Quality Prediction of Fused Deposition Molding Parts Based on Improved Deep Belief Network

Tensile strength, warping degree, and surface roughness are important indicators to evaluate the quality of fused deposition modeling (FDM) parts, and their accurate and stable prediction is helpful to the development of FDM technology. Thus, a quality prediction method of FDM parts based on an opti...

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Detalles Bibliográficos
Autores principales: Dong, Hai, Gao, Xiuxiu, Wei, Mingqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8670973/
https://www.ncbi.nlm.nih.gov/pubmed/34917140
http://dx.doi.org/10.1155/2021/8100371

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8670973/
https://www.ncbi.nlm.nih.gov/pubmed/34917140
http://dx.doi.org/10.1155/2021/8100371

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