Q3681610 (Q3681610): Difference between revisions
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(Created claim: summary (P836): The vast majority of materials used in the metallurgical and nuclear industry are polycrystalline: they are composed of grains of different crystallographic orientation and separated by grain joints (JG) representing a lack of accommodation between crystals. While the mechanical properties of the materials depend partly on the nature of the grains, they are also largely determined by the characteristics of the JG. An active field of study is the...) |
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The vast majority of materials used in the metallurgical and nuclear industry are polycrystalline: they are composed of grains of different crystallographic orientation and separated by grain joints (JG) representing a lack of accommodation between crystals. While the mechanical properties of the materials depend partly on the nature of the grains, they are also largely determined by the characteristics of the JG. An active field of study is the characterisation of JG in externally constrained materials, particularly in the nuclear field. The physical theme of this project will therefore be that of the study of constrained JGs in the context of nuclear materials, austenitic steels in mind. In this context, particular attention will be paid to the phenomenon of JG segregation, which can have a major influence on JG characteristics, and incidentally on the physical properties of the material. Many questions remain open at present on this complex issue, particularly with regard to the solute dragging mechanism, the dislocation-solute interactions associated with the concept of an energy trap, or the modification of JG energy due to solutes. JG physics is particularly complex, and its fine understanding is a prerequisite for any prediction of the mechanical, physical and chemical properties of polycrystalline materials in use condition. To meet this challenge, the developed approach must be both experimental and digital. On the one hand, the experimental approach provides a large amount of JG data in real materials, but proves to be complex and costly to implement. Moreover, compiling, classifying and using all these experimental data to extract relevant information is a real challenge. On the other hand, the digital approach has the advantage of being less costly and faster to deliver results than the experimental approach.In this context, the ERAFEN team of the Rouen PMG developed the digital approach to quasi-particles (QA), which has already proven its ability to simulate the kinetics of JG under stress with precision approaching molecular dynamics (MD) results, but at a time cost of several hundred times less. However, although effective, this method has been used so far only on JG models, which are still far from real materials. (English) | |||||||||||||||
| Property / summary: The vast majority of materials used in the metallurgical and nuclear industry are polycrystalline: they are composed of grains of different crystallographic orientation and separated by grain joints (JG) representing a lack of accommodation between crystals. While the mechanical properties of the materials depend partly on the nature of the grains, they are also largely determined by the characteristics of the JG. An active field of study is the characterisation of JG in externally constrained materials, particularly in the nuclear field. The physical theme of this project will therefore be that of the study of constrained JGs in the context of nuclear materials, austenitic steels in mind. In this context, particular attention will be paid to the phenomenon of JG segregation, which can have a major influence on JG characteristics, and incidentally on the physical properties of the material. Many questions remain open at present on this complex issue, particularly with regard to the solute dragging mechanism, the dislocation-solute interactions associated with the concept of an energy trap, or the modification of JG energy due to solutes. JG physics is particularly complex, and its fine understanding is a prerequisite for any prediction of the mechanical, physical and chemical properties of polycrystalline materials in use condition. To meet this challenge, the developed approach must be both experimental and digital. On the one hand, the experimental approach provides a large amount of JG data in real materials, but proves to be complex and costly to implement. Moreover, compiling, classifying and using all these experimental data to extract relevant information is a real challenge. On the other hand, the digital approach has the advantage of being less costly and faster to deliver results than the experimental approach.In this context, the ERAFEN team of the Rouen PMG developed the digital approach to quasi-particles (QA), which has already proven its ability to simulate the kinetics of JG under stress with precision approaching molecular dynamics (MD) results, but at a time cost of several hundred times less. However, although effective, this method has been used so far only on JG models, which are still far from real materials. (English) / rank | |||||||||||||||
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| Property / summary: The vast majority of materials used in the metallurgical and nuclear industry are polycrystalline: they are composed of grains of different crystallographic orientation and separated by grain joints (JG) representing a lack of accommodation between crystals. While the mechanical properties of the materials depend partly on the nature of the grains, they are also largely determined by the characteristics of the JG. An active field of study is the characterisation of JG in externally constrained materials, particularly in the nuclear field. The physical theme of this project will therefore be that of the study of constrained JGs in the context of nuclear materials, austenitic steels in mind. In this context, particular attention will be paid to the phenomenon of JG segregation, which can have a major influence on JG characteristics, and incidentally on the physical properties of the material. Many questions remain open at present on this complex issue, particularly with regard to the solute dragging mechanism, the dislocation-solute interactions associated with the concept of an energy trap, or the modification of JG energy due to solutes. JG physics is particularly complex, and its fine understanding is a prerequisite for any prediction of the mechanical, physical and chemical properties of polycrystalline materials in use condition. To meet this challenge, the developed approach must be both experimental and digital. On the one hand, the experimental approach provides a large amount of JG data in real materials, but proves to be complex and costly to implement. Moreover, compiling, classifying and using all these experimental data to extract relevant information is a real challenge. On the other hand, the digital approach has the advantage of being less costly and faster to deliver results than the experimental approach.In this context, the ERAFEN team of the Rouen PMG developed the digital approach to quasi-particles (QA), which has already proven its ability to simulate the kinetics of JG under stress with precision approaching molecular dynamics (MD) results, but at a time cost of several hundred times less. However, although effective, this method has been used so far only on JG models, which are still far from real materials. (English) / qualifier | |||||||||||||||
