中国机械工程

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基于实验设计与数据分析的金属热挤压成形比能耗优化

李洪丞;马国喜;罗蓉;罗志勇   

  1. 重庆邮电大学先进制造工程学院,重庆,400065
  • 出版日期:2019-08-10 发布日期:2019-08-14
  • 基金资助:
    国家自然科学基金资助项目(U1501248,51805066);
    重庆市自然科学基金资助项目(cstc2018jcyjAX0579)

Optimization of Forming Specific Energy of Metal Hot Extrusion Based on DOE and Data Analysis

LI Hongcheng;MA Guoxi;LUO Rong;LUO Zhiyong   

  1. College of Advanced Manufacturing Engineering,Chongqing University of Posts and Telecommunications,Chongqing,400065
  • Online:2019-08-10 Published:2019-08-14

摘要: 为降低金属挤压成形阶段能耗,以挤压成形比能耗为目标,建立热平衡约束条件等价方程,以铝棒起始温度、铝棒长度、挤压速度、挤压筒温度、模角等为控制变量,以热导率、材料强度系数为扰动变量,集成利用实验设计(DOE)与数据分析等方法构建热平衡约束的挤压成形比能耗鲁棒优化模型。结果表明,在热平衡约束以及多参数控制环境下,通过鲁棒优化可降低挤压成形比能耗,而且可以保证产品质量的稳定性。

关键词: 热挤压, 比能耗, 鲁棒优化, 实验分析, 参数优化

Abstract: In order to reduce the energy consumption of metal extrusion forming stages, a robust optimization model of forming specific energy consumption with the control variables such as initial temperature, length of the aluminum bar, extrusion speed, extrusion temperature, and die angle was proposed by using thermal conductivity and material strength coefficient as disturbance varibales  based on DOE and data analysis model. Furthermore, thermal equilibrium constraints equivalent equation was established in the robust optimization model. Results show that even though the extrusion forming is constrained by thermal equilibrium and controlled by multi-parameters, the proposed robust optimization model also may reduce the energy consumption and simultaneously guarantee the product quality.

Key words: hot extrusion, specific energy consumption, robust optimization, design of experiment(DOE), parameter optimization

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