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基于单件标识的锻造铝合金车轮质量追溯技术
英文标题:Quality traceability technology of forged aluminum alloy wheels based on single piece identification
作者:袁超 张承基 孙勇 邓盛彪 孙伟领 
单位:北京机电研究所有限公司 华安正兴车轮有限公司 
关键词:单件追溯 单件标识 激光刻码 锻造铝合金车轮 MES 
分类号:TP273
出版年,卷(期):页码:2020,45(5):25-33
摘要:
为满足锻造铝合金车轮企业对产品质量信息的可追溯性要求,提出了一套基于激光刻码的单件标识的全流程质量追溯技术。在介绍激光刻码原理的基础上,通过单件标识识别率的高低来校对不同生产单元的最佳刻码位置。在生产单元内,使用逻辑堆栈的方式将虚拟码和生产过程的质量数据进行绑定;在生产单元外,利用实体码对接制造执行系统(MES),保证追溯信息的完整性和连贯性。结合锻造铝合金车轮产品和生产的特点,定义了可追溯性的范围和流程,提出建立以单件追溯为核心的追溯方法,实现对产品的全过程追溯管理。
In order to meet the traceability requirements of forged aluminum alloy wheel companies on product quality information, a set of full-process quality traceability technology based on laser-engraved single-piece identification was proposed, and on basis of introduction of laser engraving principle, the optimal engraving position of different production units was checked by the level of identification rate of single piece identification. Then, in the production unit, the virtual code was bound to the production process quality data by the logical stack, and outside the production unit, the MES manufacturing execution system was connected by the physical code to ensure the integrity and continuity of traceability information. Combined with the characteristics of forged aluminum alloy wheel and production, the scope and process of traceability were defined, and the establishment of a traceability method with single piece traceability as the core was proposed to realize the traceability management for the entire process of product.
基金项目:
智能制造新模式应用项目(工信部联装[2016] 213号)
作者简介:
袁超(1992-),男,硕士研究生,E-mail:804785930@qq.com;通讯作者:孙勇(1971-),男,博士,研究员,E-mail:sun_yong_89@163.com
参考文献:
[1]贺亚楠,齐金平.车轮产品质量可追溯性管理的研究[J]. 机电技术,2017,(1):117-120.
He Y N, Qi J P. Research and design of wheel product quality management system based on lifecycle [J]. Mechanical & Electrical Technology, 2017, (1): 117-120.
[2]马钊,袁唐青,尤东晟,等.发挥召回制度正能量,提升汽车安全质量[J].中国质量,2016,(2):92-95.
Ma Z, Yuan T Q, You D S, et al. Using the positive energy of the recall system to improve the quality of automobile safety[J].China Quality, 2016, (2): 92-95.
[3]郭晓刚,李娟.论中国缺陷汽车召回制度——以大众汽车召回案为例[J].西安石油大学学报: 社会科学版, 2015,24(6):63-67.
Guo X G, Li J. On China defective auto recall systemwith a case of volkswagen recall [J]. Journal of Xi′an Shiyou University: Social Sciences, 2015,24 (6): 63-67.
[4]日本本田公司发布下一代创新性气囊,减少正面碰撞伤害[J].军民两用技术与产品,2019,(9):69.
Japan′s Honda released the next generation of innovative airbags to reduce frontal collision damage [J]. Dual Use Technologies & Products, 2019, (9): 69.
[5]刘伟.基于MES的质量信息管理与质量追溯系统研究[D]. 济南:山东大学,2012.
Liu W. The Research on Quality Information Management and Quality Traceability System Based on MES [D]. Jinan: Shandong University, 2012.
[6]叶明海,赵敏.缺陷汽车产品召回的批次性质量追溯方法[J].汽车工程,2006,28(6):595-597,601.
Ye M H, Zhao M. Quality tracing for the recall of defective automotive products based on lot management[J]. Automotive Engineering, 2006, 28(6): 595-597, 601.
[7]陈晓明. 面向离散制造的订单跟踪与产品质量追溯系统研究[D]. 杭州:浙江大学,2010.
Chen X M. Research on Order Tracking and Product Quality Tracing System for Discrete Manufacturing [D]. Hangzhou: Zhejiang University, 2010.
[8]雷正龙,田泽,陈彦宾.工业领域的激光清洗技术[J]. 激光与光电子学进展,2018,55(3):60-72.
Lei Z L, Tian Z, Chen Y B. Laser cleaning technology in the industrial field [J]. Laser & Optoelectronics Progress, 2018, 55 (3): 60-72.
[9]凌云汉. 锻造铝合金车轮单件全流程质量追溯系统关键技术研究[D]. 北京:机械科学研究总院集团有限公司,2018.
Ling Y H. Research on the Technology of the Whole Process Quality Traceability System for Single Forging Aluminum Alloy Wheel [D] .Beijing: China Academy of Machinery Science and Technology Group Co.,Ltd., 2018.
[10]王刚. 脉冲激光清洗对铝合金表面形貌及焊接质量的影响研究[D]. 长沙:湖南大学,2018.
Wang G. Study on Effect of Pulse Laser Cleaning on Surface Morphology and Welding Quality of Aluminum Alloys [D]. Changsha: Hunan University, 2018.
[11]陈一鸣,周龙早,闫飞,等.铝合金激光清洗机理与质量评估[J]. 中国激光,2017,44(12):87-94.
Chen Y M, Zhou L Z, Yan F, et al. Laser cleaning mechanism and quality evaluation of aluminum alloy [J]. Chinese Journal of Lasers, 2017, 44 (12): 87-94.
[12]李潇. 基于机器视觉数据采集的MES关键技术研究[D]. 杭州:浙江大学,2019.
Li X. Research on Key Technology of MES Based on Machine Vision Data [D]. Hangzhou: Zhejiang University,2019.
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