Multi-Physics Modeling in Curved Surface Laser Cladding: Impact of Scanning Trajectories and Cladding Parameters on Temperature Field and Coating Thickness Article Swipe
Chenyun Deng
,
Wei Chen
,
Yingxia Zhu
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/cryst15020128
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/cryst15020128
In order to apply laser cladding technology to the complex surface processing of hot-working dies, this study developed a numerical model for curved surface laser cladding along various scanning trajectories under multi-physics coupling considering the dynamics of the molten pool, cladding parameters (scanning speed and laser power), Marangoni effect, and solid–liquid phase transition. Utilizing this model and by altering cladding parameters, the temperature field and the variation in coating thickness along various scanning trajectories were studied as well as the interaction between the two. The following discoveries were made. Variations in scanning trajectories lead to differences in the coating thickness of curved surface laser cladding. Regardless of the combination of cladding parameters, the coating thickness of scanning from top to bottom is always less than that from bottom to top, with a difference of approximately 0.05 mm. The temperature field and coating thickness influence each other. The Marangoni effect induced by the temperature field is the primary cause of coating thickness growth, while the coating thickness affects thermal transfer from the thermal source, ultimately influencing the temperature field. Employing a greater laser power or a slower scanning speed, or a combination of greater laser power and slower scanning speed, can increase the coating thickness and its maximum temperature in curved surface laser cladding. The model, when contrasted with experimental data, exhibits a comprehensive discrepancy of 3.49%, signifying its high precision and practical engineering applicability.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/cryst15020128
- https://www.mdpi.com/2073-4352/15/2/128/pdf?version=1737723732
- OA Status
- gold
- Cited By
- 5
- References
- 55
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4406801159
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4406801159Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/cryst15020128Digital Object Identifier
- Title
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Multi-Physics Modeling in Curved Surface Laser Cladding: Impact of Scanning Trajectories and Cladding Parameters on Temperature Field and Coating ThicknessWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-01-24Full publication date if available
- Authors
-
Chenyun Deng, Wei Chen, Yingxia ZhuList of authors in order
- Landing page
-
https://doi.org/10.3390/cryst15020128Publisher landing page
- PDF URL
-
https://www.mdpi.com/2073-4352/15/2/128/pdf?version=1737723732Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://www.mdpi.com/2073-4352/15/2/128/pdf?version=1737723732Direct OA link when available
- Concepts
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Cladding (metalworking), Coating, Materials science, Field (mathematics), Laser, Composite material, Optics, Physics, Mathematics, Pure mathematicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
5Total citation count in OpenAlex
- Citations by year (recent)
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2025: 5Per-year citation counts (last 5 years)
- References (count)
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55Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.when | 215 |
| abstract_inverted_index.with | 130, 217 |
| abstract_inverted_index.along | 26, 70 |
| abstract_inverted_index.apply | 3 |
| abstract_inverted_index.cause | 157 |
| abstract_inverted_index.data, | 219 |
| abstract_inverted_index.dies, | 14 |
| abstract_inverted_index.field | 63, 139, 153 |
| abstract_inverted_index.laser | 4, 24, 45, 103, 181, 193, 211 |
| abstract_inverted_index.made. | 88 |
