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Approximate Multi-Objective Optimization of Scroll Compressor Lower Frame Considering the Axial Load

축하중을 고려한 스크롤 압축기 하부 프레임의 최적설계

  • Kim, JungHwan (Department of Mechanical Engineering, Graduate School of Yonsei University) ;
  • Lee, Jongsoo (School of Mechanical Engineering, Yonsei University)
  • Received : 2014.12.23
  • Accepted : 2015.04.03
  • Published : 2015.06.15

Abstract

In this research, a multi-objective optimal design of a scroll compressor lower frame was approximated, and the design parameters of the lower frame were selected. The sensitivity of the design parameters was induced through a parameter analysis, and the thickness was determined to be the most sensitive parameter to stress and deflection. All of the design parameters regarding the mass are sensitive factors. It was formulated for the problem about stress and deflection to be caused by the axial load. The sensitivity of the design variables was determined using an orthogonal array for the parameter analysis. Using the central composite and D-optimal designs, a second polynomial approximation of the objective and constraint functions was formulated and the accuracy was verified through an R-square. These functions were applied to the optimal design program (NSGA-II). Through a CAE analysis, the effectiveness of the central composite and D-optimal designs was determined.

Keywords

References

  1. Choi, K. Y., 2000, Dynamic Behavior of an Orbiting Scroll in a Scroll Compressor Considering Lubrication Characteristics of a Thrust Bearing, A Thesis for a Master, Yonsei University, Republic of Korea.
  2. Kim, T. J., Ahn, Y. J., and Han, D. C. 1993, Dynamic Behavior Analysis of a Scroll Compressor Using a Radial Compliant Crank Mechanism, The Korean Society of Mechanical Engineers, 1:1 428-433.
  3. Choi, H. Y., Lee, J. S., Park, J, O., 2012, Approximate Multi-objective Optimization of robot Casting Considering Deflection and Weight, The Korean Society of Manufacturing Technology Engineers, 21:6 954-960. https://doi.org/10.7735/ksmte.2012.21.6.954
  4. Lee, J., Ahn, B., 2006, DOE Based Robust Optimization Considering Tolerance Bands of Design Parameters, JSME Series C, 49:4 1223-1231. https://doi.org/10.1299/jsmec.49.1223
  5. Fowlkes, William Y., 1995, Engineering Methods for Robust Product Design, Addison-Wesley, UK.
  6. Park, S. H., 1995, Modern Design of Experiments, Minyongsa, Republic of Korea.
  7. Hong, K. J., Jeon, K. K., Cho, Y. S., Choi, D. H., Lee, S. J., 2000, A Study on the Construction of Response Surface for Design Optimization, Trans. of the KSME(A), 24:6 1408-1418.
  8. Helwig, J. T., Ouncil, K. A., 1979, SAS user's guide: 1979 edition, SAS Institute.
  9. Deb, K., Pratap, A., Agarwal, S., Meyarivan, T., 2002, A Fast and Elitist Multi objective Genetic Algorithm: NSGA-II, IEEE Transactions on Evolutionary Computation, 6:2 182-197. https://doi.org/10.1109/4235.996017
  10. Triefenbach, F., 2008, Design of Experiments: The D-optimal Approach and Its Implementation as a Computer Algorithm, A Thesis for a Bachelor Degree, Information and Communication Technology, Umea University, Sweden.

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