Journal of Advanced Marine Engineering and Technology

  • 제34권7호
  • /
  • Pages.971-980
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  • 2010
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  • 2234-7925(pISSN)
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  • 2234-8352(eISSN)
한국마린엔지니어링학회 (The Korean Society of Marine Engineering)
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Optimal Inner Case Design for Refrigerator by Utilizing Artificial Neural Networks and Genetic Algorithm

  • Zhai, Jianguang (Mechanical and Information Engineering, Korea Maritime University) ;
  • Cho, Jong-Rae (Mechanical and Information Engineering, Korea Maritime University) ;
  • Roh, Min-Shik (Underwater Vehicle Research Center)
  • 투고 : 2010.10.12
  • 심사 : 2010.11.30
  • 발행 : 2010.11.30
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초록

In this paper, an artificial neural network (ANN) was employed to build a predicting model for refrigerator structure. The predicting model includes three input variables of the plaque depth (D), width (W) and interval distance(S) on the inner wall. Finite element method was utilized to obtain the data, which would be necessary for the ANN training process. Finally, a genetic algorithm (GA) was applied to find the optimal parameters that leaded to the minimum inner case deformation under operating condition. The optimal combination found is the depth(D) of 2.63mm, the width(W) of 19.24mm and the interval distance(S) of 49.38mm which leaded to the smallest deformation of 1.88mm for the given refrigerator model.

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참고문헌

  1. YANG Zhou-ni, WU Zuo-wei, and LEI Tie-an, "A comparision between ANSYS optimization and GA in the truss structure", Control Theory and Applications, vol.23, no.7, pp.6-12, 2004.
  2. Whirlpool Corporation, "Method and apparatus for manufacture of plastic refrigerator liners", United States Patent, 5269601, Dec. 14, 1993.
  3. Jian-Guang Zhai and JongRae Cho, "ANSYS' parametric design based on VB and its application in thermal deformation analysis of refrigerator", Korean Society for Precision Engineering Conference, pp.145-149, 2009.
  4. Holland, J.H., "Adaptation in natural and artificial systems", University of Michigan Press, Ann Arbor, MI. pp.150,1975.
  5. Goldberg, D.E.(Ed.), "Genetic algorithms in search optimization and machine learning", Addison-Wesley Professional, pp.225,1989.
  6. MATLAB's User Guide, The MathWorks Inc., 3 Apple Hill Drive, Natick, MA, 1999.

피인용 문헌

  1. 열변형 해석을 이용한 냉장고 수축팽창 소음저감 vol.38, pp.3, 2010, https://doi.org/10.7776/ask.2019.38.3.344