Online product quality monitoring through in-process measurement

被引：54

作者：

Gao, Robert X. ^{[1
]}

Tang, Xinyao ^{[1
]}

Gordon, Guthrie ^{[2
]}

Kazmer, David O. ^{[2
]}

机构：

[1] Univ Connecticut, Dept Mech Engn, Storrs, CT 06269 USA

[2] Univ Massachusetts, Dept Plast Engn, Lowell, MA USA

来源：

CIRP ANNALS-MANUFACTURING TECHNOLOGY | 2014年 / 63卷 / 01期

基金：

美国国家科学基金会;

关键词：

Metrology; Sensor; Quality control; POLYMERS;

D O I：

10.1016/j.cirp.2014.03.041

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Online monitoring of product quality is key to automated machine operation and process optimization. This paper demonstrates an in-process sensing technique for online product quality assessment, using injection moulding as an example. The system measures four parameters within the injection mould cavity, which are directly correlated with the part quality: melt pressure, temperature, velocity, and viscosity. Relationship between the sensor data and quality characteristics, e.g., thickness and width of the part, are established by incorporating governing physics for pressure-volume-temperature with other mechanistic models. Good agreement between sensor measurements and experimental results is confirmed from tests performed on a production-grade machine. (C) 2014 CIRP.

引用

页码：493 / 496

页数：4

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