Artificial intelligence for simulation of soot deposits- from 2D to 3D estimates
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388998%3A_____%2F25%3A00642327" target="_blank" >RIV/61388998:_____/25:00642327 - isvavai.cz</a>
Alternative codes found
RIV/60461373:22340/25:43933486
Result on the web
<a href="https://tpfm.it.cas.cz/im/im/proceeding/2025/18" target="_blank" >https://tpfm.it.cas.cz/im/im/proceeding/2025/18</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.14311/TPFM.2025.018" target="_blank" >10.14311/TPFM.2025.018</a>
Alternative languages
Result language
angličtina
Original language name
Artificial intelligence for simulation of soot deposits- from 2D to 3D estimates
Original language description
The accumulation of soot within the porous microstructure of catalytic filters (CFs) impacts the overall performance of the device, making the prediction of soot distribution a major challenge in the design of CFs. We previously developed a neural network that leverages convolutional autoencoders and fully-connected layers and demonstrated that this network can effectively estimate the distribution of deposited soot within two-dimensional model microstructures. In this contribution, we expand on the previously devised model, by exploring its possible extension to processing three-dimensional data from real-world catalytic filter microstructures. Specifically, we examine and compare three principally different approaches to generating three-dimensional estimates, spanning from a posteriori reconstructions to the application of fully three-dimensional convolutional networks.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
<a href="/en/project/EH23_020%2F0008501" target="_blank" >EH23_020/0008501: Metamaterials for thermally stressed machine components</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Topical Problems of Fluid Mechanics 2025
ISBN
978-80-87012-05-5
ISSN
2336-5781
e-ISSN
—
Number of pages
8
Pages from-to
135-142
Publisher name
Ústav termomechaniky AV ČR v. v. i.
Place of publication
Prague
Event location
Praha
Event date
Feb 12, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001597458700018