A 3D Voxel-based Approach for Fast Aerodynamic Analyses in Conceptual Design Phases Article Swipe
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.14733/cadaps.2022.1236-1254
The panel method is a potential-flow numerical approach that shows valuable performances to solve aerodynamic problems in the preliminary design stages. It shows a lower computational effort compared with Computational Fluid Dynamics, wind tunnel tests or ‘on the field’ experiments. However, the 3D surface discretization in rectangular panels is tedious and must be often carried out \nmanually from scratch. Moreover, the panel method can’t be used to compute the overall drag force due to strong assumptions. To solve these two challenging aspects, the authors propose a voxel-based fluid dynamic approach integrating its programmed functions within a panel method. Voxelization is used to automatically distribute coherently the panels along the external surface of a 3D model in an \nautomated way. A parametric study is included to demonstrate how the voxel resolution affects the aerodynamic results and provide guidelines for future research. Overall drag is estimated using corrections for both the skin friction and the form drag sources. The Ahmed body case study is included and demonstrates a good agreement between the voxel-based fluid dynamics approach and the \nliterature benchmarking values, but with lower computational efforts. Further studies involving more complex shapes should be performed to better understand the performances and limitations of the approach.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.14733/cadaps.2022.1236-1254
- OA Status
- diamond
- Cited By
- 1
- References
- 17
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4220854782
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4220854782Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.14733/cadaps.2022.1236-1254Digital Object Identifier
- Title
-
A 3D Voxel-based Approach for Fast Aerodynamic Analyses in Conceptual Design PhasesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-03-09Full publication date if available
- Authors
-
Antonio Baccaiaglia, Alessandro Ceruti, Alfredo LiveraniList of authors in order
- Landing page
-
https://doi.org/10.14733/cadaps.2022.1236-1254Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.14733/cadaps.2022.1236-1254Direct OA link when available
- Concepts
-
Aerodynamics, Voxel, Conceptual design, Computer science, Environmental science, Aerospace engineering, Engineering, Artificial intelligence, Human–computer interactionTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 1Per-year citation counts (last 5 years)
- References (count)
-
17Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4220854782 |
|---|---|
| doi | https://doi.org/10.14733/cadaps.2022.1236-1254 |
| ids.doi | https://doi.org/10.14733/cadaps.2022.1236-1254 |
| ids.openalex | https://openalex.org/W4220854782 |
| fwci | 0.15856375 |
| type | article |
| title | A 3D Voxel-based Approach for Fast Aerodynamic Analyses in Conceptual Design Phases |
| biblio.issue | 6 |
| biblio.volume | 19 |
| biblio.last_page | 1254 |
| biblio.first_page | 1236 |
| topics[0].id | https://openalex.org/T11159 |
| topics[0].field.id | https://openalex.org/fields/22 |
| topics[0].field.display_name | Engineering |
| topics[0].score | 0.8772000074386597 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2209 |
| topics[0].subfield.display_name | Industrial and Manufacturing Engineering |
| topics[0].display_name | Manufacturing Process and Optimization |
| topics[1].id | https://openalex.org/T10481 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.8633000254631042 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1704 |
| topics[1].subfield.display_name | Computer Graphics and Computer-Aided Design |
| topics[1].display_name | Computer Graphics and Visualization Techniques |
| topics[2].id | https://openalex.org/T10719 |
| topics[2].field.id | https://openalex.org/fields/22 |
| topics[2].field.display_name | Engineering |
| topics[2].score | 0.8228999972343445 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2206 |
| topics[2].subfield.display_name | Computational Mechanics |
| topics[2].display_name | 3D Shape Modeling and Analysis |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C13393347 |
| concepts[0].level | 2 |
| concepts[0].score | 0.75658118724823 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q8424 |
| concepts[0].display_name | Aerodynamics |
| concepts[1].id | https://openalex.org/C54170458 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6516696810722351 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q663554 |
| concepts[1].display_name | Voxel |
| concepts[2].id | https://openalex.org/C120208923 |
| concepts[2].level | 2 |
| concepts[2].score | 0.5816595554351807 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q5158435 |
| concepts[2].display_name | Conceptual design |
