A Study on the Stability of 3D Printing Construction Buildability Based on Internet of Things

Abstract

As a study on improving the stability of 3D printing construction Buildability, this paper proposed the selection of mixed materials and the adjustment of time interval optimization and real-time intelligentization using the Internet of Things to improve the required characteristics of 3D printed construction materials through real-time monitoring of things. In the material compatibility experiment, the mixture for improving the 3D printing additive was selected based on three criteria: silica fume, fly ash, and metakaolin, and the suitability of 3D printing was verified through Extrudability and Flowability experiments, and the optimal mixing ratio through the selected compound was verified by cross-sectional experiments. As a result, the optimal mix ratio improved the required characteristics of the printed construction materials, but was measured below the section criteria. Therefore, Time interval is proposed that is suitable for maintaining the shape of the optimal mix ratio. Due to the characteristics of concrete materials, the state of materials changes in real-time from the start of hydration reaction to curing, making it difficult to adjust the time interval to suit the situation. To improve this, the state of the material was identified in real time, suggested appropriate Time interval, and to ensure the stability of 3D printing construction in unexpected situations, such as preventing failures of additive printing and mechanical device errors, through the Internet of Things Aduino Uno and YL-69 sensors, to measure the setting time and stress of the material and provide visual stability to users through Web and Android applications in real time. |본 논문은 3D 프린팅 건설 Buildability 안정성 개선에 대한 연구로서, 사물인터넷 기반 실시간 모니터링을 통해 3D 프린팅 건설 재료의 요구 특성인 Workability, Extrudability, Buildability, Open time을 개선하기 위하여, 혼화재 선정 및 Time interval 최적화 조절 방안과 사물인터넷을 이용한 실시간 지능화 모니터링 방안을 제안하였다. 재료 적합성 실험에서 3D 프린팅 적층성 개선을 위한 혼화재는 Silica fume, Fly ash, Metakaolin 세가지 기준으로 혼화재 선정 후 Extrudability, Flowability 실험을 통해 3D 프린팅 적합여부를 확인하였으며, 선정된 혼화재를 통한 최적 배합비를 단면 변화 실험을 통해 Buildability를 확인하였다. 그 결과, 최적 배합비는 프린팅 건설 재료의 요구 특성을 개선하였으나, 단면 기준치 보다 낮게 측정되었다. 따라서, 최적 배합비의 형상 유지에 적합한 Time interval를 제안하였다. 3D 프린팅 건설은 콘크리트 재료 특성상 수화반응 시작부터 경화 전까지 실시간으로 재료 상태가 변하므로 상황에 맞는 Time interval을 조절하기에 어려움이 있다. 이를 개선하기 위해 실시간으로 재료의 상태를 파악하여 적합한 Time interval을 제안하고 적층 프린팅 실패 및 기계 장치 오류 방지 등 예기치 못한 상황에서의 3D 프린팅 건설 안정성을 확보하기 위해 사물인터넷 융복합 3D 프린팅 건설 실시간 지능화 모니터링 방안으로 사물인터넷 Aduino Uno와 YL-69 센서를 통해 재료의 응결시간과 응력을 측정하여 재료의 정보를 실시간으로 Web과 안드로이드 어플리케이션을 통해 사용자에게 제공함으로써 3D 프린팅의 안정성을 시각적으로 제공하고자 하였다.; As a study on improving the stability of 3D printing construction Buildability, this paper proposed the selection of mixed materials and the adjustment of time interval optimization and real-time intelligentization using the Internet of Things to improve the required characteristics of 3D printed construction materials through real-time monitoring of things. In the material compatibility experiment, the mixture for improving the 3D printing additive was selected based on three criteria: silica fume, fly ash, and metakaolin, and the suitability of 3D printing was verified through Extrudability and Flowability experiments, and the optimal mixing ratio through the selected compound was verified by cross-sectional experiments. As a result, the optimal mix ratio improved the required characteristics of the printed construction materials, but was measured below the section criteria. Therefore, Time interval is proposed that is suitable for maintaining the shape of the optimal mix ratio. Due to the characteristics of concrete materials, the state of materials changes in real-time from the start of hydration reaction to curing, making it difficult to adjust the time interval to suit the situation. To improve this, the state of the material was identified in real time, suggested appropriate Time interval, and to ensure the stability of 3D printing construction in unexpected situations, such as preventing failures of additive printing and mechanical device errors, through the Internet of Things Aduino Uno and YL-69 sensors, to measure the setting time and stress of the material and provide visual stability to users through Web and Android applications in real time.