首页|Detection of Al,Mg,Ca,and Zn in copper slag by LIBS combined with calibration curve and PLSR methods
Detection of Al,Mg,Ca,and Zn in copper slag by LIBS combined with calibration curve and PLSR methods
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
万方数据
The precise measurement of Al,Mg,Ca,and Zn composition in copper slag is crucial for effective process control of copper pyrometallurgy.In this study,a remote laser-induced breakdown spectroscopy(LIBS)system was utilized for the spectral analysis of copper slag samples at a distance of 2.5 m.The composition of copper slag was then analyzed using both the calibration curve(CC)method and the partial least squares regression(PLSR)analysis method based on the characteristic spectral intensity ratio.The performance of the two analysis methods was gauged through the determination coefficient(R2),average relative error(ARE),root mean square error of calibration(RMSEC),and root mean square error of prediction(RMSEP).The results demonstrate that the PLSR method significantly improved both R2 for the calibration and test sets while reducing ARE,RMSEC,and RMSEP by 50％compared to the CC method.The results suggest that the combination of LIBS and PLSR is a viable approach for effectively detecting the elemental concentration in copper slag and holds potential for online detection of the elemental composition of high-temperature molten copper slag.
copper slagelementremoteLIBSPLSR
贾军伟、刘志峰、潘从元、薛骅骎
展开 >
School of Mechanical Engineering,Hefei University of Technology,Hefei 230009,People's Republic of China
Hefei GStar Intelligent Control Technical Co.Ltd.,Hefei 230088,People's Republic of China
Anhui Industrial Combustion Monitoring Technology and Equipment Engineering Laboratory,Hefei 230088,People's Republic of China
research activities of postdoctoral researchers in Anhui Provincespecial funds for developing Anhui Province's industrial"three highs"and hightech industries
NETL
NSTL
万方数据
