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作 者:王新铭 党开放[1] 马艺涛 朱宁迪 陆蕾键 谢鹏程[1,3,4] 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)
机构地区:[1]北京化工大学机电工程学院,北京100029 [2]海天塑机集团有限公司,浙江宁波315801 [3]北京化工大学,有机无机复合材料国家重点实验室,北京100029 [4]北京化工大学,人工智能交叉研究中心,北京100029
出 处:《塑料工业》2023年第11期15-20,共6页China Plastics Industry
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.
分 类 号:TQ320.66[化学工程—合成树脂塑料工业]
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