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Developing an on-line monitoring and quality assurance system for Expanded Polypropylene process

Developing an on-line monitoring and quality assurance system for Expanded Polypropylene process
开发发泡聚丙烯工艺的在线监控和质量保证系统
批准号:
472230-2018
负责人:
Moussa, Medhat
金额:
$4.33万
依托单位:
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2020
资助国家:
加拿大
项目状态:
已结题
起止时间:
2020-01-01 至 2021-12-31

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中文摘要
翻译
Polycon 是一家位于安大略省贵湖市的大型汽车工厂。它是麦格纳外饰部门的一部分,专门生产基于聚合物的车身部件,如仪表板。它有大约1400名员工。其核心竞争力包括塑料、EPP [发泡聚丙烯]、碳纤维成型、涂装和组装。 EPP 部门通过使用蒸汽和卧式成型机将原始珠熔合成几何形状来制造能量吸收器和座椅产品。成品从机器中弹出,随机落到传送带上,传送带将零件运送给操作员。操作员功能包括分类、检查、将零件运输至轨道和从轨道运输以及包装。检查方面确保生产的零件符合客户指定的适当重量和尺寸要求。 EPP 部门每年生产数百万个零件。 当前的质量控制状态是被动的。在成型过程的每个阶段(填充、汽蒸、冷却)都会跟踪和记录制造工艺参数,并在检查过程中发现缺陷后根据需要进行手动调整。被跟踪的大量变量使得人们无法识别可能导致生产劣质零件的负面趋势和异常情况。该项目的目标是开发一种用于过程监控的自动化实时系统,该系统可以预测最终产品的质量,从而无需进行手动检查。在稍后阶段,系统将实时监控流程,并在可能的情况下提供纠正措施,以避免生产有缺陷的零件。这种主动的质量控制方法将对 Polycon 的质量保证和整体生产效率产生重大的积极影响。
英文摘要
Polycon is a major automotive plant located in Guelph, Ontario. It is part of Magna Exterior division and specializes in manufacturing polymer based body parts like fascia. It has around 1400 employees. Its core competencies include plastic, EPP [expanded polypropylene], carbon fibre moulding, painting, and assembly. The EPP department manufactures energy absorbers and seating products by fusing raw beads into geometric shapes using steam and horizontal molding machines. The finished product is ejected from the machine and falls randomly onto a conveyor which brings the parts to an operator. The operator function includes sorting, inspecting, and transporting parts to and from rails, and packing. The inspection aspect ensures that parts produced are within proper weight and dimensional requirements as specified by the customer. The EPP department produces several million parts per year. The current state of quality control is reactive. The manufacturing process parameters are tracked and recorded at each stage of the moulding process (filling, steaming, cooling), and are manually adjusted as necessary after defects have been found during the inspection process. The large number of variables being tracked makes it impossible for a human to identify negative trends and anomalies that can lead to the production of a poor quality part. The objective of this project is to develop an automated real-time system for process monitoring that can predict the quality of the end product eliminating the need for manual inspection. At a later stage, the system will monitor the process in real-time and provide, if possible, corrective measures to avoid producing a defective part. This proactive approach to quality control would have a significant positive impact on Polycon's quality assurance and overall production efficiency.
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