| concepts[3].id | https://openalex.org/C41008148 |
| concepts[3].level | 0 |
| concepts[3].score | 0.46482565999031067 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[3].display_name | Computer science |
| concepts[4].id | https://openalex.org/C39432304 |
| concepts[4].level | 0 |
| concepts[4].score | 0.3667576313018799 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q188847 |
| concepts[4].display_name | Environmental science |
| concepts[5].id | https://openalex.org/C146978453 |
| concepts[5].level | 1 |
| concepts[5].score | 0.34156256914138794 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q3798668 |
| concepts[5].display_name | Aerospace engineering |
| concepts[6].id | https://openalex.org/C127413603 |
| concepts[6].level | 0 |
| concepts[6].score | 0.2732000946998596 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[6].display_name | Engineering |
| concepts[7].id | https://openalex.org/C154945302 |
| concepts[7].level | 1 |
| concepts[7].score | 0.23939743638038635 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[7].display_name | Artificial intelligence |
| concepts[8].id | https://openalex.org/C107457646 |
| concepts[8].level | 1 |
| concepts[8].score | 0.12165078520774841 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q207434 |
| concepts[8].display_name | Human–computer interaction |
| keywords[0].id | https://openalex.org/keywords/aerodynamics |
| keywords[0].score | 0.75658118724823 |
| keywords[0].display_name | Aerodynamics |
| keywords[1].id | https://openalex.org/keywords/voxel |
| keywords[1].score | 0.6516696810722351 |
| keywords[1].display_name | Voxel |
| keywords[2].id | https://openalex.org/keywords/conceptual-design |
| keywords[2].score | 0.5816595554351807 |
| keywords[2].display_name | Conceptual design |
| keywords[3].id | https://openalex.org/keywords/computer-science |
| keywords[3].score | 0.46482565999031067 |
| keywords[3].display_name | Computer science |
| keywords[4].id | https://openalex.org/keywords/environmental-science |
| keywords[4].score | 0.3667576313018799 |
| keywords[4].display_name | Environmental science |
| keywords[5].id | https://openalex.org/keywords/aerospace-engineering |
| keywords[5].score | 0.34156256914138794 |
| keywords[5].display_name | Aerospace engineering |
| keywords[6].id | https://openalex.org/keywords/engineering |
| keywords[6].score | 0.2732000946998596 |
| keywords[6].display_name | Engineering |
| keywords[7].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[7].score | 0.23939743638038635 |
| keywords[7].display_name | Artificial intelligence |
| keywords[8].id | https://openalex.org/keywords/human–computer-interaction |
| keywords[8].score | 0.12165078520774841 |
| keywords[8].display_name | Human–computer interaction |
| language | en |
| locations[0].id | doi:10.14733/cadaps.2022.1236-1254 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S143715161 |
| locations[0].source.issn | 1686-4360 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 1686-4360 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Computer-Aided Design and Applications |
| locations[0].source.host_organization | https://openalex.org/P4310320547 |
| locations[0].source.host_organization_name | Taylor & Francis |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320547 |
| locations[0].source.host_organization_lineage_names | Taylor & Francis |
| locations[0].license | |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Computer-Aided Design and Applications |
| locations[0].landing_page_url | https://doi.org/10.14733/cadaps.2022.1236-1254 |
| locations[1].id | pmh:oai:cris.unibo.it:11585/878461 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306402579 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) |
| locations[1].source.host_organization | https://openalex.org/I4210117483 |
| locations[1].source.host_organization_name | Istituto di Ematologia di Bologna |
| locations[1].source.host_organization_lineage | https://openalex.org/I4210117483 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | submittedVersion |
| locations[1].raw_type | info:eu-repo/semantics/article |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | |
| locations[1].landing_page_url | https://hdl.handle.net/11585/878461 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5110848037 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Antonio Baccaiaglia |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Antonio Baccaiaglia |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5063333786 |
| authorships[1].author.orcid | https://orcid.org/0000-0001-7947-3932 |
| authorships[1].author.display_name | Alessandro Ceruti |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Alessandro Ceruti |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5031275961 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-3255-9381 |
| authorships[2].author.display_name | Alfredo Liverani |
| authorships[2].author_position | last |
