Join Us Sign In

Knowledge Base Repository

In addition to research papers, the Design Society is developing several valuable resources for those interested in the study of design. These include a repository of PhD theses, a library of case studies and transcripts of design activities, and an archive of our newsletters. Please note that these resources are accessible exclusively to Design Society members.

Automatic feature recognition from imperfect models using a novel workflow of data surrogation

Kukreja, Aman (1); Cox, Chris (1); Gopsill, James (1); Paetzold-Byhain, Kristin (2); Snider, Chris (1)

Type:
Papers
DS 145: Proceedings of the DESIGN2026 19th International Design Conference
Year:
2026
Editor:
Štorga, M.; Škec, S.; Martinec, T.; Marjanović, D.; Pavković, N.
Author:
Kukreja, Aman (1); Cox, Chris (1); Gopsill, James (1); Paetzold-Byhain, Kristin (2); Snider, Chris (1)
Series:
DESIGN
Institution:
1: University of Bristol, United Kingdom; 2: Dresden University of Technology, Germany
Page(s):
2403-2412
DOI number:
10.1017/pds.2026.10598
ISSN:
2732-527X (Online)
Abstract:
Imperfect CAD models with non-smooth features are common outputs of the latest digital tools. These are unsuitable for the feature recognition needed for end applications like computer-aided manufacturing. This paper proposes to recognise features from imperfect models by contributing a comprehensive dataset, a novel data surrogation method, and ML-based automated feature recognition model. Results show that the data surrogation method accurately replicates manual imperfections with voxel accuracy >0.9 and a Dice coefficient >0.6. Ultimately, feature recognition achieves 92.8% test accuracy.
Keywords:
artificial intelligence (AI), computer-aided design (CAD), computational design methods
DESIGN2026 - The 19th International Design Conference
Conferences

This site uses cookies and other tracking technologies to assist with navigation and your ability to provide feedback, analyse your use of our products and services, assist with our promotional and marketing efforts, and provide content from third parties. Privacy Policy.

Cookie Settings Accept Cookies