Cargando…
Optimization of sand casting performance parameters and missing data prediction
Due to a wide range of applications, sand casting occupies an important position in modern casting practice. The main purpose of this study was to optimize the performance parameters of sand casting based on grey relational analysis and predict the missing data using back propagation (BP) neural net...
Autores principales: | Xu, Qingwei, Xu, Kaili, Li, Li, Yao, Xiwen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6731703/ https://www.ncbi.nlm.nih.gov/pubmed/31598220 http://dx.doi.org/10.1098/rsos.181860 |
Ejemplares similares
-
Thermal decomposition characteristics of foundry sand for cast iron in nitrogen atmosphere
por: Xu, Qingwei, et al.
Publicado: (2018) -
Sand casting safety assessment for foundry enterprises: fault tree analysis, Heinrich accident triangle, HAZOP–LOPA, bow tie model
por: Xu, Qingwei, et al.
Publicado: (2018) -
Safety assessment of petrochemical enterprise using the cloud model, PHA–LOPA and the bow-tie model
por: Xu, Qingwei, et al.
Publicado: (2018) -
Mine safety assessment based on basic event importance: grey relational analysis and bow tie model
por: Xu, Qingwei, et al.
Publicado: (2018) -
Safety Assessment of Casting Workshop by Cloud Model and Cause and Effect–LOPA to Protect Employee Health
por: Xu, Qingwei, et al.
Publicado: (2020)