Prediction of Surface Roughness of SLM Built Parts after Finishing Processes Using an Artificial Neural Network

Prediction of Surface Roughness of SLM Built Parts after Finishing Processes Using an Artificial Neural Network

A known problem of additive manufactured parts is their poor surface quality, which influences product performance. There are different surface treatments to improve surface quality: blasting is commonly employed to improve mechanical properties and reduce surface roughness, and electropolishing to...

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Bibliographic Details
Main Authors: Daniel Soler, Martín Telleria, M. Belén García-Blanco, Elixabete Espinosa, Mikel Cuesta, Pedro José Arrazola
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Journal of Manufacturing and Materials Processing
Subjects:
surface roughness
additive manufacturing
SLM
artificial neural network
blasting
electropolishing
Online Access:https://www.mdpi.com/2504-4494/6/4/82

Internet

https://www.mdpi.com/2504-4494/6/4/82

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