首页|Data from University of Hertfordshire Update Knowledge in Robotics (Design and d evelopment of a small-scale cement-based 3D printing robot extrusion nozzle)

Data from University of Hertfordshire Update Knowledge in Robotics (Design and d evelopment of a small-scale cement-based 3D printing robot extrusion nozzle)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on robotics have been published. According to news reporting from the University of Hertfordshir e by NewsRx journalists, research stated, "Additive manufacturing (AM), also kno wn as three-dimensional (3D) printing, offers great potential to create complex structures layer by layer from computer-aided design (CAD) models." The news correspondents obtained a quote from the research from University of He rtfordshire: "Despite advancements in printable concrete technology, controlling printing quality remains a challenge associated with both the geometric and mat erials design of the printer nozzle, especially for small-scale printing that ma y be required by small and medium-sized enterprises (SMEs). Therefore, this stud y explored the design and development of a robot nozzle system, optimised for a small-scale 3D printing of cement-based structures. Key design considerations in cluded weight, nozzle diameter/shape, material compatibility, flow control, mixi ng mechanism, temperature resistance, cost-effectiveness, adaptability, safety, and ease of maintenance. Iterative designs were developed, focusing on stress co ncentration mitigation and material flow optimisation. The challenge of incorpor ating mixing mechanisms during nozzle designs was discussed, leading to the adop tion of an on-demand accelerator spraying system. This method involved a micro-p eristaltic pump connected to an accelerator tank, spraying accelerator onto the surface of the deposited material, as the robot moved along its programmed path. "

University of HertfordshireEmerging Te chnologiesMachine LearningRobotRobotics

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Sep.10)