Design optimization of additively manufactured sandwich beams through experimentation, machine learning, and imperialist competitive algorithm-Reference-Cited by-同舟云学术

Design optimization of additively manufactured sandwich beams through experimentation, machine learning, and imperialist competitive algorithm

Published:2024-02-05 Issue:3 Volume:35 Page:320-337
ISSN:0954-4828
Container-title:Journal of Engineering Design
language:en
Short-container-title:Journal of Engineering Design

Author:

Teimouri Amir¹,Alinia Maysam²³,Kamarian Saeed⁴,Saber-Samandari Saeed²³,Li Guoqiang¹,Song Jung-il⁴

Affiliation:

1. Department of Mechanical and Industrial Engineering, Louisiana State University, Baton Rouge, LA, USA

2. New Technologies Research Center, Amirkabir University of Technology, Tehran, Iran

3. Composites Research Laboratory (CRLab), Amirkabir University, Tehran, Iran

4. Department of Mechanical Engineering, Changwon National University, Changwon, South Korea

Funder

Basic Science Research Program

National Research Foundation of Korea

Ministry of Education

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/09544828.2024.2309862

Reference51 articles.

1. The effect of auxeticity on the vibration of conical sandwich shells with ring support under various boundary conditions

2. Compressive properties of 3D printed auxetic structures: experimental and numerical studies

3. Fabrication and Finite Element Simulation of Antibacterial 3D Printed Poly L-Lactic Acid Scaffolds Coated with Alginate/Magnesium Oxide for Bone Tissue Regeneration;Angili S. N.;International Journal of Biological Macromolecules,2022

4. Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition

5. NSICA: Multi-objective imperialist competitive algorithm for feature selection in arrhythmia diagnosis

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