| authorships[2].raw_author_name | Alfredo Liverani |
| authorships[2].is_corresponding | False |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.14733/cadaps.2022.1236-1254 |
| open_access.oa_status | diamond |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | A 3D Voxel-based Approach for Fast Aerodynamic Analyses in Conceptual Design Phases |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11159 |
| primary_topic.field.id | https://openalex.org/fields/22 |
| primary_topic.field.display_name | Engineering |
| primary_topic.score | 0.8772000074386597 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2209 |
| primary_topic.subfield.display_name | Industrial and Manufacturing Engineering |
| primary_topic.display_name | Manufacturing Process and Optimization |
| related_works | https://openalex.org/W2899084033, https://openalex.org/W2080947273, https://openalex.org/W2988329389, https://openalex.org/W2912225744, https://openalex.org/W2522563378, https://openalex.org/W4376644320, https://openalex.org/W2061858060, https://openalex.org/W2792874006, https://openalex.org/W2904407366, https://openalex.org/W2350154987 |
| cited_by_count | 1 |
| counts_by_year[0].year | 2024 |
| counts_by_year[0].cited_by_count | 1 |
| locations_count | 2 |
| best_oa_location.id | doi:10.14733/cadaps.2022.1236-1254 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S143715161 |
| best_oa_location.source.issn | 1686-4360 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 1686-4360 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | Computer-Aided Design and Applications |
| best_oa_location.source.host_organization | https://openalex.org/P4310320547 |
| best_oa_location.source.host_organization_name | Taylor & Francis |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310320547 |
| best_oa_location.source.host_organization_lineage_names | Taylor & Francis |
| best_oa_location.license | |
| best_oa_location.pdf_url | |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Computer-Aided Design and Applications |
| best_oa_location.landing_page_url | https://doi.org/10.14733/cadaps.2022.1236-1254 |
| primary_location.id | doi:10.14733/cadaps.2022.1236-1254 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S143715161 |
| primary_location.source.issn | 1686-4360 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 1686-4360 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Computer-Aided Design and Applications |
| primary_location.source.host_organization | https://openalex.org/P4310320547 |
| primary_location.source.host_organization_name | Taylor & Francis |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320547 |
| primary_location.source.host_organization_lineage_names | Taylor & Francis |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Computer-Aided Design and Applications |
| primary_location.landing_page_url | https://doi.org/10.14733/cadaps.2022.1236-1254 |
| publication_date | 2022-03-09 |
| publication_year | 2022 |
| referenced_works | https://openalex.org/W2737913221, https://openalex.org/W2792767554, https://openalex.org/W1984382135, https://openalex.org/W2765432977, https://openalex.org/W2965014231, https://openalex.org/W4240893531, https://openalex.org/W2790828991, https://openalex.org/W1977082206, https://openalex.org/W4301208057, https://openalex.org/W2911826761, https://openalex.org/W2809563720, https://openalex.org/W2985665611, https://openalex.org/W2982538121, https://openalex.org/W2897234932, https://openalex.org/W2783737280, https://openalex.org/W2899709133, https://openalex.org/W2086432285 |
| referenced_works_count | 17 |
| abstract_inverted_index.A | 117 |
| abstract_inverted_index.a | 4, 23, 84, 94, 111, 163 |
| abstract_inverted_index.3D | 42, 112 |
| abstract_inverted_index.It | 21 |
| abstract_inverted_index.To | 75 |
| abstract_inverted_index.be | 52, 63, 188 |
| abstract_inverted_index.in | 16, 45, 114 |
| abstract_inverted_index.is | 3, 48, 98, 120, 140, 159 |
| abstract_inverted_index.of | 110, 197 |
| abstract_inverted_index.or | 35 |
| abstract_inverted_index.to | 12, 65, 72, 100, 122, 190 |
| abstract_inverted_index.The | 0, 154 |
| abstract_inverted_index.and | 50, 132, 149, 161, 172, 195 |
| abstract_inverted_index.but | 176 |
| abstract_inverted_index.due | 71 |
| abstract_inverted_index.for | 135, 144 |
| abstract_inverted_index.how | 124 |
| abstract_inverted_index.its | 90 |
| abstract_inverted_index.the | 17, 37, 41, 59, 67, 81, 104, 107, 125, 129, 146, 150, 167, 193, 198 |
| abstract_inverted_index.two | 78 |
| abstract_inverted_index.body | 156 |
| abstract_inverted_index.both | 145 |
| abstract_inverted_index.case | 157 |
| abstract_inverted_index.drag | 69, 139, 152 |
| abstract_inverted_index.form | 151 |
| abstract_inverted_index.from | 56 |
| abstract_inverted_index.good | 164 |
| abstract_inverted_index.more | 184 |
| abstract_inverted_index.must | 51 |
| abstract_inverted_index.skin | 147 |
| abstract_inverted_index.that | 8 |
| abstract_inverted_index.used | 64, 99 |
