Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/1885
Title: Quantification of CaCO3-CaSO3·0.5H 2O-CaSO4·2H2O mixtures by FTIR analysis and its ANN model
Authors: Böke, Hasan
Akkurt, Sedat
Özdemir, Serhan
Göktürk, E. Hale
Caner Saltık, Emine N.
Keywords: Calcium compounds
Absorbance peaks
Artificial neural networks
Characterization methods
Sulphur dioxide
Issue Date: Feb-2004
Publisher: Elsevier Ltd.
Source: Böke, H., Akkurt, S., Özdemir, S., Göktürk, E. H., and Caner Saltık, E. N. (2004). Quantification of CaCO3-CaSO3·0.5H 2O-CaSO4·2H2O mixtures by FTIR analysis and its ANN model. Materials Letters, 58(5), 723-726. doi:10.1016/j.matlet.2003.07.008
Abstract: A new quantitative analysis method for mixtures of calcium carbonate (CaCO3), calcium sulphite hemihydrate (CaSO 3·1/2H2O) and gypsum (CaSO 4·2H2O) by FTIR spectroscopy is developed. The method involves the FTIR analysis of powder mixtures of several compositions on KBr disc specimens. Intensities of the resulting absorbance peaks for CaCO 3, CaSO3·1/2H2O and CaSO 4·2H2O at 1453, 980, 1146 cm-1 were used as input data for an artificial neural network (ANN) model, the output being the weight percent compositions of the mixtures. The training and testing data were randomly separated from the complete original data set. Testing of the model was done with successfully low-average error levels. The utility of the model is in the potential ability to use FTIR spectrum to predict the proportions of the three substances in unknown mixtures.
URI: http://doi.org/10.1016/j.matlet.2003.07.008
http://hdl.handle.net/11147/1885
ISSN: 0167-577X
0167-577X
Appears in Collections:Conservation and Restoration of Cultural Heritage / Kültür Varlıklarını Koruma ve Onarım
Mechanical Engineering / Makina Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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