Numerical Modelling of Additive Manufacturing
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Additive Manufacturing Technologies".
Deadline for manuscript submissions: closed (29 February 2024) | Viewed by 1073
Special Issue Editors
Interests: particulate science and powder engineering; metallurgical engineering; granular matter; multi-scale modeling and simulation; additive manufacturing
Interests: numerical simulation; process metallurgy; multiphase flows; non-spherical particles; drying technology
Special Issue Information
Dear Colleagues,
Additive Manufacturing (AM) has been regarded as a potentially disruptive and promising method in fabricating various products with specific shapes and performances. However, the current knowledge on the AM process obtained from physical experiments is still quite limited, largely due to the lack of available measurement techniques. The lack of proper control over such processes leads to a significant drop in the quality of the final product. Numerical modelling provides an effective alternative and powerful tool to understand the fundamentals and applications of the AM techniques by providing full-scale particulate information.
To learn how products can be better designed and manufactured via AM, this Special Issue aims to collect the innovative work of AM and corresponding applications to highlight the current and future developments in the field. Both original research and review articles summarizing the state-of-the-art of the numerical modelling work concerning AM are welcome. Topics of particular interest include, but are not limited to, the use numerical modelling to optimize material components and AM processes and the proposal of new concepts and applications. At last, related experimental work on AM is also more than welcome in the current Special Issue.
Prof. Dr. Xizhong An
Dr. Hao Zhang
Dr. Qingchuan Zou
Guest Editors
Manuscript Submission Information
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Keywords
- additive manufacturing
- numerical modelling
- structure and properties
- mechanism and dynamics
- optimization and design
