Abstract
Introduction . Slag-forming mixtures play an important role in obtaining metal without non-metallic inclusions. Required properties of slag-forming mixtures (SFMs) directly depend on their chemical composition, that is why control of individual component content in a mixture is an important stage in the technological chain of metallurgical production. At the present time, it is a common practice to use inductively coupled plasma atomic emission spectrometry (ICP-AES for analyzing SFMs, requiring sample preparation by alloying with alkali fluxes, which makes it impossible to determine potassium and sodium oxides in a sample. That is why it is necessary to work out a procedure for simultaneous determination of calcium, silicon, magnesium, aluminium, potassium, and sodium oxides by the method of ICP-AES, which would include quantitative transferring of all components into a solution. For that purpose, it is suggested to use microwave digestion of samples in autoclaves. The purpose was to develop a procedure for simultaneous determination of specified components of SFMs using ICP-AES after transferring the sample into a solution in an autoclave under conditions of microwave heating, and to certify it reference materials of slag and fluxes. Materials and methods . Compositional analysis of slag-forming mixtures was conducted using an atomic emission spectrometer with inductively coupled plasma «iCAP 6500 Duo»; sample digestion was conducted with the use of the microwave system «ETHOS PLUS». The following brands of SFMs were chosen as research objects: Melubir 9563 and Accutherm ST-SP/235AL4D; AlsifluxGS-C7; SRCP015, SRCP173P. For calibrating the spectrometer and controlling correctness of determining the specified components, the following reference materials were used: reference materials of blast furnace slag, steelmaking slag, converter slag, and fused fluxes, which have close chemical composition. Research results . An ICP-AES analysis procedure has been developed for calibrating the spectrometer and controlling correctness of determining CaO, SiO2 , MgO, Al2 O3 , K2 O, Na2 O in reference materials of blast furnace slag, steelmaking slag, converter slag and fused fluxes, which allows to establish target components of SFMs quickly and reliably.
Highlights
Slag-forming mixtures play an important role in obtaining metal without non-metallic inclusions
Required properties of slag-forming mixtures (SFMs) directly depend on their chemical composition, that is why control of individual component content in a mixture is an important stage in the technological chain of metallurgical production
That is why it is necessary to work out a procedure for simultaneous determination of calcium, silicon, magnesium, aluminium, potassium, and sodium oxides by the method of ICP-AES, which would include quantitative transferring of all components into a solution
Summary
Поступила в редакцию 20 ноября 2017 г., после доработки – 27 ноября 2017 г. Разработка методики одновременного определения нормируемых компонентов ШОС методом АЭС ИСП после переведения пробы в раствор в автоклаве в условиях микроволнового нагрева, ее аттестация с применением стандартных образцов шлаков и флюсов. Ссылка при цитировании: Применение стандартных образцов доменных, сталеплавильных, конверторных шлаков и сварочных плавленых флюсов при разработке методики анализа шлакообразующих смесей методом атомно-эмиссионной спектрометрии с индуктивно связанной плазмой / И. Разработана методика АЭС ИСП анализа, предназначенная для градуировки спектрометра и контроля правильности определения CaO, SiO2, MgO, Al2O3, K2O, Na2O стандартных образцов шлаков доменных, сталеплавильных, конвертерных и флюсов сварочных плавленых, которая позволяет быстро и надежно определить целевые компоненты ШОС. Ключевые слова: шлакообразующие смеси, микроволновое разложение, атомно-эмиссионная спектроскопия с индуктивно связанной плазмой, индустриальные материалы, металлургическая промышленность, шлак доменный, шлак сталеплавильный, шлак конвертерный, флюс сварочный плавленый, методика анализа, проверка правильности определения компонентов. Received – November 20, 2017; Revised – November 27, 2017 Accepted for publication – December 11, 2017
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