TY - GEN
T1 - Fabrication Information Modeling
T2 - 38th International Symposium on Automation and Robotics in Construction, ISARC 2021
AU - Slepicka, Martin
AU - Vilgertshofer, Simon
AU - Borrmann, André
N1 - Publisher Copyright:
© 2021 Proceedings of the International Symposium on Automation and Robotics in Construction. All rights reserved.
PY - 2021
Y1 - 2021
N2 - Additive manufacturing (AM) is no longer a new technology and is already being used profitably in many sectors of the economy. AM is also becoming increasingly popular in the construction industry, and more and more research is focused on unlocking new building materials for AM. As a digital fabrication method, AM provides many new opportunities for the design of innovative and complex architecture and also has the potential to increase the productivity of the construction industry. However, the planning effort can increase accordingly and only experts in this field are able to apply this technology to construction projects. A methodology to improve planning efficiency has already been developed for the construction industry in the form of Building Information Modeling. In BIM, however, only conventional manufacturing processes have been taken into account so far, meaning that computer-aided manufacturing processes such as AM are still considered separately. Even more importantly, the granularity of product and process information is normally not sufficient for automated manufacturing. For this reason, this study proposes a framework, Fabrication Information Modeling, which can be used to generate BIM-supported fabrication information for the use of AM in the context of construction projects. Additionally to an expected reduction in planning effort, FIM would also provide the means of realizing an end-to-end digital chain from the first draft to the production of a construction project.
AB - Additive manufacturing (AM) is no longer a new technology and is already being used profitably in many sectors of the economy. AM is also becoming increasingly popular in the construction industry, and more and more research is focused on unlocking new building materials for AM. As a digital fabrication method, AM provides many new opportunities for the design of innovative and complex architecture and also has the potential to increase the productivity of the construction industry. However, the planning effort can increase accordingly and only experts in this field are able to apply this technology to construction projects. A methodology to improve planning efficiency has already been developed for the construction industry in the form of Building Information Modeling. In BIM, however, only conventional manufacturing processes have been taken into account so far, meaning that computer-aided manufacturing processes such as AM are still considered separately. Even more importantly, the granularity of product and process information is normally not sufficient for automated manufacturing. For this reason, this study proposes a framework, Fabrication Information Modeling, which can be used to generate BIM-supported fabrication information for the use of AM in the context of construction projects. Additionally to an expected reduction in planning effort, FIM would also provide the means of realizing an end-to-end digital chain from the first draft to the production of a construction project.
KW - Additive Manufacturing (AM)
KW - Automated Construction
KW - Building Information Modeling (BIM)
KW - Fabrication Information Modeling (FIM)
UR - http://www.scopus.com/inward/record.url?scp=85127574456&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85127574456
T3 - Proceedings of the International Symposium on Automation and Robotics in Construction
SP - 9
EP - 16
BT - Proceedings of the 38th International Symposium on Automation and Robotics in Construction, ISARC 2021
A2 - Feng, Chen
A2 - Linner, Thomas
A2 - Brilakis, Ioannis
PB - International Association for Automation and Robotics in Construction (IAARC)
Y2 - 2 November 2021 through 4 November 2021
ER -