Effect of the AWJM Method on the Machined Surface Layer of AZ91D Magnesium Alloy and Simulation of Roughness Parameters Using Neural Networks

This paper investigates the effect of change of the abrasive flow rate and the jet feed on the effectiveness of machining of AZ91D casting magnesium alloy. The evaluation of the state of the workpiece surface was based on surface and area roughness parameters (2D and 3D), which provided data on: irr...

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Detalles Bibliográficos
Autores principales: Zagórski, Ireneusz, Kłonica, Mariusz, Kulisz, Monika, Łoza, Katarzyna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6267304/
https://www.ncbi.nlm.nih.gov/pubmed/30373216
http://dx.doi.org/10.3390/ma11112111

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6267304/
https://www.ncbi.nlm.nih.gov/pubmed/30373216
http://dx.doi.org/10.3390/ma11112111

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