Geometric conformity is an essential aspect of 3D Concrete Printing (3DCP) due to its importance in the accurate production of design outcomes. This work aims to discuss the potential for higher geometric accuracy by investigating the height-to-width ratio of overall and individual layer filaments in 3D printed results through a series of robotic 3DCP sample prototypes using different material mixtures. The results are examined using manual, semi-automated, and automated algorithmic procedures to analyze a series of cross-section shapes derived from 3D printed samples. This enables the extraction of measurable data that includes, among others, the height and width of overall cross-sections as well as each individual printed filament. The collection of data allows for comparison between different parameters influencing 3DCP, including material mixtures, robotic speed, and adjusted height/width of layer filaments. The results show that printing parameters such as material mixtures and robotic speed play an important role during 3DCP and can be applied to control the process in future design and 3DCP production steps.

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Measuring and Evaluating Layer Height to Width Ratio in 3DCP Towards Higher Geometric Conformity

  • Odysseas Kontovourkis,
  • Christos Georgiou,
  • Alexis Andreou,
  • Vasilis Andreou,
  • Savvas Dimitriou

摘要

Geometric conformity is an essential aspect of 3D Concrete Printing (3DCP) due to its importance in the accurate production of design outcomes. This work aims to discuss the potential for higher geometric accuracy by investigating the height-to-width ratio of overall and individual layer filaments in 3D printed results through a series of robotic 3DCP sample prototypes using different material mixtures. The results are examined using manual, semi-automated, and automated algorithmic procedures to analyze a series of cross-section shapes derived from 3D printed samples. This enables the extraction of measurable data that includes, among others, the height and width of overall cross-sections as well as each individual printed filament. The collection of data allows for comparison between different parameters influencing 3DCP, including material mixtures, robotic speed, and adjusted height/width of layer filaments. The results show that printing parameters such as material mixtures and robotic speed play an important role during 3DCP and can be applied to control the process in future design and 3DCP production steps.