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ICME based framework for additive manufacturing of Haynes 282 alloy

ICME based framework for additive manufacturing of Haynes 282 alloy

Date29th Jan 2021

Time03:00 PM

Venue Online meeting

PAST EVENT

Details

Haynes 282 is a γ′ precipitation strengthened nickel-base superalloy designed to meet the demand for higher service temperatures of turbine engines. The alloy has a unique combination of excellent creep properties and good fabricability. Recently, additive manufactured nickel based superalloys are being considered for aerospace and power generation applications. Additive manufacturing (AM) of Haynes 282 is relevant because of its applicability as high temperature structural material. AM potentially allows us to optimize the local properties via controlled microstructure by adjusting the process parameters. Integrated Computational Materials Engineering (ICME) approach can accelerate the process development because of its inherent process-structure-property mapping, thus saving time and resources associated with trial and error experiments. A multi-scale and multi-physics ICME based framework for AM of Haynes 282 alloy is proposed. The macroscale simulation of the process was performed using analytical models. The thermal field data was used for further microstructural simulations. The dendritic growth was simulated with phase-field modelling implemented in Micress® software. A mesoscale simulation of microstructure evolution during AM was performed using cellular automata and kinetic Monte Carlo implemented in SPPARKS software. The solutionizing treatment was simulated with diffusion equation implemented in Dictra® software. The precipitate evolution during aging treatment was simulated with Johnson–Mehl–Avrami–Kolmogorov (JMAK) equation implemented in JMatPro® software and Langer-Schwartz theory implemented in TC-Prisma® software. The residual stress evolution during AM was simulated with inherent-strain method implemented in Simufact-Additive® software. The above mentioned tools along with experiments are integrated aiming to establish an ICME framework with a predictive capability for optimizing the AM process parameters and post-build heat treatment.

Speakers

Dr. V.S. Hariharan (MM18D401)

Department of Metallurgical and Materials Engineering