Intelligent Injection Molding on Sensing, Optimization, and Control

Author:

Zhao Peng12ORCID,Zhang Jianfeng12,Dong Zhengyang12,Huang Junye12,Zhou Hongwei3,Fu Jianzhong12,Turng Lih-Sheng45ORCID

Affiliation:

1. The State Key Laboratory of Fluid Power and Mechatronic Systems, College of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China

2. Key Laboratory of 3D Printing Process and Equipment of Zhejiang Province, College of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China

3. Tederic Machinery Co., Ltd., Hangzhou 311224, China

4. Department of Mechanical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA

5. Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI 53715, USA

Abstract

Injection molding is one of the most significant material processing methods for mass production of plastic products. It is widely used in various industry sectors, and its products are ubiquitous in our daily life. The settings and optimization of the injection molding process dictate the geometric precision and mechanical properties of the final products. Therefore, sensing, optimization, and control of the injection molding process have a crucial influence on product quality and have become an active research field with abundant literature. This paper defines the concept of intelligent injection molding as the integral application of these three procedures—sensing, optimization, and control. This paper reviews recent studies on methods for the detection of relevant physical variables, optimization of process parameters, and control strategies of machine variables in the molding process. Finally, conclusions are drawn to discuss future research directions and technologies, as well as algorithms worthy of being explored and developed.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

Polymers and Plastics,Organic Chemistry,General Chemical Engineering

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