Prediction the effects of used material groups on alloy components with regression analysis

Copyright © 2013 Cagla Ediz and Ahmet Fevzi Savas. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. In the working plant, aluminum materials collected from the markets were classified into three groups as drink cans, pots-pans and crank chambers. These material groups were mixed at different ratios in recycling processes to produce aluminium alloy which meets the customer specifications. In this work, the influences of used material groups on each of produced aluminum components are analyzed by the regression method.