Application of artificial neural networks for estimation of the mass of the waste powder during selective laser sintering
Date
2019
Authors
Šoškić, Zlatan
Tomić, Jelena
Drvar, Nend
Monti, Michele
Cardu, Marco
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Abstract
The paper presents results of the efforts to improve the accuracy of cost calculation of the selective laser sintering technology using an artificial neural network as a tool for estimation of the mass of the waste powder, based on the masses of the powder that will be, and the powder that will not be, built into products during a production process.
Description
Keywords
additive manufacturing, selective laser sintering, manufacturing costs