Powder Spreading Mechanism in Laser Powder Bed Fusion Additive Manufacturing: Experiments and Computational Approach Using Discrete Element Method
Author:
Affiliation:
1. Department of Materials Science and Engineering, Institute of Materials Science, University of Connecticut, Storrs, CT 06269-3136, USA
Abstract
Funder
Air Force Research Laboratory
Publisher
MDPI AG
Subject
General Materials Science
Link
https://www.mdpi.com/1996-1944/16/7/2824/pdf
Reference33 articles.
1. Additive manufacturing tooling for the automotive industry;Leal;Int. J. Adv. Manuf. Technol.,2017
2. Metal additive manufacturing of commercial aerospace components—A comprehensive review;Kumar;Proc. Inst. Mech. Eng. Part E J. Process Mech. Eng.,2022
3. Najmon, J.C., Raeisi, S., and Tovar, A. (2019). Additive Manufacturing for the Aerospace Industry, Elsevier.
4. Development of Biomedical Implants through Additive Manufacturing: A Review;Vignesh;J. Mater. Eng. Perform.,2021
5. Powder bed fusion–laser melting (PBF–LM) process: Latest review of materials, process parameter optimization, application, and up-to-date innovative technologies;Ali;Prog. Addit. Manuf.,2022
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