+44 (0)1509 263171
Please use this identifier to cite or link to this item:
|Title: ||Real-time surface defect detection and traceable measurement of defect volume in 3D|
|Authors: ||Tailor, Mitul|
Petzing, Jon N.
Jackson, Michael R.
Parkin, Robert M.
|Keywords: ||Surface defect|
|Issue Date: ||2013|
|Publisher: ||© International Measurement Confederation|
|Citation: ||TAILOR, M. ... et al, 2013. Real-time surface defect detection and traceable measurement of defect volume in 3D. Presented at the 11th International Symposium on Measurement and Quality Control, ISMQC 2013. 11th-13th September 2013, Cracow, Poland.|
|Abstract: ||In recent years, there has been an increased emphasis for
quality control in the manufacturing sector. Many
manufacturing processes have become fully automated
resulting in high production volumes. However, this is not
necessarily the case for inspection of aerospace surface
defects. Volume measurement of defects is one of the key
elements in quality assurance in order to determine the pass
or failure of certain manufactured parts within this industrial
sector. Existing human visual analysis of surface defects is
qualitative and subject to varying interpretation. Noncontact
3D measurement should provide a robust and
systematic quantitative approach for surface defect analysis.
Instrument native software processing of 3D data is often
subject to issues of repeatability and may be non-traceable
in nature, leading to significant uncertainty about data
quantisation and representation. This is compounded by a
lack of traceable surface defect standards and softgauges
with which to test the instruments and software respectively.
This research is concerned with the development of
novel traceable sub-millimetric surface defects produced
using a Rockwell hardness test instrument on flat, single
curvature (SC), and double curvature (DC) metal plates, and
the development of a novel robust, repeatable, mathematical
solution for automatic defect detection and characterization.
This is then extended to a surface defect on an aerofoil that
is measured in real-time and characterized using the novel
algorithm. The results show that the new surface defect
detection and quantification is more robust, efficient, and
repeatable than existing solutions.|
|Description: ||This is a conference paper.|
|Appears in Collections:||Conference Papers and Presentations (Mechanical, Electrical and Manufacturing Engineering)|
Files associated with this item:
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.