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...

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Detalles Bibliográficos
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:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5978185/
https://www.ncbi.nlm.nih.gov/pubmed/29772670
http://dx.doi.org/10.3390/ma11050808

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