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Data-Driven and Physics-Assisted Machine Learning Approach for Warpage Classification and Process Parameter Optimization in a 3-D-Printed BeltClip

Year: 2024

Type: article

Source: IEEE Transactions on Computational Social Systems

DOI: 10.1109/tcss.2024.3512614

Authors: Tariku Sinshaw Tamir, Xijin Hua, Jingchao Jiang, Jiewu Leng, Gang Xiong, Zhen Shen, Qiang Liu

Institutions: Guangdong University of Technology, University of Exeter, Chinese Academy of Sciences, Institute of Automation

Language: English

Topic: Additive Manufacturing and 3D Printing Technologies

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, Natural Science Foundation of Guangdong Province, National Key Research and Development Program of China

Awards: G2411786734, G2938308692, G5801099414, G6837489480, G8665702210

OpenAlex ID: W4405934120

FWCI: 0.215

Cites: 46

Cited by: 2

Related to: 10