Hot Off the Press: Soft computing methods in the solution of an inverse heat transfer problem with phase change

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F24%3APU155642" target="_blank" >RIV/00216305:26210/24:PU155642 - isvavai.cz</a>

Výsledek na webu

<a href="https://dl.acm.org/doi/10.1145/3638530.3664073" target="_blank" >https://dl.acm.org/doi/10.1145/3638530.3664073</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3638530.3664073" target="_blank" >10.1145/3638530.3664073</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Hot Off the Press: Soft computing methods in the solution of an inverse heat transfer problem with phase change

Popis výsledku v původním jazyce

This Hot Off the Press paper summarizes our recent work “Soft computing methods in the solution of an inverse heat transfer problem with phase change: A comparative study” published in Engineering Applications of Artificial Intelligence [5]. In the paper, we study inverse heat transfer problems with phase change, where the boundary heat flux is estimated. Such problems are ill-posed and their solution is challenging. Although there were conventional developed for this problem in the past, they are not well-suited for cases including phase change, as these contain strong nonlinearities that bring additional computational difficulties. For such problems, soft computing methods provide a promising approach. Four methods from distinct categories of techniques are applied to this problem and thoroughly compared - the conventional gradientbased method, a fuzzy logic-based method, a population-based meta-heuristic, and a surrogate-assisted method. A reformulation of the problem utilizing dimension reduction and decomposition schemes was developed, bringing extensive computational improvements. The metaheuristic and the surrogate-based methods showed superior performance. Their performance was also rather stable and insensitive to the location of the temperature sensor (the source of data for the inverse estimation). A Zenodo repository with the complete implementation of all considered problems and methods is available

Název v anglickém jazyce

Hot Off the Press: Soft computing methods in the solution of an inverse heat transfer problem with phase change

Popis výsledku anglicky

This Hot Off the Press paper summarizes our recent work “Soft computing methods in the solution of an inverse heat transfer problem with phase change: A comparative study” published in Engineering Applications of Artificial Intelligence [5]. In the paper, we study inverse heat transfer problems with phase change, where the boundary heat flux is estimated. Such problems are ill-posed and their solution is challenging. Although there were conventional developed for this problem in the past, they are not well-suited for cases including phase change, as these contain strong nonlinearities that bring additional computational difficulties. For such problems, soft computing methods provide a promising approach. Four methods from distinct categories of techniques are applied to this problem and thoroughly compared - the conventional gradientbased method, a fuzzy logic-based method, a population-based meta-heuristic, and a surrogate-assisted method. A reformulation of the problem utilizing dimension reduction and decomposition schemes was developed, bringing extensive computational improvements. The metaheuristic and the surrogate-based methods showed superior performance. Their performance was also rather stable and insensitive to the location of the temperature sensor (the source of data for the inverse estimation). A Zenodo repository with the complete implementation of all considered problems and methods is available

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/GA22-31173S" target="_blank" >GA22-31173S: Adaptivní soft computing framework pro řešení inverzních úloh přenosu tepla se změnou skupenství</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2024 Genetic and Evolutionary Computation Conference Companion

ISBN

979-8-4007-0495-6

ISSN

—

e-ISSN

—

Počet stran výsledku

2

Strana od-do

47-48

Název nakladatele

Association for Computing Machinery, Inc

Místo vydání

neuveden

Místo konání akce

Melbourne

Datum konání akce

14. 7. 2024

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—