Ontology-based manufacturability analysis automation for industrialized construction

Cao, Jianpeng and Vakaj, Edlira and Hall, Daniel and Soman, Ranjith K. (2022) Ontology-based manufacturability analysis automation for industrialized construction. Automation in Construction, 139. ISSN 0926-5805

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Abstract

The current digital fabrication workflow requires many iterations between design and manufacturing. Automated manufacturability analysis can reduce the number of iterations at the design stage. However, existing approaches that leverage design for manufacturing and assembly (DfMA) do not consider detailed product features and production capabilities. To address this limitation, this paper utilizes an ontology-based approach to connect design and manufacturing knowledge. The developed manufacturability analysis system (MAS) involves semantic reasoning to analyze manufacturability by combining feature-based modelling, production capability modelling and manufacturing rules. The system was tested on a timber panelized project to demonstrate complex manufacturability analysis capability. The testing proves that the system could provide real-time feedback to the designers, leading to fewer design iterations. Thus, the paper is a first step towards automated fabrication-aware design and the results from the study lay the foundation for future research on connecting knowledge for interdisciplinary rule checking

Item Type: Article
Identification Number: https://doi.org/10.1016/j.autcon.2022.104277
Dates:
DateEvent
17 April 2022Accepted
29 April 2022Published Online
Uncontrolled Keywords: Manufacturability, Ontology, Production capability, Industrialized construction
Subjects: CAH11 - computing > CAH11-01 - computing > CAH11-01-05 - artificial intelligence
CAH13 - architecture, building and planning > CAH13-01 - architecture, building and planning > CAH13-01-02 - building
Divisions: Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology
Depositing User: Edlira Vakaj
Date Deposited: 04 May 2022 09:04
Last Modified: 04 May 2022 09:07
URI: http://www.open-access.bcu.ac.uk/id/eprint/13202

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