Controlling the Properties of Additively Manufactured Cellular Structures Using Machine Learning Approaches-Reference-Cited by-同舟云学术

Controlling the Properties of Additively Manufactured Cellular Structures Using Machine Learning Approaches

Published:2020-03 Issue:3 Volume:22 Page:1901338
ISSN:1438-1656
Container-title:Advanced Engineering Materials
language:en
Short-container-title:Adv. Eng. Mater.

Author:

Hassanin Hany¹^ORCID,Alkendi Yusra²,Elsayed Mahmoud³,Essa Khamis⁴,Zweiri Yahya²⁵

Affiliation:

1. School of EngineeringUniversity of Liverpool Liverpool L69 3BX UK

2. Khalifa University Center for Autonomous Robotic SystemsDepartment of Aerospace EngineeringKhalifa University of Science and Technology P.O. Box 127788 Abu Dhabi UAE

3. Department of Industrial and Management EngineeringArab Academy for Science and Technology and Maritime Transport PO Box 1029, Abu Qir Alexandria 21599 Egypt

4. Department of Mechanical EngineeringUniversity of Birmingham Edgbaston B15 2TT UK

5. Faculty of Science, Engineering and ComputingKingston University London London SW15 3DW UK

Publisher

Wiley

Subject

Condensed Matter Physics,General Materials Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adem.201901338

Reference31 articles.

1. Engineering the Extracellular Environment: Strategies for Building 2D and 3D Cellular Structures

2. Metallic powder-bed based 3D printing of cellular scaffolds for orthopaedic implants: A state-of-the-art review on manufacturing, topological design, mechanical properties and biocompatibility

3. Additive Manufacturing of Metal Cellular Structures: Design and Fabrication

4. Review of evolution of cellular manufacturing system’s approaches: Material transferring models

5. Three-Dimensional Microstructured Lattices for Oil Sensing

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