Using genetic programming and the stress equilibrium method to obtain the un-stressed lattice parameter for calculating residual stresses

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F26722445%3A_____%2F23%3AN0000011" target="_blank" >RIV/26722445:_____/23:N0000011 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S2238785423000455" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2238785423000455</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.jmrt.2023.01.045" target="_blank" >10.1016/j.jmrt.2023.01.045</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Using genetic programming and the stress equilibrium method to obtain the un-stressed lattice parameter for calculating residual stresses

Popis výsledku v původním jazyce

While it is known that the crucial requirement for investigating residual stresses using diffraction is the use of a reliable unstressed lattice parameter, the robustness of genetic programming to accomplish this task will be shown here. The parameter obtained from genetic programming in the context of the stress equilibrium method is compared with values resulting from other approaches of this method. This gives support and strength to the use of genetic programming to investigate microscopic residual stresses from real, experimental information. This is, so far, absent in theoretical models recently proposed.Whereas residual stress fields determination by diffraction methods at a macroscopic scale (scale of the sample size) offers no serious difficulties, the stress determination at the microscopic scale (i.e., stresses varying among neighboring grains) is still a pending task. Understanding these microscopic stresses is, however, of a great technological importance, as they may be the cause of fatigue damage and/or stress corrosion cracking in many structural components. Despite that theoretical but solid alternatives, for example those based on phase field models, are being used to unveil the stresses developed at the grain scale after known thermo-mechanical treatments, the results obtained still need to be assessed by experimental results linked to real microstructures. On the contrary, recent works propose the use of genetic programming approaches to investigate these micro-scopic stresses on the basis of data recorded from real stressed samples; specifically, fromneutron diffraction and detailed knowledge of the microstructure and its characteristics; e.g., the texture gradient developed.

Název v anglickém jazyce

Using genetic programming and the stress equilibrium method to obtain the un-stressed lattice parameter for calculating residual stresses

Popis výsledku anglicky

While it is known that the crucial requirement for investigating residual stresses using diffraction is the use of a reliable unstressed lattice parameter, the robustness of genetic programming to accomplish this task will be shown here. The parameter obtained from genetic programming in the context of the stress equilibrium method is compared with values resulting from other approaches of this method. This gives support and strength to the use of genetic programming to investigate microscopic residual stresses from real, experimental information. This is, so far, absent in theoretical models recently proposed.Whereas residual stress fields determination by diffraction methods at a macroscopic scale (scale of the sample size) offers no serious difficulties, the stress determination at the microscopic scale (i.e., stresses varying among neighboring grains) is still a pending task. Understanding these microscopic stresses is, however, of a great technological importance, as they may be the cause of fatigue damage and/or stress corrosion cracking in many structural components. Despite that theoretical but solid alternatives, for example those based on phase field models, are being used to unveil the stresses developed at the grain scale after known thermo-mechanical treatments, the results obtained still need to be assessed by experimental results linked to real microstructures. On the contrary, recent works propose the use of genetic programming approaches to investigate these micro-scopic stresses on the basis of data recorded from real stressed samples; specifically, fromneutron diffraction and detailed knowledge of the microstructure and its characteristics; e.g., the texture gradient developed.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20501 - Materials engineering

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název periodika

Journal of Materials research and Technology

ISSN

2238-7854

e-ISSN

2214-0697

Svazek periodika

23

Číslo periodika v rámci svazku

March-April

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

6

Strana od-do

1543-1558

Kód UT WoS článku

000963870000001

EID výsledku v databázi Scopus

2-s2.0-85149684009