Abstract
A new alloy designed for application, which require high strength materials even in elevated temperatures, with multiscale material modelling and deep learning is presented. Calphad type of analysis are combined with DFT simulations and tied together with machine learning tools are utilized in order to find the most promising alloy composition. Designed alloy will be synthesized and test specimens are produced with laser powder bed fusion. Experimental material and mechanical characterization methods are combined with simulation tools to create a micromechanical model that is used for mechanical property and performance simulations. A workflow is created to combine the different length scales in order to assess the performance of the final component already in alloy design phase in such a way that the alloying components can be fine-tuned to fulfil the design requirements of the respective products.
Original language | English |
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Title of host publication | World PM2022 Congress Proceedings |
Publisher | European Powder Metallurgy Association (EPMA) |
ISBN (Electronic) | 978-1-899072-55-2 |
Publication status | Published - Oct 2022 |
MoE publication type | A4 Article in a conference publication |
Event | World PM2022 Congress & Exhibition - Lyon, France Duration: 9 Oct 2022 → 13 Oct 2022 |
Conference
Conference | World PM2022 Congress & Exhibition |
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Country/Territory | France |
City | Lyon |
Period | 9/10/22 → 13/10/22 |