Development of chemometrics method based on infrared spectroscopy for the determination of cement composition and process optimization için kapak resmi
Development of chemometrics method based on infrared spectroscopy for the determination of cement composition and process optimization
Başlık:
Development of chemometrics method based on infrared spectroscopy for the determination of cement composition and process optimization
Yazar:
Tepeli, Dilek, author.
Yazar Ek Girişi:
Fiziksel Tanımlama:
xiii, 90 leaves: charts;+ 1 computer laser optical disc.
Özet:
Calcium, silicon, aluminum, iron oxide-containing raw materials are used in controlled portions to manufacture cement. (How cement Is Made, n.d.) This mixture is first converted to clinker, obtained by heating the mixture to 1500oC; some additives are added and ground to obtain cement. Depending on the purpose, various types are produced, and therefore, the determination of cement composition is an essential task for the quality consideration and the sustainability of the production processes. The quantitative analysis of cement is performed with X-ray fluorescence spectroscopy. However, XRF generally requires tedious and lengthy analysis times. In this study, quantitative determination of the raw materials, intermediate products, and types of cement by using Fourier transform infrared spectroscopy coupled with chemometrics multivariate calibration method is aimed, which could be an alternative for the current XRF technique. Samples were collected from a local cement factory that has been in the sector for several years. Reference analyses of the samples were performed at the quality control laboratory of the same factory. The same samples were analyzed by the FTIRATR spectrometer. The resulting FTIR spectra combined with XRF reference composition data were used to construct calibration models using the partial least squares method (PLS). Based on the obtained results, the proposed method could generate quite successful results for the quantitative determination of all types of products used to produce cement. The regression coefficients (R2) of the PLS models vary from 0.95 to 0.99. The standard errors of cross-validations were found as from 0.21 to 1.42 (w/w%).
Yazar Ek Girişi:
Tek Biçim Eser Adı:
Thesis (Master)--İzmir Institute of Technology: Chemistry.

İzmir Institute of Technology: Chemistry--Thesis (Master).
Elektronik Erişim:
Access to Electronic Versiyon.
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