Application of machine learning for the prediction of particle velocity distribution and deposition efficiency for cold spraying titanium powder-Reference-Cited by-同舟云学术

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Application of machine learning for the prediction of particle velocity distribution and deposition efficiency for cold spraying titanium powder

Published:2024-09 Issue: Volume:244 Page:113224
ISSN:0927-0256
Container-title:Computational Materials Science
language:en
Short-container-title:Computational Materials Science

Author:

Eberle Martin^ORCID,Pinches Samuel^ORCID,Guzman Pablo^ORCID,King Hannah,Zhou Hailing^ORCID,Ang Andrew^ORCID

Publisher

Elsevier BV

Reference36 articles.

1. Overview of cold spray coatings applications and comparisons: a critical review;Kumar;World J. Eng.,2020

2. Mechanical behavior of Ti cold spray coatings determined by a multi-scale indentation method;Goldbaum;Mater. Sci. Eng. A,2011

3. Measurement methods for quantifying powder flowability and velocity in cold spray systems;Tsai;Adv. Powder Technol.,2023

4. Bonding mechanism in cold gas spraying;Assadi;Acta Mater.,2003

5. Adiabatic shear instability is not necessary for adhesion in cold spray;Hassani-Gangaraj;Acta Mater.,2018

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