point in time: 18 November 2021
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Revision as of 17:03, 18 November 2021
Project Q3681610 in France
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | No label defined |
Project Q3681610 in France |
Statements
65,000.00 Euro
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130,000.0 Euro
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50.0 percent
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31 August 2021
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CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE
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49°12'0.97"N, 0°20'57.37"W
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14052
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La grande majorité des matériaux utilisés dans l'industrie métallurgique et le nucléaire sont polycristallins : ils sont composés de grains d'orientations cristallographiques différentes et séparés par des joints de grains (JG) représentant un défaut d'accommodation entre cristaux. Si les propriétés mécaniques des matériaux dépendent pour partie de la nature des grains, elles sont aussilargement déterminées par les caractéristiques des JG. Un champ d'étude actif est celui de la caractérisation des JG dans les matériaux soumis à une contrainte extérieure, et plus particulièrement dans le domaine du nucléaire. La thématique physique de ce projet sera donc celle de l'étude des JG sous contrainte dans le contexte des matériaux du nucléaire, aciers austénitiques en tête. Dans ce cadre, une attention particulière sera portée au phénomène de ségrégation aux JG qui peut avoir une influence majeure sur les caractéristiques des JG, et incidemment sur les propriétés physiques du matériau. De nombreuses questions restent ouvertes à l'heure actuelle sur cette thématique complexe, vis à vis notamment du mécanisme de traînage de soluté, des interactions dislocation-soluté associées à la notion de piège énergétique, ou encore de la modification de l'énergie des JG due aux solutés.La physique des JG s'avère particulièrement complexe, et sa compréhension fine est un prérequis à toute prédiction des propriétés mécaniques, physiques et chimiques des matériaux polycristallins en condition d'usage. Pour répondre à cet enjeu, l'approche développée doit être à la fois expérimentale et numérique. D'un côté, l'approche expérimentale fournit une grande quantité des données sur les JG dans des matériaux réels, mais se révèle complexe et coûteuse à mettre en oeuvre. De plus, compiler, classer et exploiter toutes ces données expérimentales pour en extraire les informations pertinentes constitue un véritable challenge. D'un autre côté, l'approche numérique, elle, présentel'avantage d'être moins coûteuse et plus rapide à fournir des résultats que l'approche expérimentale.Dans ce cadre, l'équipe ERAFEN du GPM de Rouen a développé l'approche numérique des quasiparticules(QA), qui a déjà prouvé sa capacité à simuler la cinétique de JG sous contrainte avec une précision s'approchant des résultats de dynamique moléculaire (MD), mais pour un coût en temps de plusieurs centaines de fois inférieur. Cependant, bien que performante, cette méthode n'a été utilisée jusqu'à présent que sur des JG modèles, encore éloignés des matériaux réels. (French)
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The vast majority of materials used in the metallurgical and nuclear industry are polycrystalline: they are composed of grains of different crystallographic orientation and separated by grain joints (JG) representing a lack of accommodation between crystals. While the mechanical properties of the materials depend partly on the nature of the grains, they are also largely determined by the characteristics of the JG. An active field of study is the characterisation of JG in externally constrained materials, particularly in the nuclear field. The physical theme of this project will therefore be that of the study of constrained JGs in the context of nuclear materials, austenitic steels in mind. In this context, particular attention will be paid to the phenomenon of JG segregation, which can have a major influence on JG characteristics, and incidentally on the physical properties of the material. Many questions remain open at present on this complex issue, particularly with regard to the solute dragging mechanism, the dislocation-solute interactions associated with the concept of an energy trap, or the modification of JG energy due to solutes. JG physics is particularly complex, and its fine understanding is a prerequisite for any prediction of the mechanical, physical and chemical properties of polycrystalline materials in use condition. To meet this challenge, the developed approach must be both experimental and digital. On the one hand, the experimental approach provides a large amount of JG data in real materials, but proves to be complex and costly to implement. Moreover, compiling, classifying and using all these experimental data to extract relevant information is a real challenge. On the other hand, the digital approach has the advantage of being less costly and faster to deliver results than the experimental approach.In this context, the ERAFEN team of the Rouen PMG developed the digital approach to quasi-particles (QA), which has already proven its ability to simulate the kinetics of JG under stress with precision approaching molecular dynamics (MD) results, but at a time cost of several hundred times less. However, although effective, this method has been used so far only on JG models, which are still far from real materials. (English)
18 November 2021
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Identifiers
19P02823
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