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《中国工程科学》 >> 2020年 第22卷 第4期 doi: 10.15302/J-SSCAE-2020.04.017

一种基于制造大数据的产品工艺自适应设计方法

北京航空航天大学机械工程及自动化学院,北京100191

资助项目 :国家重点研发计划资助项目(2018YFB1701703);国家自然科学基金资助项目(51675028);中国工程院咨询项目“‘互联网+’行动计划战略研究(2035)”(2018-ZD-02) 收稿日期: 2020-05-26 修回日期: 2020-06-28 发布日期: 2020-08-11

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摘要

随着数字化与智能化生产方式在制造业中的广泛应用,引导企业重视并发挥制造大数据的价值对革新产品工艺设计具有重要意义。本文旨在面向企业数据与业务深度融合的应用需求,提出一种基于制造大数据挖掘的产品工艺自适应设计应用方法,用于解决企业中制造数据利用率不足等问题。以企业制造数据为起点,提出了“数据 + 知识 + 决策”的产品工艺自适应设计模式,总结了该模式的制造数据挖掘与利用流程,涵盖多源异构数据融合、数据清洗与预处理、数据变换与降维、数据挖掘、数据可视化和设计决策6个过程。最后以汽车产品焊接工艺为例,建立焊接工艺参数与焊接缺陷的预测模型,用于改善焊接工艺并提高焊接质量,实现制造大数据驱动的焊接工艺自适应设计。研究表明,制造大数据蕴含丰富的知识与模式,可以指导产品设计决策,支持实现不同制造环境下的产品工艺自适应设计;建议进一步推动大数据与第五代移动通信技术等新兴技术的结合,增加对大数据平台、算法设计平台研发的投入,激发制造大数据与产品工艺设计的更大交融。

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