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Additive Manufacturing is a rapidly growing technology in the gas turbine industry. Its numerous advantages allow for the design of complex shapes which have not been possible in the past, using conventional manufacturing method. The parts could be manufactured on demand, with reduce cost and lead time. Selective Laser Melting is the common method to additive manufacture metal super alloy parts for combustors and turbines. The anisotropic microstructure from the printing process pose a challenge to numerical simulation and conventional predictive models. To accurately predict the mechanical integrity of the part, an improved constitutive material model that could accurately predict the part non-linear deformation after yielding is crucial. It’s especially important to couple this non-linear deformation model with the thermo-mechanical loading where the temperature could be in phase or out of phase with the loading
This project aims to create an efficient and accurate non-linear deformation for predicting the mechanical deformation of the SLM parts, theirs associated stress and strain, in preparation for future mechanical integrity assessment model. Using mathematical model and empirical factors from material testing, an efficient predictive tool will be developed to extend the current capability within Abaqus finite element software.
Mathias Legrand
Siemens Energy Canada
Engineering
Information and cultural industries; Professional, scientific and technical services
McGill University
Accelerate
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