Grant: Collaborative Research and Development Grants
École de technologie supérieure
$143,620.00
Development of a comprehensive process model for accurate prediction of quench induced distortion in a large size aircraft landing gear_x000d_
EF 2020-21
Résumé
The manufacture of a landing gear requires special attention because it is the most mechanically solicited component of an aircraft with very tight geometric tolerances. SAFRAN Landing Systems, a world leader in landing systems, wants to increase its productivity in order to be more competitive. The process of manufacturing a landing gear made of high strength steel includes many machining steps to give the produce the desired geometry and a heat treatment to attain the required mechanical properties. However, the heat treatment process is accompanied by a change in geometry leading to possible part non-conformance thus resulting in an expensive concessions process sometimes ending with part rejection. To avoid this, a predictive model is needed to quantify this change. Improvement by trial and error is very expensive and non-viable. The use of numerical simulation is an interesting choice; however, the heat treatment process involves interactions of different physical domains such as the thermal, metallurgical and mechanical domains, making the problem very complex. Existing simulation models are unable to provide the required accuracy due to over-simplification of the physical models. As a result, the project will aim to deepen knowledge about the thermo-metallo-mechanical interactions involved in the heat treatment process to eventually have a more robust predictive model.
_x000d_La fabrication d'un train d'atterrissage nécessite des attentions particulières car celui-ci est le composant le plus sollicité mécaniquement d'un avion avec des tolérances géométriques très serrées. SAFRAN Landing Systems, un leader mondial dans les syst
Programme
Collaborative Research and Development Grants
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
536717-2018
Name nom
Jahazi, Mohammad
Department département
Génie mécanique
Organization id
53
Institution établissement
École de technologie supérieure
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2020
Competition year année de concours
2018
Award amount
143620
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
500
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Manufacturing processes and products
Area of application fr
Procédés et produits industriels
Research subject code
2003
Research subject group en
Materials science and technology
Research subject group fr
Science et technologie des matériaux
Research subject en
Metallurgy
Research subject fr
Métallurgie
Installment
inst:2 - 2
Partie
1
Nb partie
2
Application title
Development of a comprehensive process model for accurate prediction of quench induced distortion in a large size aircraft landing gear_x000d_
Keyword
NSERC
Application summary
The manufacture of a landing gear requires special attention because it is the most mechanically solicited component of an aircraft with very tight geometric tolerances. SAFRAN Landing Systems, a world leader in landing systems, wants to increase its productivity in order to be more competitive. The process of manufacturing a landing gear made of high strength steel includes many machining steps to give the produce the desired geometry and a heat treatment to attain the required mechanical properties. However, the heat treatment process is accompanied by a change in geometry leading to possible part non-conformance thus resulting in an expensive concessions process sometimes ending with part rejection. To avoid this, a predictive model is needed to quantify this change. Improvement by trial and error is very expensive and non-viable. The use of numerical simulation is an interesting choice; however, the heat treatment process involves interactions of different physical domains such as the thermal, metallurgical and mechanical domains, making the problem very complex. Existing simulation models are unable to provide the required accuracy due to over-simplification of the physical models. As a result, the project will aim to deepen knowledge about the thermo-metallo-mechanical interactions involved in the heat treatment process to eventually have a more robust predictive model.
_x000d_La fabrication d'un train d'atterrissage nécessite des attentions particulières car celui-ci est le composant le plus sollicité mécaniquement d'un avion avec des tolérances géométriques très serrées. SAFRAN Landing Systems, un leader mondial dans les syst