Method of regularized multipeak reference intensity ratio for quantitative X-ray phase analysis of polycrystalline materials

Yakimov, Igor S.; Dubinin, P. S.; Piksina, Oksana

doi:10.1134/s0020168511150180

Cited by 8 publications

(6 citation statements)

References 5 publications

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“…Количественное определение содержаний минералов посредством метода XRD выполняется на базе дифрактометра D2 PHASER (Bruker) при излучении CoKa, монохроматор, шаг 0,01 по 2 θ, с использованием базовых программ обработки рентгенограмм EVA, TOPAS и ИПС, рентгенофазовых стандартов минералов PDF2 (15819 стандартов) для идентификации фаз, и бесстандартного КРФА по мультирефлексному методу «корундовых чисел» [1,2].…”

Section: материалы и методы исследованийunclassified

Variability of Ore Mineralogy at the Olimpiada Deposit

Starodubtseva,

Savushkina,

Snezhko

et al. 2023

XVI INTERNATIONAL CONFERENCE "METALLURGY OF NON-FERROUS, RARE AND NOBLE METALS" Named After Corresponding Member of the RAS Gen

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One of the main tasks of the current production is to improve the economic performance of the operations when processing the ores mined at deep levels. Primary ores of the Olimpiada deposit are characterized by the complexity of the material composition and the variability of the main criteria of technological properties. A high variability in mineral composition of primary ores affects the quality of raw materials and their technological properties. This requires operational control of mineral contents and their ratios. The mineral composition of ores of the Olimpiada deposit is studied by X-ray diffraction (XRD).

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Section: материалы и методы исследованийunclassified

Variability of Ore Mineralogy at the Olimpiada Deposit

Starodubtseva,

Savushkina,

Snezhko

et al. 2023

XVI INTERNATIONAL CONFERENCE "METALLURGY OF NON-FERROUS, RARE AND NOBLE METALS" Named After Corresponding Member of the RAS Gen

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“…Results are shown in Fig. 4 and on the reference intensity ratio method [11] made it possible to evaluate contribution of the most likely BST-based phases into the total diffraction pattern. Results of the calculations are given in Table 1.…”

Section: X-ray Phase Analysis Of Graded Bst Thin Filmsmentioning

confidence: 99%

Fabrication and Crystal Structure of Sol-Gel Deposited BST Thin Films with Compositional Gradient

Czekaj

Lisińska-Czekaj

Plewa

2017

Archives of Metallurgy and Materials

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In the present research technology of compositionally graded barium strontium titanate Ba 1-x Sr x TiO 3 thin films deposited on stainless steel substrates by sol-gel spin coating followed with thermal annealing at T = 650°C is reported. Results of thermal behavior of the sol-gel derived powders with compositions used for fabrication of graded structure (i.e. with Sr mole fraction x = 0.5, 0.4 and 0.3) are described. X-ray diffraction studies of the phase composition and crystal structure of such complex thin film configuration are given. It was found that gel powders exhibited a large total weight loss of about Δm ≈ 44-47%. Three stages of weight loss took place at temperature ranges: below T ≈ 300°C, at ΔT ≈ 300-500°C and between T = 600°C and T = 800°C. Phase analysis has shown that the dominating phase is Ba 0.67 Sr 0.33 TiO 3 compound while the second phase is Ba 0.7 Sr 0.3 TiO 3 or Ba 0.5 Sr 0.5 TiO 3 for "up-graded" and "down-graded" structure, respectively.

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“…Схема ПМО КРФА представлена на рисунке 1. Система ПМО КРФА выполняет сначала автоматическую рентгенофазовую идентификацию (ФИ) минерального состава пробы и его первичный КРФА (КРФА1) по мультирефлексному методу RIR [2] с использованием корундовых чисел фаз. Далее по данным ФИ и КРФА1 автоматически формируется конкретное задание для программы метода Ритвельда, которая затем выполняет точный КРФА минерального состава данной пробы.…”

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“…The scheme of the SMS for QPA is presented in Figure 1. The QPA SMS system first performs automatic phase identification (PhI) of the sample's mineral composition and its primary QPA (QPA1) using the multireflex RIR method [2] with the use of corundum phase numbers. Then, based on the PhI and QPA1 data, a specific task is automatically generated for the Rietveld method program, which then performs an accurate QPA of the mineral composition of the given sample.…”

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confidence: 99%

Automated System for X-Ray Phase Analysis of the Mineral-Phase Composition of Ores and Technological Products

Yakimov,

Zaloga,

Dubinin

et al. 2023

XVI INTERNATIONAL CONFERENCE "METALLURGY OF NON-FERROUS, RARE AND NOBLE METALS" Named After Corresponding Member of the RAS Gen

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The properties of complex ores that determine the technologies for their processing are inherent in the minerals and their compositions, rather than individual chemical elements. Therefore, conventional production control based solely on the chemical composition cannot fully determine the quality and technological properties of ores and enrichment products. In recent years, the use of automated X-ray diffraction quantitative phase analysis (XRD QPA) using the full-profile Rietveld method [1] has been intensively developed in global practice for controlling the mineral composition. The essence of the method is to model the diffraction pattern of the sample measured on a diffractometer with calculated diffraction patterns of its phases, which are computed from the atomic-crystalline structures of minerals. This refines the lattice parameters, peak profile of the diffraction peaks of phases, textures, and possibly the crystal structure parameters of the main phases of the sample. This makes Rietveld QPA the most accurate of the existing methods. However, the Rietveld QPA method is effective only when the qualitative mineral composition of ores and products is known and stable, and even partial changes in samples lead to errors. This impedes the development of automation of Rietveld XRD QPA in cases of significantly variable mineral composition.

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Method of regularized multipeak reference intensity ratio for quantitative X-ray phase analysis of polycrystalline materials

Cited by 8 publications

References 5 publications

Variability of Ore Mineralogy at the Olimpiada Deposit

Variability of Ore Mineralogy at the Olimpiada Deposit

Fabrication and Crystal Structure of Sol-Gel Deposited BST Thin Films with Compositional Gradient

Automated System for X-Ray Phase Analysis of the Mineral-Phase Composition of Ores and Technological Products

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