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DyThM-FCC focuses on advancing additive micro-manufacturing and micromechanical testing of metallic microparticles under extreme conditions. Using machine learning, the project aims to establish a deformation map for nickel, copper, and cobalt microcrystals, assessing their performance for applications in sensors and c…
The core aim of DyThM-FCC is to push the envelope of additive micro-manufacturing (AµM) and micromechanical testing under extreme conditions and identify a constitutive strengthening law by using machine learning (ML). A novel printing method, based on localized electrodeposition in a voxel-by-voxel manner, will be used to print metallic microparticles of Ni, Cu and Co.
Subsequently, these microparticles will be subjected to thermal treatments to control the internal microstructure, i.e. change…
MAX-PLANCK-INSTITUT FUR NACHHALTIGEMATERIALIEN GMBH
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