Predicting Mechanical Strength and Optimized Parameters in FDM-Printed Polylactic Acid Parts Via Artificial Neural Networks and Desirability Analysis
, e 05 set 2024
INFORMAZIONI SU QUESTO ARTICOLO
Pubblicato online: 05 set 2024
Pagine: 428 - 437
Ricevuto: 01 gen 2024
Accettato: 01 lug 2024
DOI: https://doi.org/10.2478/mspe-2024-0040
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© 2024 Hind H. Abdulridha et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Abdulridha, Hind H.
University of Technology
Abbas, Tahseen F.
University of Technology
Bedan, Aqeel S.
University of Technology