Editors: | Kongoli F |
Publisher: | Flogen Star OUTREACH |
Publication Year: | 2014 |
Pages: | 528 pages |
ISBN: | 978-1-987820-09-6 |
ISSN: | 2291-1227 (Metals and Materials Processing in a Clean Environment Series) |
A new method of analyzing the alloy content in steel scrap deliveries called Random Sampling Analysis (RSA) is presented. The purpose of the RSA is to obtain better analyses of the alloy content in steel scrap deliveries at steel mills. Thereby, optimize the process by increasing the yield in the reactors and also reduce expensive ferroalloy additions.
The study was performed by Optical Emission Spectroscopy analysis in two different scrap types of auto bundle and collected steel scrap in Sweden. Based on this, 3 melts were created by mixing auto bundle and collected steel scrap in the Electric arc furnace (EAF). The results from the RSA were compared to data taken from steel, slag, dust and gas analysis after scrap melting for evaluation. The results showed that RSA is close or accurate in analysis within a margin of error of 10% for the following elements; Mn, P, Cr, Ni, Ti, Nb, Co, N, Sn and Fe. The results also showed that RSA underestimates the content of different coatings and the amount of pickable pure metals. Furthermore, 100 random weights between 0,1:0,1:10 kg were simulated and applied on the RSA analysis to evaluate the margin of error due to different weight distributions in the samples. The results showed that despite of a weight distribution in the sampling, the RSA was within the range of average 6% for all elements analyzed.
The RSA method was also implemented on steel scrap deliveries in China; however, with X-ray fluorescence as an analyzing instrument.