Optimizing the material and printing parameters of the additively manufactured fiber-reinforced polymer composites using an artificial neural network model and artificial bee colony algorithm-Reference-Cited by-同舟云学术

Optimizing the material and printing parameters of the additively manufactured fiber-reinforced polymer composites using an artificial neural network model and artificial bee colony algorithm

Published:2022-12 Issue: Volume:46 Page:1781-1795
ISSN:2352-0124
Container-title:Structures
language:en
Short-container-title:Structures

Author:

Alhaddad Wael,He Minjuan,Halabi Yahia,Yahya Mohammed Almajhali Khalil

Publisher

Elsevier BV

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Architecture,Civil and Structural Engineering

Reference50 articles.

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2. Developments in Chemical Treatments, Manufacturing Techniques and Potential Applications of Natural-Fibers-Based Biodegradable Composites;Muhammad Yasir;Coatings,2021

3. J. Neto, H. Queiroz, R. Aguiar, R. Lima, D. Cavalcanti, and M. D. Banea, “A Review of Recent Advances in Hybrid Natural Fiber Reinforced Polymer Composites,” J. Renew. Mater., vol. 10, no. 3, pp. 561–589, 2022, 10.32604/jrm.2022.017434.

4. Additive manufacturing of natural fiber reinforced polymer composites: Processing and prospects;Balla;Compos Part B Eng,2019

5. Mechanical Properties of Heat-Treated Natural Fibers;Ochi;J Soc Mater Sci Jpn,2002

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