| abstract_inverted_index.model | 20, 55 |
| abstract_inverted_index.order | 1 |
| abstract_inverted_index.phase | 51 |
| abstract_inverted_index.pool, | 39 |
| abstract_inverted_index.power | 182, 194 |
| abstract_inverted_index.speed | 43 |
| abstract_inverted_index.study | 16 |
| abstract_inverted_index.under | 30 |
| abstract_inverted_index.while | 162 |
| abstract_inverted_index.3.49%, | 225 |
| abstract_inverted_index.always | 122 |
| abstract_inverted_index.bottom | 120, 127 |
| abstract_inverted_index.curved | 22, 101, 209 |
| abstract_inverted_index.effect | 148 |
| abstract_inverted_index.field. | 177 |
| abstract_inverted_index.model, | 214 |
| abstract_inverted_index.molten | 38 |
| abstract_inverted_index.other. | 145 |
| abstract_inverted_index.slower | 185, 196 |
| abstract_inverted_index.speed, | 187, 198 |
| abstract_inverted_index.affects | 166 |
| abstract_inverted_index.between | 81 |
| abstract_inverted_index.coating | 68, 98, 113, 141, 159, 164, 202 |
| abstract_inverted_index.complex | 9 |
| abstract_inverted_index.effect, | 48 |
| abstract_inverted_index.greater | 180, 192 |
| abstract_inverted_index.growth, | 161 |
| abstract_inverted_index.induced | 149 |
| abstract_inverted_index.maximum | 206 |
| abstract_inverted_index.power), | 46 |
| abstract_inverted_index.primary | 156 |
| abstract_inverted_index.source, | 172 |
| abstract_inverted_index.studied | 75 |
| abstract_inverted_index.surface | 10, 23, 102, 210 |
| abstract_inverted_index.thermal | 167, 171 |
| abstract_inverted_index.various | 27, 71 |
| abstract_inverted_index.altering | 58 |
| abstract_inverted_index.cladding | 5, 25, 40, 59, 110 |
| abstract_inverted_index.coupling | 32 |
| abstract_inverted_index.dynamics | 35 |
| abstract_inverted_index.exhibits | 220 |
| abstract_inverted_index.increase | 200 |
| abstract_inverted_index.scanning | 28, 72, 91, 116, 186, 197 |
| abstract_inverted_index.transfer | 168 |
| abstract_inverted_index.(scanning | 42 |
| abstract_inverted_index.Employing | 178 |
| abstract_inverted_index.Marangoni | 47, 147 |
| abstract_inverted_index.Utilizing | 53 |
| abstract_inverted_index.cladding. | 104, 212 |
| abstract_inverted_index.developed | 17 |
| abstract_inverted_index.following | 85 |
| abstract_inverted_index.influence | 143 |
| abstract_inverted_index.numerical | 19 |
| abstract_inverted_index.practical | 231 |
| abstract_inverted_index.precision | 229 |
| abstract_inverted_index.thickness | 69, 99, 114, 142, 160, 165, 203 |
| abstract_inverted_index.variation | 66 |
| abstract_inverted_index.Regardless | 105 |
| abstract_inverted_index.Variations | 89 |
| abstract_inverted_index.contrasted | 216 |
| abstract_inverted_index.difference | 132 |
| abstract_inverted_index.parameters | 41 |
| abstract_inverted_index.processing | 11 |
| abstract_inverted_index.signifying | 226 |
| abstract_inverted_index.technology | 6 |
| abstract_inverted_index.ultimately | 173 |
| abstract_inverted_index.combination | 108, 190 |
| abstract_inverted_index.considering | 33 |
| abstract_inverted_index.differences | 95 |
| abstract_inverted_index.discoveries | 86 |
| abstract_inverted_index.discrepancy | 223 |
| abstract_inverted_index.engineering | 232 |
| abstract_inverted_index.hot-working | 13 |
| abstract_inverted_index.influencing | 174 |
| abstract_inverted_index.interaction | 80 |
| abstract_inverted_index.parameters, | 60, 111 |
| abstract_inverted_index.temperature | 62, 138, 152, 176, 207 |
| abstract_inverted_index.transition. | 52 |
| abstract_inverted_index.experimental | 218 |
| abstract_inverted_index.trajectories | 29, 73, 92 |
| abstract_inverted_index.approximately | 134 |
| abstract_inverted_index.comprehensive | 222 |
| abstract_inverted_index.multi-physics | 31 |
| abstract_inverted_index.applicability. | 233 |
| abstract_inverted_index.solid–liquid | 50 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 97 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| citation_normalized_percentile.value | 0.95546439 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |