AUTOINSPECT - Automated inspection for sintered parts by non-destructive techniques for improved quality in production
Funder: European CommissionDuration: October 2011 - September 2013
People
| Name | Telephone | Office | ||
|---|---|---|---|---|
|
Professor Tat-Hean Gan Director of Brunel Innovation Centre (Principal investigator)
T: +44 (0)1895 268920
E: tat-hean.gan@brunel.ac.uk |
+44 (0)1895 268920 | tat-hean.gan@brunel.ac.uk | Brunel Innovation Centre,Cambridge - |
Outputs
Szabo, I., Sun, J., Feng, G., Kanfoud, J., Gan, TH. and Selcuk, C. (2017) 'Automated defect recognition as a critical element of a three dimensional X-ray computed tomography imaging-based smart non-destructive testing technique in additive manufacturing of near net-shape parts'. Applied Sciences (Switzerland), 7 (11). pp. 1156 - 1156. ISSN: 2076-3417 Open Access Link
Feng, G., Sun, J., Chong, AYB., Kanfoud, J., Gan, TH., Kimball, M., et al. (2017) 'A case study of image data processing in automated ultrasonic testing based aerospace composites inspection'. WCCM 2017 - 1st World Congress on Condition Monitoring 2017.