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The proposed project aims to determine the mechanical behavior of new commercial iron-based alloys, M789 and Corrax stainless steels, designed for additive manufacturing. The additively manufactured steel samples, known to possess an excellent combination of tensile strength and corrosion resistance, will be supplied by voestalpine Additive Manufacturing Center. After extensive high-temperature experiments (using Gleeble and SHPB machines) to acquire data, a custom-built data analysis application (Simu-Mat 1.0) will be employed to determine the recommended empirical, semi-empirical, and machine learning constitutive models. Once the suitable models have been established, these will be incorporated in finite element analysis using ANSYS/ABAQUS to accurately simulate the alloys’ mechanical response at various temperatures and strain rates. Therefore, based on the combined experimental and simulation work, it is expected that material issues associated with in-service AM components can be avoided, additional industry applications can be identified, and the component certification process will be more achievable.
Clodualdo Aranas Jr.
Voestalpine Additive Manufacturing Centre Ltd.
Engineering
Manufacturing; Professional, scientific and technical services
University of New Brunswick
Accelerate
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