| 挤出吹塑中空成型工艺参数的多目标优化 |
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| 引用本文： | 赖家美,柳和生,包忠诩,黄汉雄.挤出吹塑中空成型工艺参数的多目标优化[J].中国塑料,2007,21(9):63-66. |
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| 作者姓名： | 赖家美 柳和生 包忠诩 黄汉雄 |
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| 作者单位： | [1]南昌大学机电工程学院,江西南昌330029 [2]上饶师范学院,江西上饶334001 [3]华南理工大学工业装备与控制工程学院,广东广州510640 |
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| 摘 要： | 以挤出吹塑中空制品品质（制品壁厚分布、制品质量）和生产效率为最终的优化目标，成型工艺参数为设计变量，基于混合人工神经网络和遗传算法建立了挤出吹塑中空成型工艺参数的多目标优化系统。此方法不仅可确定满足实际生产需要的初始成型工艺参数，减少用于确定初始成型工艺参数的时间，而且为挤出吹塑中空成型的工艺参数的确定提供了理论依据，为挤出吹塑中空成型生产的全自动化的实现奠定了基础。
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| 关 键 词： | 挤出吹塑中空成型 神经网络 遗传算法 工艺参数 多目标优化 |
| 文章编号： | 1001-9278（2007）09-0063-04 |
| 修稿时间： | 2007-06-15 |
Multi-goal Optimization of Process Parameters in Extrusion Blow Molding |
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| LAI Jia-mei, LIU He-sheng, BAO Zhong-xu, HUANG Han-xiong.Multi-goal Optimization of Process Parameters in Extrusion Blow Molding[J].China Plastics,2007,21(9):63-66. |
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| Authors: | LAI Jia-mei LIU He-sheng BAO Zhong-xu HUANG Han-xiong |
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| Affiliation: | 1. College of Mechanical and Electronic Engineering, Nanchang University, Nanchang 330029, China; 2. Shangrao Normal College, Shangrao 334001, China; 3. College of Industrial Equipment and Control Engineering, South China University of Technology, Guangzhou 510640, China |
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| Abstract: | A muhi-goal optimization system of process parameters in extrusion blow molding was formulated for optimum part thickness distribution, part weight, and productivity based on a hybrid neural networks and genetic algorithm. The process parameters solved from this system were confirmed to be optimal. The method could not only determine reliable initial process parameters and reduce the calculation time, but also provide the theory basis in the realization of automatic production in extrusion blow molding. |
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| Keywords: | extrusion blow molding neural network genetic algorithm process parameter multi-goal optimization |
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