Regression Model for Optimization and Prediction of Tensile Strength of a PLA Prototype Printed

The experimental studies on prototypes printed in 3D with polylactic acid (PLA) material still seek to characterize the mechanical behavior and the deformations of these printed samples according to the various solicitations. The huge number of parameters intervening in these properties makes the co...

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Vydané v:	Journal of advanced computational intelligence and intelligent informatics Ročník 26; číslo 6; s. 952 - 958
Hlavní autori:	Hamouti, Lahcen, Farissi, Omar El, Outemssa, Omar
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Tokyo Fuji Technology Press Co. Ltd 20.11.2022
Predmet:	3-D printers Additive manufacturing Artificial intelligence Informatics Mechanical properties Medical research Neural networks Optimization Parameters Polylactic acid Process controls Prototypes Regression models Tensile strength Three dimensional printing
ISSN:	1343-0130, 1883-8014
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