Quantification of Caco3-Caso3·0.5h 2o-Caso4·2h2o Mixtures by Ftir Analysis and Its Ann Model
| dc.contributor.author | Böke, Hasan | |
| dc.contributor.author | Akkurt, Sedat | |
| dc.contributor.author | Özdemir, Serhan | |
| dc.contributor.author | Göktürk, E. Hale | |
| dc.contributor.author | Caner Saltık, Emine N. | |
| dc.coverage.doi | 10.1016/j.matlet.2003.07.008 | |
| dc.date.accessioned | 2016-07-12T08:58:54Z | |
| dc.date.available | 2016-07-12T08:58:54Z | |
| dc.date.issued | 2004 | |
| dc.description.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. | en_US |
| dc.identifier.citation | 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 | en_US |
| dc.identifier.doi | 10.1016/j.matlet.2003.07.008 | en_US |
| dc.identifier.doi | 10.1016/j.matlet.2003.07.008 | |
| dc.identifier.issn | 0167-577X | |
| dc.identifier.issn | 0167-577X | |
| dc.identifier.scopus | 2-s2.0-0346910248 | |
| dc.identifier.uri | http://doi.org/10.1016/j.matlet.2003.07.008 | |
| dc.identifier.uri | https://hdl.handle.net/11147/1885 | |
| dc.language.iso | en | en_US |
| dc.publisher | Elsevier Ltd. | en_US |
| dc.relation.ispartof | Materials Letters | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.subject | Calcium compounds | en_US |
| dc.subject | Absorbance peaks | en_US |
| dc.subject | Artificial neural networks | en_US |
| dc.subject | Characterization methods | en_US |
| dc.subject | Sulphur dioxide | en_US |
| dc.title | Quantification of Caco3-Caso3·0.5h 2o-Caso4·2h2o Mixtures by Ftir Analysis and Its Ann Model | en_US |
| dc.type | Article | en_US |
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| gdc.author.institutional | Böke, Hasan | |
| gdc.author.institutional | Akkurt, Sedat | |
| gdc.author.institutional | Özdemir, Serhan | |
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| gdc.description.department | İzmir Institute of Technology. Conservation and Restoration of Cultural Heritage | en_US |
| gdc.description.department | İzmir Institute of Technology. Mechanical Engineering | en_US |
| gdc.description.endpage | 726 | en_US |
| gdc.description.issue | 5 | en_US |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
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| gdc.description.startpage | 723 | en_US |
| gdc.description.volume | 58 | en_US |
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| gdc.oaire.keywords | Artificial neural networks | |
| gdc.oaire.keywords | Calcium compounds | |
| gdc.oaire.keywords | Characterization methods | |
| gdc.oaire.keywords | Absorbance peaks | |
| gdc.oaire.keywords | Sulphur dioxide | |
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