Analysis of the Agglomeration of Powder in a Coaxial Powder Feeding Nozzle Used for Laser Energy Deposition Article Swipe
YOU?
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· 2021
· Open Access
·
· DOI: https://doi.org/10.32604/fdmp.2021.013535
To improve the agglomeration of powder in a coaxial powder feeding nozzle used in the frame of a laser energy deposition technique, the influence of several parameters must be carefully assessed. In the present study the problem is addressed by means of numerical simulations based on a DEM-CFD (Discrete Element Method and Discrete Element Method) coupled model. The influence of the powder flow concentration, powder flow focal length and the amount of powder at the nozzle outlet on the rate of convergence of the powder flow is considered. The role played by the nozzle outlet width, the angle between the inner and outer walls and the powder incident angle in determining the powder flow concentration is also considered. The results show that, with increasing of nozzle outlet width, the powder flow concentration per unit volume at the nozzle focal point undergoes a non-monotonic behaviour (it first increases and then decreases). When the nozzle outlet width δ is 1.00 mm, the powder flow concentration at the focal point is maximal and the powder flow convergence can be considered optimal. By increasing the angle between the inner and outer walls, the powder flow concentration related to the upper focus decreases, the focus diameter increases and the powder flow aggregation worsens. The powder flow concentration increases first and then decreases with increasing incident angle. When the incident angle θ is 30°, the powder flow exhibits the best agglomeration properties. When the outlet width is smaller, the angle between the inner and outer walls is larger, and when the incident angle is set at 30°, the powder flow concentration of the coaxial nozzle can be effectively improved.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.32604/fdmp.2021.013535
- OA Status
- diamond
- Cited By
- 4
- References
- 34
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3153940507
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3153940507Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.32604/fdmp.2021.013535Digital Object Identifier
- Title
-
Analysis of the Agglomeration of Powder in a Coaxial Powder Feeding Nozzle Used for Laser Energy DepositionWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-01-01Full publication date if available
- Authors
-
Chenguang Guo, Yu Hong Sun, Qiang Li, Haitao Yue, Chuang WangList of authors in order
- Landing page
-
https://doi.org/10.32604/fdmp.2021.013535Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://doi.org/10.32604/fdmp.2021.013535Direct OA link when available
- Concepts
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Nozzle, Materials science, Coaxial, Discrete element method, Flow (mathematics), Economies of agglomeration, Volumetric flow rate, Metal powder, Deposition (geology), Mechanics, Composite material, Metallurgy, Mechanical engineering, Chemical engineering, Sediment, Geology, Engineering, Physics, Paleontology, MetalTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
4Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2024: 1, 2023: 1Per-year citation counts (last 5 years)
- References (count)
-
34Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.show | 120 |
| abstract_inverted_index.then | 148, 215 |
| abstract_inverted_index.unit | 133 |
| abstract_inverted_index.used | 12 |
| abstract_inverted_index.when | 253 |
| abstract_inverted_index.with | 122, 217 |
| abstract_inverted_index.30°, | 227, 260 |
| abstract_inverted_index.angle | 97, 108, 181, 224, 243, 256 |
| abstract_inverted_index.based | 44 |
| abstract_inverted_index.first | 145, 213 |
| abstract_inverted_index.focal | 66, 138, 165 |
| abstract_inverted_index.focus | 196, 199 |
| abstract_inverted_index.frame | 15 |
| abstract_inverted_index.inner | 100, 184, 246 |
| abstract_inverted_index.laser | 18 |
| abstract_inverted_index.means | 40 |
| abstract_inverted_index.outer | 102, 186, 248 |
| abstract_inverted_index.point | 139, 166 |
| abstract_inverted_index.study | 34 |
| abstract_inverted_index.that, | 121 |
| abstract_inverted_index.upper | 195 |
| abstract_inverted_index.walls | 103, 249 |
| abstract_inverted_index.width | 154, 239 |
| abstract_inverted_index.Method | 50 |
| abstract_inverted_index.amount | 70 |
| abstract_inverted_index.angle. | 220 |
| abstract_inverted_index.energy | 19 |
| abstract_inverted_index.length | 67 |
| abstract_inverted_index.model. | 56 |
| abstract_inverted_index.nozzle | 11, 75, 93, 125, 137, 152, 268 |
| abstract_inverted_index.outlet | 76, 94, 126, 153, 238 |
| abstract_inverted_index.played | 90 |
| abstract_inverted_index.powder | 5, 9, 61, 64, 72, 84, 106, 112, 129, 160, 171, 189, 204, 209, 229, 262 |
| abstract_inverted_index.volume | 134 |
| abstract_inverted_index.walls, | 187 |
| abstract_inverted_index.width, | 95, 127 |
| abstract_inverted_index.DEM-CFD | 47 |
| abstract_inverted_index.Element | 49, 53 |
| abstract_inverted_index.Method) | 54 |
| abstract_inverted_index.between | 98, 182, 244 |
| abstract_inverted_index.coaxial | 8, 267 |
| abstract_inverted_index.coupled | 55 |
| abstract_inverted_index.feeding | 10 |
| abstract_inverted_index.improve | 1 |
| abstract_inverted_index.larger, | 251 |
| abstract_inverted_index.maximal | 168 |
| abstract_inverted_index.present | 33 |
| abstract_inverted_index.problem | 36 |
| abstract_inverted_index.related | 192 |
| abstract_inverted_index.results | 119 |
| abstract_inverted_index.several | 25 |
| abstract_inverted_index.Discrete | 52 |
| abstract_inverted_index.diameter | 200 |
| abstract_inverted_index.exhibits | 231 |
| abstract_inverted_index.incident | 107, 219, 223, 255 |
| abstract_inverted_index.optimal. | 177 |
| abstract_inverted_index.smaller, | 241 |
| abstract_inverted_index.worsens. | 207 |
| abstract_inverted_index.(Discrete | 48 |
| abstract_inverted_index.addressed | 38 |
| abstract_inverted_index.assessed. | 30 |
| abstract_inverted_index.behaviour | 143 |
| abstract_inverted_index.carefully | 29 |
| abstract_inverted_index.decreases | 216 |
| abstract_inverted_index.improved. | 272 |
| abstract_inverted_index.increases | 146, 201, 212 |
| abstract_inverted_index.influence | 23, 58 |
| abstract_inverted_index.numerical | 42 |
| abstract_inverted_index.undergoes | 140 |
| abstract_inverted_index.considered | 176 |
| abstract_inverted_index.decreases, | 197 |
| abstract_inverted_index.deposition | 20 |
| abstract_inverted_index.increasing | 123, 179, 218 |
| abstract_inverted_index.parameters | 26 |
| abstract_inverted_index.technique, | 21 |
| abstract_inverted_index.aggregation | 206 |
| abstract_inverted_index.considered. | 87, 117 |
| abstract_inverted_index.convergence | 81, 173 |
| abstract_inverted_index.decreases). | 149 |
| abstract_inverted_index.determining | 110 |
| abstract_inverted_index.effectively | 271 |
| abstract_inverted_index.properties. | 235 |
| abstract_inverted_index.simulations | 43 |
| abstract_inverted_index.agglomeration | 3, 234 |
| abstract_inverted_index.concentration | 114, 131, 162, 191, 211, 264 |
| abstract_inverted_index.non-monotonic | 142 |
| abstract_inverted_index.concentration, | 63 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 5 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.6800000071525574 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.47097852 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |