The use of electromagnetic fields for the detection of inclusions in aluminium

Poynton, Steve, Brandt, Milan and Grandfield, John (2010). The use of electromagnetic fields for the detection of inclusions in aluminium. In: J. A. Taylor, J. F. Grandfield and A. Prasad, Aluminium cast house technology XI: Selected, peer reviewed papers from the International conference, organised by the CAST CRC on behalf of the aluminium industry. 11th International Conference on Aluminium Cast House Technology, Gold Coast, Qld, Australia, (155-162). 13-16 September, 2009. doi:10.4028/www.scientific.net/MSF.630.155

Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials)
Name Description MIMEType Size Downloads

Author Poynton, Steve
Brandt, Milan
Grandfield, John
Title of paper The use of electromagnetic fields for the detection of inclusions in aluminium
Conference name 11th International Conference on Aluminium Cast House Technology
Conference location Gold Coast, Qld, Australia
Conference dates 13-16 September, 2009
Proceedings title Aluminium cast house technology XI: Selected, peer reviewed papers from the International conference, organised by the CAST CRC on behalf of the aluminium industry   Check publisher's open access policy
Journal name Materials Science Forum   Check publisher's open access policy
Place of Publication Stafa-Zurich ; United Kingdom
Publisher Trans Tech Publications
Publication Year 2010
Sub-type Fully published paper
DOI 10.4028/www.scientific.net/MSF.630.155
ISBN 9780878493166
ISSN 0255-5476
Editor J. A. Taylor
J. F. Grandfield
A. Prasad
Volume 630
Start page 155
End page 162
Total pages 8
Collection year 2011
Language eng
Abstract/Summary Management of inclusions is an important part of quality control within the aluminium cast house. Inclusions have a detrimental effect on many aluminium cast products. The ability to reliably detect inclusions in a timely fashion is an essential part of this process. There are a number of tools available for inclusion measurement based on different principles. Techniques for inclusion detection such as metallurgical analysis, K-Mold, Podfa, Lais, Prefil all have a delay before detailed results are available. Ultrasound provides a possible technique for an online sensor, however has not as yet managed sufficient sensitivity. LiMCA, based on the Electrical Sensing Zone, has provided the most sensitive online detection to date, but other electromagnetic techniques such as a multiple voltage array sensor offer promise of a sensor which can be built for lower cost and can sample a larger portion of the melt.
Subjects 0912 Materials Engineering
Keyword Inclusion
Detection
Aluminium
K-Mold
Podfa
Lais
Prefil
LiMCA
Ultrasound
Electrical-resistance Tomography
Molten Aluminium
Sensing Zone
Buffer Rods
Sensor
Cleanliness
Particles
Defects
Metals
Size
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 2 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 2 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Sun, 12 Sep 2010, 00:08:25 EST