Quantitative Phase Analysis Using the Whole-Powder-Pattern Decomposition Method: Application to Ten-Component Mixtures and Natural Products
نویسندگان
چکیده
The procedure for the quantitative phase analysis using the whole-powder-pattern decomposition method has been applied to ten-component mixtures of synthesized ceramic materials and a five-component mixture of natural products. Average deviations of the calculated weight fractions of respective phases from those prepared in mixing were within 1 weight percent (wt.%), and they were smaller than those obtained by using Rietveld refinement in the present analysis. Minor phases (-1 wt.%) in ten-component samples were examined, and their weight fractions could be measured within 0.1 wt.% error (10% in relative error).
منابع مشابه
Application of the Ratio Derivative Method in Quantitative Analysis of Samples Dyed with Ternary Dye Mixtures
In this study, a derivative method is applied for the determination of dye concentration in fabrics dyed with tricomponent dye mixtures. The reflectance of spectra of the samples were recorded between 400 and 700 nm. Initially, the obtained (K/S) spectra were divided by the spectrum of a standard sample dyed with two of the components in the ternary mixture and the derivative spectra were calcu...
متن کاملA review on EEG based brain computer interface systems feature extraction methods
The brain – computer interface (BCI) provides a communicational channel between human and machine. Most of these systems are based on brain activities. Brain Computer-Interfacing is a methodology that provides a way for communication with the outside environment using the brain thoughts. The success of this methodology depends on the selection of methods to process the brain signals in each pha...
متن کاملA review on EEG based brain computer interface systems feature extraction methods
The brain – computer interface (BCI) provides a communicational channel between human and machine. Most of these systems are based on brain activities. Brain Computer-Interfacing is a methodology that provides a way for communication with the outside environment using the brain thoughts. The success of this methodology depends on the selection of methods to process the brain signals in each pha...
متن کاملEvaluating Dye Concentration in Bicomponent Solution by PCA-MPR and PCA-ANN Techniques
This paper studies the application of principal component analysis, multiple polynomial regression, and artificial neural network ANN techniques to the quantitative analysis of binary mixture of dye solution. The binary mixtures of three textile dyes including blue, red and yellow colors were analyzed by PCA-Multiple polynomial Regression and PCA-Artificial Neural network PCA-ANN methods. The o...
متن کاملA Fault Diagnosis Method for Automaton based on Morphological Component Analysis and Ensemble Empirical Mode Decomposition
In the fault diagnosis of automaton, the vibration signal presents non-stationary and non-periodic, which make it difficult to extract the fault features. To solve this problem, an automaton fault diagnosis method based on morphological component analysis (MCA) and ensemble empirical mode decomposition (EEMD) was proposed. Based on the advantages of the morphological component analysis method i...
متن کامل