Grant: Applied Research and Development Grants - Level 2
Red River College of Applied Arts, Science and Technology
$75,000.00
Technology Expansion of Adaptive Machining for Gas Turbine Aero-Engine Applications (Re-submission)
EF 2020-21
Résumé
Maintenance, repair and overhaul of gas turbine engines has historically required labour intensive manual visual and dimensional inspection to assess component conditions, combined with capital equipment intensive repair processes. Compressor, fan and turbine blade geometry has become extremely complex as engine manufacturers have incorporated 3D modelling into the design process and 5-axis machining into original production. The inspection, maintenance and repair of these critical rotating parts involve high degrees of measurement precision, and experience in assessing material quality. Dimensional assessment of leading and trailing edge, and overall material condition is still primarily a manual process. Non-contact three dimensional inspection systems are now widely available. However, the integration vision systems with intelligent control systems and mechanical repair methods is a relatively emerging technology. Compounding the complexity of integrating multiple highly precise electronic and mechanical systems is the factor of certainty and safety required in proving concepts and processes for use in civilian aircraft.
StandardAero partnered with Red River College to obtain an automated system which was designed to inspect and mechanically dress blades of a particular configuration to restore for service. The main objective is to identify and validate a method for adapting to additional part configurations through in depth analysis of the integrated systems, development of necessary modifications and subsequent experimentation. The learnings from the project will allow StandardAero to expand their advanced manufacturing capabilities. Implementation of the results from this applied research will directly impact the production efficiency for blade inspection and repair. With the growing demand for the aerospace sector to adopt advanced manufacturing practices, an applied research project to implement and develop automated gas turbine blade inspection and repair will definitively contribute to Canadian companies' ability to remain competitive within the aerospace industry.
Programme
Applied Research and Development Grants - Level 2
Emplacement
Manitoba, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
554449-2020
Name nom
Potter, Simon
Department département
Head Office
Organization id
22155
Institution établissement
Red River College of Applied Arts, Science and Technology
Province en
Manitoba
Province fr
Manitoba
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2020
Competition year année de concours
2020
Award amount
75000
Program id
CARD2
Program name en
Applied Research and Development Grants - Level 2
Program name fr
Subventions de recherche et développement appliquée - niveau 2
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1561
Committee name en
Applied Research and Development Grants
Committee name fr
Subventions de recherche et développement appliquée
Area of application code
509
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Primary metal products (ferrous and non-ferrous)
Area of application fr
Produits des métaux primaires (ferreux et non ferreux)
Research subject code
2108
Research subject group en
Mechanical engineering
Research subject group fr
Génie mécanique
Research subject en
Aerospace, aeronautical and automotive engineering
Research subject fr
Génie aérospatial, aéronautique et automobile
Installment
inst:1 - 1
Partie
1
Nb partie
1
Application title
Technology Expansion of Adaptive Machining for Gas Turbine Aero-Engine Applications (Re-submission)
Keyword
NSERC
Application summary
Maintenance, repair and overhaul of gas turbine engines has historically required labour intensive manual visual and dimensional inspection to assess component conditions, combined with capital equipment intensive repair processes. Compressor, fan and turbine blade geometry has become extremely complex as engine manufacturers have incorporated 3D modelling into the design process and 5-axis machining into original production. The inspection, maintenance and repair of these critical rotating parts involve high degrees of measurement precision, and experience in assessing material quality. Dimensional assessment of leading and trailing edge, and overall material condition is still primarily a manual process. Non-contact three dimensional inspection systems are now widely available. However, the integration vision systems with intelligent control systems and mechanical repair methods is a relatively emerging technology. Compounding the complexity of integrating multiple highly precise electronic and mechanical systems is the factor of certainty and safety required in proving concepts and processes for use in civilian aircraft.
StandardAero partnered with Red River College to obtain an automated system which was designed to inspect and mechanically dress blades of a particular configuration to restore for service. The main objective is to identify and validate a method for adapting to additional part configurations through in depth analysis of the integrated systems, development of necessary modifications and subsequent experimentation. The learnings from the project will allow StandardAero to expand their advanced manufacturing capabilities. Implementation of the results from this applied research will directly impact the production efficiency for blade inspection and repair. With the growing demand for the aerospace sector to adopt advanced manufacturing practices, an applied research project to implement and develop automated gas turbine blade inspection and repair will definitively contribute to Canadian companies' ability to remain competitive within the aerospace industry.
