press, Beijing, pp. 45–59.

  11. Zou, H., Tian, Y., Guo, W. et al., 2003, “Methodology for Conceptual Designof Mechanism System,”J of Shanghai Jiaotong University, Vol. 37. No. 5, pp. 668–673.

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Author information

Correspondence to Hong-Zhong Huang or Rui-Feng Bo or Xiang-Feng Fan.

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Huang, H., Bo, R. & Fan, X. Concept optimization for mechanical product using Genetic Algorithm. J Mech Sci Technol 19, 1072–1079 (2005). https://doi.org/10.1007/BF02984028

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Key Words

  • Conceptual Design
  • Genetic Algorithm
  • Optimization
  • Concept Generation
  • Intelligence