Methodology for Automatic Control of Automotive Al-Si Cast Components

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.

• Periodical: Materials Science Forum (Volumes 539-543)
• Pages: 339-344
• DOI: https://doi.org/10.4028/www.scientific.net/MSF.539-543.339
• Online since: March 2007
• Authors: Mariusz Krupiński, Leszek Adam Dobrzański, Jerry Sokolowski, Wojciech Kasprzak, Glenn E. Byczynski
• Keywords: Aluminium Alloy, Cast Defect, Neural Network (NN)

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