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
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
中文摘要
Polycon是一家位于安大略圭尔夫的大型汽车制造厂。它是麦格纳外部部门的一部分,专门生产聚合物为基础的车身部件,如筋膜。它有大约1400名员工。其核心竞争力包括塑料,EPP [膨胀聚丙烯],碳纤维模塑,油漆和组装。EPP部门通过使用蒸汽和卧式成型机将原始珠粒熔融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,并随机地福尔斯落在传送带上,传送带将零件带到操作员处。操作员的功能包括分拣、检查和将部件运送到轨道和从轨道运送部件以及包装。检查方面确保生产的零件符合客户规定的适当重量和尺寸要求。 EPP部门每年生产数百万个零件。
质量控制的现状是被动的。在模塑工艺的每个阶段(灌装、蒸汽处理、冷却)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类不可能识别可能导致生产质量差的部件的负面趋势和异常。该项目的目标是开发一个自动化的实时系统,用于过程监控,可以预测最终产品的质量,消除人工检查的需要。在后期阶段,该系统将实时监控过程,并在可能的情况下提供纠正措施,以避免生产出有缺陷的零件。这种积极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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