Machine-learning-based monitoring and optimization of processing parameters in 3D printing

Author:

Tamir Tariku Sinshaw12ORCID,Xiong Gang13ORCID,Fang Qihang12,Yang Yong4,Shen Zhen13ORCID,Zhou MengChu56ORCID,Jiang Jingchao7ORCID

Affiliation:

1. The State Key Laboratory for Management and Control of Complex Systems, Beijing Engineering Research Center of Intelligent Systems and Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China

2. The School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China

3. The Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing, Cloud Computing Center, Chinese Academy of Sciences, Dongguan, China

4. The State Key Laboratory of High Performance Ceramics and Superfine Microstructure, Shanghai Institute of Ceramics, Chinese Academy of Sciences, Shanghai, China

5. Helen and John C. Hartmann Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA

6. Macao Institute of Systems Engineering and Collaborative Laboratory for Intelligent Science and Systems, Macau University of Science and Technology, Macao 999078, China

7. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

CAS Key Technology Talent Program

Scientific Instrument Developing Project of the Chinese Academy of Sciences

CAS STS Dongguan Joint Project

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Aerospace Engineering

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