期刊文献+

液-固挤压复合材料工艺参数的优化设计 被引量:3

OPTIMIZATION DESIGN FOR PROCESS PARAMETERS OF LIQUID-SOLID EXTRUSION TO PREPARE COMPOSITES
下载PDF
导出
摘要 提出了一种适宜于液-固挤压复合材料工艺系统的多目标优化模型.通过合理决策过程,将多目标转化为单目标优化进行求解.在对编码规则、初始种群的产生、目标函数向适配值的转换以及种群数量、交叉概率、变异概率选择等问题进行深入研究的基础上,建立了基于遗传算法的液-固挤压复合材料优化系统.理论及实验研究表明可以获得较好的优化增益.采用优化设计参数进行实验,成形出质量良好的复合材料制件,且实现了变形力小、浸渗时间较短和浇注温度较低的预期目标,为该工艺的实际应用奠定了基础. A multi-objective optimization model which is suitable for the technical system of liquid-solid extruding composites was proposed. In order to find a solution the multi-objective problem is converted into a single objective problem through a reasonable decision process. The profound investigation is conducted about the encode rules, the generation of initial popularity, the conversion from the object function to fitness value and the selection of cross or mutation probability. On this basis, the optimization system is established for liquid-solid extrusion to prepare composites. The theoretical and experimental researches show that the optimized gain can be achieved and the high quality products can be produced with the optimized parameters. The research realized the expected goal of low forming force and founded the base for the practical application of composite preparation.
出处 《金属学报》 SCIE EI CAS CSCD 北大核心 2005年第10期1025-1030,共6页 Acta Metallurgica Sinica
基金 国家自然科学基金 50175091 国防预研基金 51412010304HK0339 西北工业大学博士论文创新基金资助
关键词 遗传算法 优化 复合材料 半固态 genetic algorithm, optimization, composite, semi-solid state
  • 相关文献

参考文献13

  • 1Hu L X, Luo S J, Huo W C, Wang Z R. J Mater Proc Technol, 1995; 49:287.
  • 2罗守靖,田文彤,谢水生,毛卫民.半固态加工技术及应用[J].中国有色金属学报,2000,10(6):765-773. 被引量:174
  • 3Hu L X, Luo S J, Huo W C. Trans Nonfer Met Soc Chin,1996; 6(4): 133.
  • 4Qi L H, Li H J, Cui P L, Shi Z K. Trans Nonfer Met Soc Chin, 2003; 13:803.
  • 5Hu L X, Luo S J, Huo W C. Trans Nonfer Met Soc Chin,1995; 5(4): 146.
  • 6Qi L H, Li H J, Hou J J, Cui P L. J Mater Eng Perfor,2000; 9(1): 28.
  • 7Da R. Intelligent Hybrid Systems: Fuzzy Logic. Neural Networks, and Genetic Algorithms. Boston: Kluwer Academic Publishers, 1997:17.
  • 8Lin C C, Lee Y J. Compos Struct, 2004; 63:339.
  • 9Chung J S, Hwang S M. J Mater Proc Technol, 1997;72(1): 69.
  • 10马清亮,胡昌华,杨青.一种用于多目标优化的混合遗传算法[J].系统仿真学报,2004,16(5):1038-1040. 被引量:25

二级参考文献7

  • 1朱鸣芳,苏华钦.半固态金属成形技术工业应用现状与展望[J].中国机械工程,1995,6(4):24-26. 被引量:22
  • 2赵鸿.铝在汽车上的应用[J].汽车工艺与材料,1997(1):19-24. 被引量:32
  • 3Zitzler E. Evolutionary Algorithms for Multiobjective Optimization: Methods and Applications [D]. Switzerland: Swiss Federal Institute of Technology, 1999.
  • 4Mistuo G, Runwei C. Genetic Algorithms and Engineering Optimization [M]. New York: Wiley & Sons, 2000.
  • 5Deb K, Pratap A, Meyarivan T. Constrained Test Problems for Multi-objective Evolutionary Optimization [A]. First International Conference on Evolutionary Multi-Criterion Optimization [C]. Switzerland:Springer-Verlag, 2001. 284-298.
  • 6Deb K, Pratap A, Agarwal S, Meyarivan T. A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-Ⅱ [J]. IEEE Transactions on Evolutionary Computation, 2002,6(2):182-197.
  • 7罗守靖,田文彤.半固态金属塑性加工力学的研究进展[J].哈尔滨工业大学学报,2000,32(5):78-83. 被引量:12

共引文献212

同被引文献43

引证文献3

二级引证文献7

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部