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Intelligent Temperature Control in Injection Molding by Nguyễn Hoàng Phúc is a document available to read on EtoBox.
The research article presents a novel intelligent temperature compensation control strategy for injection molding processes to enhance product consistency by improving temperature control accuracy under dynamic conditions. It utilizes a data-based feedforward iterative learning control (ILC) algorithm to determine optimal compensation time and a deep Q-learning algorithm to ascertain optimal compensation quantity. Experimental results validate that this method significantly enhances temperature control accu
- Author
- Nguyễn Hoàng Phúc
- Language
- EN