Brown, Roy H. and Dobson, Jeff and Pierce, S. Gareth and Dutton, Ben and Collison, Ian (2016) Quantifying performance of ultrasonic immersion inspection using phased arrays for curvilinear disc forgings. In: 43rd Review in Quantitative Nondestructive Evaluation, 2016-07-17 - 2016-07-22, Georgia Tech Hotel and Conference Center.
Brown_etal_RQNE2016_quantifying_performance_ultrasonic_immersion_inspection_using_phased_arrays.pdf - Accepted Author Manuscript
Download (649kB) | Preview
Use of full-matrix capture (FMC), combined with the total focusing method (TFM), has been shown to provide improvements to flaw sensitivity within components of irregular geometry. Ultrasonic immersion inspection of aerospace discs requires strict specifications to ensure full coverage – one of which is that all surfaces should be machined flat. The ability to detect defects through curved surfaces, with an equivalent sensitivity to that obtained through flat surfaces could bring many advantages. In this work, the relationship between surface curvature and sensitivity to standard defects was quantified for various front wall radii. Phased array FMC immersion inspection of curved components was simulated using finite element modelling, then visualized using surface-compensated focusing techniques. This includes the use of BRAIN software developed at the University of Bristol for production of TFM images. Modelling results were compared to experimental data from a series of test blocks with a range of curvatures, containing standard defects. The sensitivity to defects is evaluated by comparing the performance to conventional methods. Results are used to highlight the benefits and limitations of these methods relating to the application area of aerospace engine disc forgings.
|Item type:||Conference or Workshop Item (Paper)|
|Keywords:||ultrasonic immersion inspection, phased arrays, curvilinear disc forgings, inspection performance, Electrical engineering. Electronics Nuclear engineering, Manufactures, Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality|
|Subjects:||Technology > Electrical engineering. Electronics Nuclear engineering
Technology > Manufactures
|Department:||Faculty of Engineering > Electronic and Electrical Engineering
Technology and Innovation Centre > Sensors and Asset Management
|Depositing user:||Pure Administrator|
|Date Deposited:||16 Nov 2016 12:31|
|Last modified:||17 Feb 2017 14:27|