• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2023, Vol. 59 ›› Issue (13): 238-245.doi: 10.3901/JME.2023.13.238

• 数字化设计与制造 • 上一篇    下一篇

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面向寿命定制的废旧产品再制造设计过程模型研究

江志刚1, 张俊辉1, 朱硕2, 鄢威3, 张华3   

  1. 1. 武汉科技大学冶金装备及其控制教育部重点实验室 武汉 430081;
    2. 武汉科技大学机械传动与制造工程湖北省重点实验室 武汉 430081;
    3. 武汉科技大学绿色制造工程研究院 武汉 430081
  • 收稿日期:2022-07-08 修回日期:2022-11-24 出版日期:2023-07-05 发布日期:2023-08-15
  • 通讯作者: 朱硕(通信作者),男,1989年出生,博士,副教授,硕士研究生导师。主要研究方向为绿色制造、再制造。E-mail:zhushuo@wust.edu.cn
  • 作者简介:江志刚,男,1978年出生,博士,教授,博士研究生导师。主要研究方向为绿色制造、再制造。E-mail:jzg100@163.com;张俊辉,男,1998年出生,硕士研究生。主要研究方向为绿色制造、再制造。E-mail:1844079070@qq.com;鄢威,男,1981年出生,博士,副教授,硕士研究生导师。主要研究方向为绿色制造。E-mail:yanwei81@wust.edu.cn;张华,女,1964年出生,博士,教授,博士研究生导师。主要研究方向为绿色制造、再制造、制造信息化。E-mail:zhanghua403@163.com
  • 基金资助:
    国家自然科学基金资助项目(52075396,51905392)。

Research on Design Process Model of Used Product Remanufacturing for Life Customization

JIANG Zhigang1, ZHANG Junhui1, ZHU Shuo2, YAN Wei3, ZHANG Hua3   

  1. 1. Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081;
    2. Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081;
    3. Academy of Green Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081
  • Received:2022-07-08 Revised:2022-11-24 Online:2023-07-05 Published:2023-08-15

摘要: 寿命定制是量化废旧产品再制造需求并保障再制造产品设计质量的重要途径。针对废旧产品再制造设计目标不明确、设计质量不稳定等问题,引入寿命定制策略提升再制造设计过程的可解释性、增强设计模型的导向作用,考虑设计需求与废旧产品自身失效特征对再制造设计过程的双重影响,基于产品质量功能展开(QFD)的思想创建再制造产品寿命定制设计屋模型,实现面向寿命定制的废旧产品再制造设计。在寿命定制设计屋模型的关键再制造设计参数分析模块中,建立设计需求和失效特征双向反馈的寿命影响因素相互关系矩阵,得到影响寿命的关键设计参数;在再制造设计参数的生成模块中,构建基于关键设计参数的BP神经网络寿命预测模型,并以定制寿命为优化目标,采用神经网络-果蝇优化算法(BP-FOA)将最接近定制寿命的再制造设计参数作为最优解输出。以典型家电产品电冰箱的再制造设计过程为例,对模型的有效性进行验证。

关键词: 再制造设计, 寿命定制, 设计过程模型, 客户需求, 失效特征

Abstract: Life customization is an important way to quantify the remanufacturing demand of used products and guarantee the quality of remanufactured products. Aiming at the problems of unclear remanufacturing design objectives and unstable design quality of used products, the life customization strategy is introduced to improve the interpretability of remanufacturing design process and enhance the guiding role of design model. The double influence of remanufacturing design requirements and failure characteristics of used products on remanufacturing design process is considered. Based on the concept of product quality function deployment (QFD), a life customization design house model of remanufactured products was established to support the life oriented remanufacturing design process of used products. In the key remanufacturing design parameter analysis module of the life customization design house model, the relationship matrix of the life influencing factors feedback from design requirements and failure characteristics was established, and the key design parameters affecting the life are obtained. In the generation module of remanufacturing design parameters, a BP neural network life prediction model is built based on key design parameters. Taking the customized life as the optimization target, the neural network fruit fly optimization algorithm (BP-FOA) is used to output the remanufacturing design parameters closest to the customized life as the optimal solution. Taking the remanufacturing design process of refrigerator as an example, the validity of the model was verified.

Key words: remanufacturing design, life customization, design process model, customer demand, failure characteristics

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