Cargando…
Using a neural network model to evaluate the mechanical and tribological properties of vermicular cast iron based on hardness
Measuring the tensile strength, wear resistance, and impact strength of metals, particularly cast iron, is complex and more expensive than performing hardness tests. In the present study, owing to the ease of specimen preparation and low cost, the Hardness (HB) test was used to approximately predict...
Autores principales: | Mahran, Gamal M.A., Omran, Abdel-Nasser Mohamed |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10622614/ https://www.ncbi.nlm.nih.gov/pubmed/37928391 http://dx.doi.org/10.1016/j.heliyon.2023.e21119 |
Ejemplares similares
-
Research on the Oxidation Mechanism of Vermicular Graphite Cast Iron
por: Guo, Qiaoqin, et al.
Publicado: (2019) -
A New Theoretical Method for Studying Effects of Microstructure on Effective Thermal Conductivity of Vermicular Graphite Cast Iron
por: Jiang, Ailong, et al.
Publicado: (2023) -
Tribological and Wear Performance of Nanocomposite PVD Hard Coatings Deposited on Aluminum Die Casting Tool
por: Paiva, Jose Mario, et al.
Publicado: (2018) -
Gold hard anodized (GHA) materials with antimicrobial surface properties: mechanical, tribological, and microbiological characterization
por: Nastruzzi, Anna, et al.
Publicado: (2021) -
Tribological Properties and 3D Topographic Parameters of Hard Turned and Ground Surfaces
por: Molnar, Viktor
Publicado: (2022)