Methodology for Automatic Control of Automotive Al-Si Cast Components |
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| Journal | Materials Science Forum (Volumes 539 - 543) |
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| Volume | THERMEC 2006 |
| Edited by | T. Chandra, K. Tsuzaki, M. Militzer , C. Ravindran |
| Pages | 339-344 |
| DOI | 10.4028/www.scientific.net/MSF.539-543.339 |
| Citation | Mariusz Krupinski et al., 2007, Materials Science Forum, 539-543, 339 |
| Online since | March, 2007 |
| Authors | Mariusz Krupinski, Leszek Adam Dobrzański, Jerry Sokolowski, Wojciech Kasprzak, Glenn E. Byczynski |
| Keywords | Aluminium 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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