Journal
EXPERT SYSTEMS WITH APPLICATIONS
Volume 42, Issue 6, Pages 2919-2927Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2014.11.030
Keywords
On-line quality control; Data mining; MPC; Injection molding; Mathematical modeling
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Quality control is an important aspect of manufacturing processes. Product quality of injection molded parts is influenced by the injection molding process. In this study statistical tools were used to develop a model that relates injection molding process variables to part quality. A statistically based model predictive control algorithm was developed for controlling part quality with manipulated variables coolant flow rate and coolant temperature. This approach replaces the need of off-line quality measurement and provides real-time injection modeling quality control. (C) 2014 Elsevier Ltd. All rights reserved.
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