Related projects
Discover more projects across a range of sectors and discipline — from AI to cleantech to social innovation.
Nowadays in aerospace industry, the main concern is to reach an optimum, reliable, and reproducible manufacturing process with a high predictability of the components service life and the lowest production cost. Machining is one of the main manufacturing processes for industrial parts which can change the surface characteristics of materials. The main aspects of these alterations are metallurgical, topographical, mechanical, and thermal which could affect microstructure, roughness, and residual stresses at the surface and near the surface of machined components, respectively. Since the fatigue behaviour of materials is sensitive to the local changes at their surface, developing a predictive model for fatigue life of machined components influenced by these surface characteristics is necessary to quantify their correlation. In this project different aspects of machining-induced surface integrity and their effect on fatigue behaviour of a Nickel-based superalloy used by Pratt & Whitney Canada in turning process will be investigated. For some applications testing real parts up to targeted fatigue life, sometimes over millions of cycles, is too expensive and time-consuming to be practical. The present project will also develop a predictive model for the functional performance of machined components by monitoring short crack propagations in the vicinity of machining affected layer.
Philippe Bocher
Hamid Javadi
Pratt & Whitney Canada
Engineering - mechanical
Aerospace and defense
Elevate
Discover more projects across a range of sectors and discipline — from AI to cleantech to social innovation.
Find the perfect opportunity to put your academic skills and knowledge into practice!
Find ProjectsThe strong support from governments across Canada, international partners, universities, colleges, companies, and community organizations has enabled Mitacs to focus on the core idea that talent and partnerships power innovation — and innovation creates a better future.