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Project: AI for 3D Concrete Printing
Description
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.
Detailed description
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- Supervisor
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Mykola Pechenizkiy
- Secondary supervisor
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SBSandra Lucas and Önder Babur
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