Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Robotic Additive Manufacturing Using a Visual Programming BIM Environment
In recent years, the application of AM in construction has been increasingly studied. According to scientific literature, the use of robotic AM can help improve efficiency in construction by reducing the cost of completion, minimizing waste, decreasing lead times, and increasing profitability. Building Information Modeling (BIM), a digital technology widely adopted by the industry today, is known to boost construction productivity and quality. However, studies on the use of BIM in the different stages of AM are lacking in the scientific literature, even though there are major challenges to overcome in this area, including the lack of data interoperability between BIM platforms and additive manufacturing systems. In particular, BIM is almost solely used for modeling in the AM process, and other software is needed to process the 3D models and link them to AM robots. This research aims to close the gap between BIM data and AM. To achieve this, attention was paid to data interoperability between BIM platforms and automated building systems (a robotic arm) to preserve BIM model data throughout the manufacturing process. The proposed approach helps prevent the data loss of a 3D BIM model in an additive manufacturing process by using the parametric modeling tool Dynamo. A review of scientific publications, industry best practices, and academic laboratories research was conducted to identify current technologies and practices in the use of BIM in AM. Workflows were developed and tested on technical case studies using an operational framework for integrating AM processes with BIM. The studied cases represent a robotically 3D printout of native BIM models as a practical illustration. Results show that the use of robotic AM in the field of construction can contribute to improving efficiency, reducing the cost of completion, limiting waste, decreasing delays, increasing profitability, and avoiding the need to redo detailed work. It can also contribute to improve construction site safety and provide architects with more freedom of design and functional integration.
Robotic Additive Manufacturing Using a Visual Programming BIM Environment
In recent years, the application of AM in construction has been increasingly studied. According to scientific literature, the use of robotic AM can help improve efficiency in construction by reducing the cost of completion, minimizing waste, decreasing lead times, and increasing profitability. Building Information Modeling (BIM), a digital technology widely adopted by the industry today, is known to boost construction productivity and quality. However, studies on the use of BIM in the different stages of AM are lacking in the scientific literature, even though there are major challenges to overcome in this area, including the lack of data interoperability between BIM platforms and additive manufacturing systems. In particular, BIM is almost solely used for modeling in the AM process, and other software is needed to process the 3D models and link them to AM robots. This research aims to close the gap between BIM data and AM. To achieve this, attention was paid to data interoperability between BIM platforms and automated building systems (a robotic arm) to preserve BIM model data throughout the manufacturing process. The proposed approach helps prevent the data loss of a 3D BIM model in an additive manufacturing process by using the parametric modeling tool Dynamo. A review of scientific publications, industry best practices, and academic laboratories research was conducted to identify current technologies and practices in the use of BIM in AM. Workflows were developed and tested on technical case studies using an operational framework for integrating AM processes with BIM. The studied cases represent a robotically 3D printout of native BIM models as a practical illustration. Results show that the use of robotic AM in the field of construction can contribute to improving efficiency, reducing the cost of completion, limiting waste, decreasing delays, increasing profitability, and avoiding the need to redo detailed work. It can also contribute to improve construction site safety and provide architects with more freedom of design and functional integration.
Robotic Additive Manufacturing Using a Visual Programming BIM Environment
Lecture Notes in Civil Engineering
Gupta, Rishi (Herausgeber:in) / Sun, Min (Herausgeber:in) / Brzev, Svetlana (Herausgeber:in) / Alam, M. Shahria (Herausgeber:in) / Ng, Kelvin Tsun Wai (Herausgeber:in) / Li, Jianbing (Herausgeber:in) / El Damatty, Ashraf (Herausgeber:in) / Lim, Clark (Herausgeber:in) / Allah, Tayeb Boualam (Autor:in) / Anane, Walid (Autor:in)
Canadian Society of Civil Engineering Annual Conference ; 2022 ; Whistler, BC, BC, Canada
Proceedings of the Canadian Society of Civil Engineering Annual Conference 2022 ; Kapitel: 37 ; 605-622
17.08.2023
18 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Robotic Additive Manufacturing of Glass Structures
| TIBKAT | 2022
| Taylor & Francis Verlag | 2021