Cargando…
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...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2021
|
| Materias: | |
| 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 |