Methodology for Automatic Control of Automotive Al-Si Cast Components |
| Journal |
Materials Science Forum (Volumes 539 - 543) |
| Volume |
THERMEC 2006 |
| Pages |
339-344 |
| DOI |
10.4028/www.scientific.net/MSF.539-543.339 |
| Online since |
March, 2007 |
| Authors |
Mariusz Krupinski,
Leszek A. Dobrzański,
Jerry Sokolowski,
Wojciech Kasprzak,
Glenn E. Byczynski
|
| Keywords |
Aluminum Alloy, Cast Defect, Neural Network (NN) |
| Abstract |
Computer based classification methodology is presented in the paper for defects being
developed in the Al alloys as the car engine elements are made from them produced with the
vacuum casting method. Identification of defects was carried out using data acquired from digital
images obtained using the X-ray defect detection methods. The developed methodology as well as
the related X-ray image analysis and quality control neural networks based software were carried
out to solve this problem. |
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