Cargando…
ANN Surface Roughness Optimization of AZ61 Magnesium Alloy Finish Turning: Minimum Machining Times at Prime Machining Costs
Magnesium alloys are widely used in aerospace vehicles and modern cars, due to their rapid machinability at high cutting speeds. A novel Edgeworth–Pareto optimization of an artificial neural network (ANN) is presented in this paper for surface roughness (Ra) prediction of one component in computer n...
Autores principales: | Abbas, Adel Taha, Pimenov, Danil Yurievich, Erdakov, Ivan Nikolaevich, Taha, Mohamed~Adel, Soliman, Mahmoud Sayed, El Rayes, Magdy Mostafa |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5978185/ https://www.ncbi.nlm.nih.gov/pubmed/29772670 http://dx.doi.org/10.3390/ma11050808 |
Ejemplares similares
-
A regression-tree multilayer-perceptron hybrid strategy for the prediction of ore crushing-plate lifetimes
por: Juez-Gil, Mario, et al.
Publicado: (2019) -
Towards Optimization of Machining Performance and Sustainability Aspects when Turning AISI 1045 Steel under Different Cooling and Lubrication Strategies
por: Abbas, Adel T., et al.
Publicado: (2019) -
Optimization and Analysis of Surface Roughness, Flank Wear and 5 Different Sensorial Data via Tool Condition Monitoring System in Turning of AISI 5140
por: Kuntoğlu, Mustafa, et al.
Publicado: (2020) -
Modeling of Cutting Parameters and Tool Geometry for Multi-Criteria Optimization of Surface Roughness and Vibration via Response Surface Methodology in Turning of AISI 5140 Steel
por: Kuntoğlu, Mustafa, et al.
Publicado: (2020) -
Corrosion Resistance and Surface Bioactivity of Ti6Al4V Alloy after Finish Turning under Ecological Cutting Conditions
por: Leksycki, Kamil, et al.
Publicado: (2021)