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基于遗传模拟退火算法的注塑机增力机构优化研究 被引量:2

Optimal Research on Force Increasing Mechanism of Injection Machine Based on Genetic Simulated Annealing Algorithms
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摘要 对注塑机五铰链斜排双曲肘增力机构进行了运动和力学特性分析,采用遗传模拟退火算法对该增力机构进行了优化设计,以机构行程比较大、力的放大倍数较大和机构总长较小为目标函数建立了优化数学模型,该优化设计属于多目标函数优化问题,通过对增力机构实例优化计算与传统设计方法进行了比较,结果表明行程比增加5.97%,力的放大倍数增加14.10%,机构总长减小5.25%。 The analysis of motion and mechanical property was carried out on a force increasing mechanism of injection machine which was five hinged incline arranged and double elbowed. A complete optimization design procedure was carried out using genetic simulated annealing algo- rithms, so as to increase the stroke ratio and the amplification of the force, and to decrease the to- tal length of mechanism. Its optional mathematics model was established. The procedure of opti- mal design belongs to multi-object optimization problem. The optimal solfition of the force increas- ing mechanism was found with genetic simulated annealing algorithms. Compared with the tradi- tional methods, the stroke ratio was increased by 5.97%, the amplification of the force increased by 14. 10 %, and the total length of mechanism decreased by 5.25%.
出处 《中国塑料》 CAS CSCD 北大核心 2012年第2期99-103,共5页 China Plastics
关键词 遗传模拟退火算法 优化设计 行程比 增力机构 注塑机 genetic simulated annealing algorithm optimal design stroke ratio force increasing mechanism iniection machine
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参考文献6

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