Predicting Mechanical Strength and Optimized Parameters in FDM-Printed Polylactic Acid Parts Via Artificial Neural Networks and Desirability Analysis
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Language: English
Page range: 428 - 437
Submitted on: Jan 1, 2024
Accepted on: Jul 1, 2024
Published on: Sep 5, 2024
Published by: STE Group sp. z.o.o.
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© 2024 Hind H. Abdulridha, Tahseen F. Abbas, Aqeel S. Bedan, published by STE Group sp. z.o.o.
This work is licensed under the Creative Commons Attribution 4.0 License.