Deep Learning Based Automated Quantification of Powders used in Additive Manufacturing
Author:
Publisher
Elsevier BV
Reference23 articles.
1. Additive Manufacturing Review: Early Past to Current Practice;Beaman;Journal of Manufacturing Science and Engineering,2020
2. Multiphysics multi-scale computational framework for linking process–structure–property relationships in metal additive manufacturing: a critical review;Sharma;International Materials Reviews,2023
3. An overview of powder granulometry on feedstock and part performance in the selective laser melting process;Tan;Additive Manufacturing,2017
4. Metrology Needs for Metal Additive Manufacturing Powders;Slotwinski1;JOM,2015
5. Insights into the influence of powder particle shape on formingprocess andmechanical properties of Al2O3 ceramic fabricated by laser directed energy deposition;Jiang;Additive Manufacturing,2024
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