Work

Prediction of tensile properties in 3D printed GF/RPP composites using MISCSO-BP neural network

Year: 2025

Type: article

Source: Journal of Thermoplastic Composite Materials

DOI: 10.1177/08927057251403518

Authors: Shuaijie Zhao, Yuhong Du, Jiaqi Li, Xinlong Li, Xiangyu Nie, Weijia Ren

Institutions: Tiangong University, Tianjin University of Science and Technology

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 Tianjin City

Awards: G2219282771, G5373533212, G6582750615, G7652980595

OpenAlex ID: W4416722709

FWCI: 0.497

Cites: 54

Cited by: 2

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