| abstract_inverted_index.way. | 116 |
| abstract_inverted_index.wind | 32 |
| abstract_inverted_index.with | 28, 177 |
| abstract_inverted_index.Ahmed | 155 |
| abstract_inverted_index.Fluid | 30 |
| abstract_inverted_index.along | 106 |
| abstract_inverted_index.fluid | 86, 169 |
| abstract_inverted_index.force | 70 |
| abstract_inverted_index.lower | 24, 178 |
| abstract_inverted_index.model | 113 |
| abstract_inverted_index.often | 53 |
| abstract_inverted_index.panel | 1, 60, 95 |
| abstract_inverted_index.shows | 9, 22 |
| abstract_inverted_index.solve | 13, 76 |
| abstract_inverted_index.study | 119, 158 |
| abstract_inverted_index.tests | 34 |
| abstract_inverted_index.these | 77 |
| abstract_inverted_index.using | 142 |
| abstract_inverted_index.voxel | 126 |
| abstract_inverted_index.‘on | 36 |
| abstract_inverted_index.better | 191 |
| abstract_inverted_index.design | 19 |
| abstract_inverted_index.effort | 26 |
| abstract_inverted_index.future | 136 |
| abstract_inverted_index.method | 2, 61 |
| abstract_inverted_index.panels | 47, 105 |
| abstract_inverted_index.shapes | 186 |
| abstract_inverted_index.should | 187 |
| abstract_inverted_index.strong | 73 |
| abstract_inverted_index.tunnel | 33 |
| abstract_inverted_index.within | 93 |
| abstract_inverted_index.Further | 181 |
| abstract_inverted_index.Overall | 138 |
| abstract_inverted_index.affects | 128 |
| abstract_inverted_index.authors | 82 |
| abstract_inverted_index.between | 166 |
| abstract_inverted_index.can’t | 62 |
| abstract_inverted_index.carried | 54 |
| abstract_inverted_index.complex | 185 |
| abstract_inverted_index.compute | 66 |
| abstract_inverted_index.dynamic | 87 |
| abstract_inverted_index.method. | 96 |
| abstract_inverted_index.overall | 68 |
| abstract_inverted_index.propose | 83 |
| abstract_inverted_index.provide | 133 |
| abstract_inverted_index.results | 131 |
| abstract_inverted_index.stages. | 20 |
| abstract_inverted_index.studies | 182 |
| abstract_inverted_index.surface | 43, 109 |
| abstract_inverted_index.tedious | 49 |
| abstract_inverted_index.values, | 175 |
| abstract_inverted_index.However, | 40 |
| abstract_inverted_index.approach | 7, 88, 171 |
| abstract_inverted_index.aspects, | 80 |
| abstract_inverted_index.compared | 27 |
| abstract_inverted_index.dynamics | 170 |
| abstract_inverted_index.efforts. | 180 |
| abstract_inverted_index.external | 108 |
| abstract_inverted_index.field’ | 38 |
| abstract_inverted_index.friction | 148 |
| abstract_inverted_index.included | 121, 160 |
| abstract_inverted_index.problems | 15 |
| abstract_inverted_index.scratch. | 57 |
| abstract_inverted_index.sources. | 153 |
| abstract_inverted_index.valuable | 10 |
| abstract_inverted_index.Dynamics, | 31 |
| abstract_inverted_index.Moreover, | 58 |
| abstract_inverted_index.agreement | 165 |
| abstract_inverted_index.approach. | 199 |
| abstract_inverted_index.estimated | 141 |
| abstract_inverted_index.functions | 92 |
| abstract_inverted_index.involving | 183 |
| abstract_inverted_index.numerical | 6 |
| abstract_inverted_index.performed | 189 |
| abstract_inverted_index.research. | 137 |
| abstract_inverted_index.coherently | 103 |
| abstract_inverted_index.distribute | 102 |
| abstract_inverted_index.guidelines | 134 |
| abstract_inverted_index.parametric | 118 |
| abstract_inverted_index.programmed | 91 |
| abstract_inverted_index.resolution | 127 |
| abstract_inverted_index.understand | 192 |
| abstract_inverted_index.aerodynamic | 14, 130 |
| abstract_inverted_index.challenging | 79 |
| abstract_inverted_index.corrections | 143 |
| abstract_inverted_index.demonstrate | 123 |
| abstract_inverted_index.integrating | 89 |
| abstract_inverted_index.limitations | 196 |
| abstract_inverted_index.preliminary | 18 |
| abstract_inverted_index.rectangular | 46 |
| abstract_inverted_index.voxel-based | 85, 168 |
| abstract_inverted_index.Voxelization | 97 |
| abstract_inverted_index.assumptions. | 74 |
| abstract_inverted_index.benchmarking | 174 |
| abstract_inverted_index.demonstrates | 162 |
| abstract_inverted_index.experiments. | 39 |
| abstract_inverted_index.performances | 11, 194 |
| abstract_inverted_index.Computational | 29 |
| abstract_inverted_index.automatically | 101 |
| abstract_inverted_index.computational | 25, 179 |
| abstract_inverted_index.discretization | 44 |
| abstract_inverted_index.potential-flow | 5 |
| abstract_inverted_index.an \nautomated | 115 |
| abstract_inverted_index.out \nmanually | 55 |
| abstract_inverted_index.the \nliterature | 173 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 90 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 3 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/9 |
| sustainable_development_goals[0].score | 0.5699999928474426 |
| sustainable_development_goals[0].display_name | Industry, innovation and infrastructure |
| citation_normalized_percentile.value | 0.49490183 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |