Intelligent Injection Molding on Sensing, Optimization, and Control
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...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
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| Series: | Advances in Polymer Technology |
| Online Access: | http://dx.doi.org/10.1155/2020/7023616 |
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| _version_ | 1832547162793181184 |
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| author | Peng Zhao Jianfeng Zhang Zhengyang Dong Junye Huang Hongwei Zhou Jianzhong Fu Lih-Sheng Turng |
| author_facet | Peng Zhao Jianfeng Zhang Zhengyang Dong Junye Huang Hongwei Zhou Jianzhong Fu Lih-Sheng Turng |
| author_sort | Peng Zhao |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-935b43be5e3c4f8ebcbdc4e390b35be3 |
| institution | Kabale University |
| issn | 0730-6679 1098-2329 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Polymer Technology |
| spelling | doaj-art-935b43be5e3c4f8ebcbdc4e390b35be32025-02-03T06:45:54ZengWileyAdvances in Polymer Technology0730-66791098-23292020-01-01202010.1155/2020/70236167023616Intelligent Injection Molding on Sensing, Optimization, and ControlPeng Zhao0Jianfeng Zhang1Zhengyang Dong2Junye Huang3Hongwei Zhou4Jianzhong Fu5Lih-Sheng Turng6The State Key Laboratory of Fluid Power and Mechatronic Systems, College of Mechanical Engineering, Zhejiang University, Hangzhou 310027, ChinaThe State Key Laboratory of Fluid Power and Mechatronic Systems, College of Mechanical Engineering, Zhejiang University, Hangzhou 310027, ChinaThe State Key Laboratory of Fluid Power and Mechatronic Systems, College of Mechanical Engineering, Zhejiang University, Hangzhou 310027, ChinaThe State Key Laboratory of Fluid Power and Mechatronic Systems, College of Mechanical Engineering, Zhejiang University, Hangzhou 310027, ChinaTederic Machinery Co., Ltd., Hangzhou 311224, ChinaThe State Key Laboratory of Fluid Power and Mechatronic Systems, College of Mechanical Engineering, Zhejiang University, Hangzhou 310027, ChinaDepartment of Mechanical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USAInjection 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.http://dx.doi.org/10.1155/2020/7023616 |
| spellingShingle | Peng Zhao Jianfeng Zhang Zhengyang Dong Junye Huang Hongwei Zhou Jianzhong Fu Lih-Sheng Turng Intelligent Injection Molding on Sensing, Optimization, and Control Advances in Polymer Technology |
| title | Intelligent Injection Molding on Sensing, Optimization, and Control |
| title_full | Intelligent Injection Molding on Sensing, Optimization, and Control |
| title_fullStr | Intelligent Injection Molding on Sensing, Optimization, and Control |
| title_full_unstemmed | Intelligent Injection Molding on Sensing, Optimization, and Control |
| title_short | Intelligent Injection Molding on Sensing, Optimization, and Control |
| title_sort | intelligent injection molding on sensing optimization and control |
| url | http://dx.doi.org/10.1155/2020/7023616 |
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