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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 |
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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