1
|
Dong Z, Zhao P, Zheng J, Ji K, Chen Y, Fu J. Intelligent injection molding: Parameters self‐learning optimization using iterative gradient‐approximation adaptive method. J Appl Polym Sci 2021. [DOI: 10.1002/app.50687] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Zhengyang Dong
- The State Key Laboratory of Fluid Power and Mechatronic Systems, College of Mechanical Engineering Zhejiang University Hangzhou China
- Key Laboratory of 3D Printing Process and Equipment of Zhejiang Province, College of Mechanical Engineering Zhejiang University Hangzhou China
| | - Peng Zhao
- The State Key Laboratory of Fluid Power and Mechatronic Systems, College of Mechanical Engineering Zhejiang University Hangzhou China
- Key Laboratory of 3D Printing Process and Equipment of Zhejiang Province, College of Mechanical Engineering Zhejiang University Hangzhou China
| | - Jianguo Zheng
- Technology Center Tederic Machinery Co., LTD. Hangzhou China
| | - Kaipeng Ji
- The State Key Laboratory of Fluid Power and Mechatronic Systems, College of Mechanical Engineering Zhejiang University Hangzhou China
- Key Laboratory of 3D Printing Process and Equipment of Zhejiang Province, College of Mechanical Engineering Zhejiang University Hangzhou China
| | - Yuhong Chen
- Institute of Transparency Beijing Institute of Aeronautical Materials Beijing China
| | - Jianzhong Fu
- The State Key Laboratory of Fluid Power and Mechatronic Systems, College of Mechanical Engineering Zhejiang University Hangzhou China
- Key Laboratory of 3D Printing Process and Equipment of Zhejiang Province, College of Mechanical Engineering Zhejiang University Hangzhou China
| |
Collapse
|
2
|
A Knowledge-Informed Simplex Search Method Based on Historical Quasi-Gradient Estimations and Its Application on Quality Control of Medium Voltage Insulators. Processes (Basel) 2021. [DOI: 10.3390/pr9050770] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Quality control is of great significance for the economical manufacturing and reliable application of medium voltage insulators. With the increasingly stringent quality control requirement, traditional quality control methods in this field face a growing challenge on their efficiency. Therefore, this study aims to achieve quality specifications by optimizing process conditions with the least costs. Thus, a knowledge-informed simplex search method was proposed based on an idea of knowledge-informed optimization to enhance the optimization efficiency. Firstly, a new mathematical quantity, quasi-gradient estimation, was generated following a reconstruction of the simplex search from the essence and the development history of the method. Based on this quantity, the gradient-free method possessed the same gradient property and unified form as the gradient-based methods. Secondly, an implementation of the knowledge-informed simplex search method based on historical quasi-gradient estimations (short for GK-SS) was constructed. The GK-SS-based quality control method utilized the historical quasi-gradient estimations for each simplex generated during the optimization process to improve the method’s search directions’ accuracy in a statistical sense. Finally, this method was applied to the weight control of a kind of post insulator. The experimental simulation results showed that the method is effective and efficient in the quality control of medium voltage insulators.
Collapse
|
3
|
Colombo E, Luna M, Martínez E. Probability-Based Design of Experiments for Batch Process Optimization with End-Point Specifications. Ind Eng Chem Res 2016. [DOI: 10.1021/acs.iecr.5b01295] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
| | - Martin Luna
- INGAR (CONICET-UTN), Avellaneda 3657, Santa Fe S3002 GJC, Argentina
| | - Ernesto Martínez
- INGAR (CONICET-UTN), Avellaneda 3657, Santa Fe S3002 GJC, Argentina
| |
Collapse
|
4
|
Zhao J, Yang Y, Chen X, Gao F. An Iterative Modeling and Trust-Region Optimization Method for Batch Processes. Ind Eng Chem Res 2015. [DOI: 10.1021/ie505064g] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Jinjin Zhao
- State
Key Laboratory of Industrial Control Technology, Department of Control
Science and Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Yi Yang
- State
Key Laboratory of Industrial Control Technology, Department of Control
Science and Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Xi Chen
- State
Key Laboratory of Industrial Control Technology, Department of Control
Science and Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Furong Gao
- Department
of Chemical and Biomolecular Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
| |
Collapse
|