Abstract
Laser-Induced Breakdown Spectroscopy (LIBS) technique is used to determine the emission intensity of inorganic elements, such as Si, Fe, Mg, Al, Ca, Na, and K in coal samples. The average emission intensity of the inorganic elements increases with the ash content of the coal sample with R2 = 0.82. Using the LIBS data, partial least square regression (PLSR)-based multivariate analysis was performed to determine the coal ash content. The PLS approach combined with the LIBS technique resulted in the coefficient of correlation R2 = 0.93, root-mean-square error RMSE = 3.5%, standard deviation SD = 11.7% and resolution = 3.7% corresponding to the reference ash data.
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Acknowledgements
We are thankful to Bharat Heavy Electrical Ltd. (BHEL), Trichy, India, for providing coal samples for the analysis. This work is supported under the UAY 21-105/2015-TS.II/TC.
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Rajavelu, H., Vasa, N.J., Seshadri, S. (2021). Determination of Ash Content in Coal Using Laser-Induced Breakdown Spectroscopy with Multivariate Analysis. In: Singh, K., Gupta, A.K., Khare, S., Dixit, N., Pant, K. (eds) ICOL-2019. Springer Proceedings in Physics, vol 258. Springer, Singapore. https://doi.org/10.1007/978-981-15-9259-1_91
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DOI: https://doi.org/10.1007/978-981-15-9259-1_91
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