Investigation of Fiber Content and Porosity Effects on Tensile Strength in Long-Fiber-Reinforced Thermoplastics Using Artificial Neural Network
Vol. 24, No. 4, pp. 1389-1400, Apr. 2023
10.1007/s12221-023-00049-3
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Composites Long-fi ber thermoplastics Artifi cial neural network Polyamide 6 (PA6) Polyphenylene sulfi de (PPS) Carbon fi ber (CF) Glass fi ber (GF)
Abstract
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Cite this article
[IEEE Style]
J. Ahn, S. Kim, 3, S. Ahn, K. Kim, H. Yang, "Investigation of Fiber Content and Porosity Effects on Tensile Strength in Long-Fiber-Reinforced Thermoplastics Using Artificial Neural Network," Fibers and Polymers, vol. 24, no. 4, pp. 1389-1400, 2023. DOI: 10.1007/s12221-023-00049-3.
[ACM Style]
Jun-Geol Ahn, Sung-Eun Kim, 3, Seungjae Ahn, Ki-Young Kim, and Hyun-Ik Yang. 2023. Investigation of Fiber Content and Porosity Effects on Tensile Strength in Long-Fiber-Reinforced Thermoplastics Using Artificial Neural Network. Fibers and Polymers, 24, 4, (2023), 1389-1400. DOI: 10.1007/s12221-023-00049-3.