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Application of a holistic 3D model to estimate state of cold spray titanium particles
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“But these studies only considered the influence of the airflow on particles, and ignored the influence of the particles on each other.”
From Cold Spray Process for Co-Deposition of Copper and Aluminum Particles (2023) · cites this paper as [20]
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Cited by
Sorted by citations
Cold Spray Process for Co-Deposition of Copper and Aluminum Particles
Hu, S., Li, H., Zhang, L., & Xu, Y. (2023) · Coatings · doi:10.3390/coatings13111953 · Cited by 3
Metadata
- Authors
- Faizan-Ur-Rab, M., Zahiri, S. H., Masood, S. H., Phan, T. D., Jahedi, M., & Nagarajah, R.
- Affiliations
- CSIRO Manufacturing (AU)
- Swinburne University of Technology (AU)
- Venue
- Materials & Design
- Publisher
- Elsevier BV
- Published
- 2016-01
- Volume
- 89
- Pages
- 1227-1241
- ISSN
- 0264-1275 (ISSN-L)
- OpenAlex
- W2181681000
- Cited by
- 41
- References
- 1
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 3 · 2023: 3 · 2022: 4 · 2021: 7 · 2020: 5 · 2019: 3 · 2018: 5 · 2017: 4 · 2016: 2
- FWCI
- 5.32
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Materials & Design (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Swinburne figshare (Swinburne University of Technology) (submittedVersion)
- Topics
- Physical Sciences › Materials Science › Surfaces, Coatings and Films › High-Temperature Coating Behaviors
- Physical Sciences › Engineering › Mechanical Engineering › Additive Manufacturing Materials and Processes
- Physical Sciences › Chemical Engineering › Fluid Flow and Transfer Processes › Particle Dynamics in Fluid Flows
- Keywords
- cold spray, titanium powder, particle trajectory prediction, particle velocity, particle temperature, deposition efficiency, critical speed, particle size distribution, 3D CFD model, cold spray additive manufacturing, stagnation conditions
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