Work

Novel strategy for optimizing of corn starch-based ink food 3D printing process: Printability prediction based on BP-ANN model

Year: 2024

Type: article

Source: International Journal of Biological Macromolecules

DOI: 10.1016/j.ijbiomac.2024.133921

Authors: Xueyuan Jiao, Guangyue Ren, Chung Lim Law, Linlin Li, Weiwei Cao, Zhenjiang Luo, Lifeng Pan, Xu Duan, Junliang Chen, Wenchao Liu

Institutions: Henan University of Science and Technology, University of Nottingham, University of Nottingham Malaysia Campus, Luohe Vocational Technology College

Language: English

Topic: Additive Manufacturing and 3D Printing Technologies

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Zero hunger

Open Access status: closed

Funders: Natural Science Foundation of Henan Province, Science and Technology Program of Hunan Province, National Key Research and Development Program of China

Awards: G1431740569, G3878865008, G4946210194

OpenAlex ID: W4400840488

FWCI: 3.939

Cites: 41

Cited by: 27

Related to: 10