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Project: AI for 3D Concrete Printing


Designing 3D printable materials has been, so far, a trial-and-error process dependent on human knowledge and effort; hence time-consuming and wasteful. To predict certain properties of 3DCP, material scientists have used modelling and simulations for decades. While helpful in many ways, models mostly require unrealistic assumptions and approximations. An alternative approach in 3DCP would be data-driven and AI-enabled, where historical as well as real-time printing data can be utilized in powerful AI models to improve the 3DCP systems.

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Mykola Pechenizkiy
Secondary supervisor
Sandra Lucas and ├ľnder Babur
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