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GOALI: Self-Energized Micro Sensors for Process Monitoring of Injection Molding

GOALI: Self-Energized Micro Sensors for Process Monitoring of Injection Molding
GOALI:用于注塑成型过程监控的自供能微型传感器
批准号:
9988757
负责人:
Robert Gao
金额:
$30.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2000
资助国家:
美国
项目状态:
已结题
起止时间:
2000-09-01 至 2004-08-31

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中文摘要
翻译
这项研究的目的是使新一代远程传感器能够用于注塑过程的监测和控制。这项研究的动机是,目前在观察制造过程中的部件质量方面存在局限性,允许出现缺陷产品和成本低效。新的传感器将通过从聚合物熔体压力的增强和衰减中提取能量来自我供电,以产生和传输与成型过程中的变化相对应的信号脉冲。这种方法有望减少几个数量级的能源消耗。要研究的问题包括传感器设计、模拟、热传导、结构完整性、信号编码和最佳传输。这项研究代表着传感技术向前迈进了一大步,并有可能通过实现更好的成型控制算法来改变工业成型实践。据估计,生产率的潜在增长为每年2亿美元。这项研究项目是戴尼斯科仪器的教职员工和他们的工业合作伙伴之间的密切合作,可能会为注塑以外的许多其他应用提供经过验证的过程传感技术。自充电和无线信号传输的概念有望极大地减少制造过程中的信息瓶颈。最后,这项研究有很大的潜力从根本上影响制造和设计课程,并最终影响研究人员所在机构的教育基础设施。
英文摘要
The objective of this research is to enable a new generation of remote sensors for injection molding process monitoring and control. This research is motivated by current limitations in observing part quality during manufacture that allow the occurrence of defective products and cost inefficiencies. The new sensors will be self-energized by extracting energy from the intensification and decay of polymer melt pressure to generate and transmit signal pulses that correspond to changes in the molding process. This approach promises to reduce the energy consumption by several orders of magnitude. Issues to be investigated include sensor design, simulation, heat conduction, structural integrity, signal encoding, and optimal transmission. The research represents a radical step forward in sensing technology, and has the potential to change industrial molding practice by enabling better algorithms for molding control. The potential increase on productivity is estimated to be $200 million/year.This research project, being a close collaboration between the faculty researchers and their industrial partner at Dynisco Instruments, may provide validated process sensing technology for many other applications beyond injection molding. The self-energizing and wireless signal transmission concept promises to greatly reduce the information bottleneck out of manufacturing processes. Finally, the research has a great potential to fundamentally impact the manufacturing and design curriculum and ultimately, the educational infrastructure the researchers' home institution.
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