Developing a data-driven filament shape prediction model for 3D concrete printing
Ali Alhussain,
José P. Duarte,
Nathan C. Brown
Abstract:With the growing global need for housing and infrastructure, 3D concrete printing (3DCP) has emerged as an innovative construction method offering several potential benefits including design flexibility, speed, and sustainability. However, enhancing the reliability of 3DCP involves managing a variety of parameters that influence various aspects of the 3D printed structure. Process parameters like nozzle velocity, nozzle diameter, nozzle height, and material flow velocity have a major impact on the structural s… Show more
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