摘要
随着塑料制品在航天军工、交通电子等领域的广泛应用,其几何精度和服役性能的要求在不断提升。注塑机作为塑料成型的主要加工装备,在连续化、快节拍的生产工况下,由于设备关键元件不可避免的磨损、冲击等会导致成型精度下降,进而使得产品出现缺陷。本文综述了注塑机故障诊断技术的发展现状,针对注塑机的故障诊断,从基于数学模型、经验知识和数据驱动三类故障诊断技术总结了当前的研究进展,最后对注塑机故障诊断的发展进行了展望。
With the widespread application of plastic products in aerospace,military industry,transportation,electronics and other fields,the requirements for geometric precision and service performance were constantly increasing.As the main processing equipment for plastic molding,injection molding machines were subject to unavoidable wear and impact on critical components under continuous and fast-paced production conditions,leading to a decrease in molding accuracy and product defects.This article reviewed the current development status of injection molding machine fault diagnosis technology and summarized the current research progress for injection molding machine fault diagnosis based on three types of techniques:mathematical modeling,empirical knowledge,and data-driven approaches.Finally,an outlook on the development of injection molding machine fault diagnosis was presented.
作者
王新铭
党开放
马艺涛
朱宁迪
陆蕾键
谢鹏程
WANG Xinming;DANG Kaifang;MA Yitao;ZHU Ningdi;LU Leijian;XIE Pengcheng(College of Mechanical and Electrical Engineering,Beijing University of Chemical Technology,Beijing 100029,China;Haitian Plastics Machinery Group Co.,Ltd.,Ningbo 315801,China;State Key Laboratory of Organic-Inorganic Composites,Beijing University of Chemical Technology,Beijing 100029,China;Interdisciplinary Research Center for Artificial Intelligence,Beijing University of Chemical Technology,Beijing 100029,China)
出处
《塑料工业》
CAS
CSCD
北大核心
2023年第11期15-20,共6页
China Plastics Industry
关键词
注塑机
故障诊断
数学模型
经验知识
数据驱动
Injection Molding Machines
Fault Diagnosis
Mathematical Models
Empirical Knowledge
Data-driven
