Development of an Online Quality Control System for Injection Molding Process

Autor:	Ming-Hong Tsai, Jia-Chen Fan-Jiang, Guan-Yan Liou, Feng-Jung Cheng, Sheng-Jye Hwang, Hsin-Shu Peng, Hsiao-Yeh Chu
Jazyk:	angličtina
Rok vydání:	2022
Předmět:	Polymers and Plastics injection molding process pressure curve switchover position injection speed neural network adaptive process control General Chemistry
Zdroj:	Polymers; Volume 14; Issue 8; Pages: 1607
ISSN:	2073-4360
DOI:	10.3390/polym14081607
Popis:	This research developed an adaptive control system for injection molding process. The purpose of this control system is to adaptively maintain the consistency of product quality by minimize the mass variation of injection molded parts. The adaptive control system works with the information collected through two sensors installed in the machine only—the injection nozzle pressure sensor and the temperature sensor. In this research, preliminary experiments are purposed to find master pressure curve that relates to product quality. Viscosity index, peak pressure, and timing of the peak pressure are used to characterize the pressure curve. The correlation between product quality and parameters such as switchover position and injection speed were used to produce a training data for back propagation neural network (BPNN) to compute weight and bias which are applied on the adaptive control system. By using this system, the variation of part weight is maintained to be as low as 0.14%.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de5bbcab3926972e1cfa747780960049 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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