Journal of the Korean Society for Precision Engineering (한국정밀공학회지)

Korean Society for Precision Engineering (한국정밀공학회)
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A Study on the Topology Optimization of the fixed Address Type ATC frame Using a Real Number Coding Genetic Algorithm

실수코딩 유전자알고리즘을 이용한 고정번지식 ATC 프레임의 토폴로지 최적화에 관한 연구

  • 허영진 (창원대학교 기계설계공학과 대학원) ;
  • 임상헌 (창원대학교 기계설계공학과 대학) ;
  • 이춘만 (창원대학교 기계설계공학과)
  • Published : 2004.09.01
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Abstract

Recently, many studies have been undergoing to reduce working time in field of machine tool. There are two ways of reducing working time to reduce actual working time by heighten spindle speed and to reduce stand-by time by shortening tool exchange time. Auto tool changer belongs to latter case. Fixed address type auto tool changer can store more number of tools in small space than magazine transfer Ope and can shorten tool exchange time. This study focuses on the topology optimization to reduce the weight of the fixed address type ATC. The optimization program using a real number coding genetic algorithm is developed and is applied to the 10-bar truss optimization problem to verify the developed program. And, it is shown that the developed program gives better results than other methods. Finally, The developed program applied to optimize the fixed address type ATC.

Keywords

References

  1. Reddy, C. P. and Rao, S. S., 'Automated optimum design of machine tool structures for static and natural frequencies at regenerative chatter stability,' ASME Journal of Engineering for industry, Vol. 100, pp. 137-146, 1987 https://doi.org/10.1115/1.3439401
  2. Yoshimura, M., 'Design Optimization of Machine Tool Dynamics Based on an Explanation of Relationships between Characteristics,' JSPE, Vol. 53, No. 4, pp. 601-606, 1987
  3. Lee, Won Chang, Seong, Hwal Gyeong, 'A Study of A design Optimization Problem with Many Design Variables Using Genetic Algorithm,' KSPE, Vol. 20, No. 11, pp. 117-126, 2003
  4. Deb, K., 'Optimal design of a welded beam structure via genetic algorithms,' AIAA Journal, 29 (II), pp. 2013-2015, 1991 https://doi.org/10.2514/3.10834
  5. Deb, K. and Agrawal, R. B., 'Simulated binary crossover for continuous search space,' Complex Systems 9, pp. 115-148, 1995
  6. Deb, K. and Kumar, A., 'Real-coded genetic algorithms with simulated binary crossover:studies on multimodal and multi-objective problems,' Complex Systems 9 (6), pp. 431-454, 1995
  7. Baek, W. T., Seong, H. G., 'The Optimization of sizing and topology design for drilling machine by genetic algorithm,' J. of the KSPE, Vol. 14, No. 12, pp. 25-27, 1997
  8. Michalewicz, Z., 'Genetic algorithms, numerical optimization, and constraints,' Proceedings of the Sixth international Conference on Genetic Algorithms, Morgan Kauffman, San Mateo, pp. 151-158, 1995
  9. Belegundu, A. D., 'A study of mathematical programming methods for structural optimization,' PH. D. thesis, Department of Civil and Environmental, University of Iowa, 1982
  10. Michalewicz, Z., 'Genetic Algorithms + Data Structures = Evolution programs,' Springer-Verlag, 1996