煤中方解石检测方案(X射线衍射仪)

Phase Identification and quantification of Calcite in coal Over 40% of the world's electricity is generated by power plants fueledby coal. As the industry seeks to ever improve its efficiency and reducecarbon emissions the role of the raw material fuel， coal， is comingunder increased scrutiny. The amount of Calcite (CaCO3) in the coalfuel plays a critical role as this mineral reduces the efficiency of plant.Recent advancements in the field of X-ray Diffraction now make itpossible to easily perform a quantitative analysis of calcite in coal.Using either the inXitu field portable instrument， Terra， or its compan-ion product， BTX， inXitu is able to rapidly， and easily， perform thisanalysis. BTX： Benchtop XRD/XRF Terra： Field portable XRD/XRF The analysis requires loose powders of<100um. This is easily acheived usin asimple crusher and sample sieve； resultingcoal sample below. To perform this analysis， approximately 2 grams ofsamples were prepared using a simple 150umsample sieve. From this， ~0.50 grams wereinserted into the analysis sample cell. The result-ing diffraction patterns were collected with ananalysis time of five minutes. A linear regressionwas constructed using values provided frompreviously characterized samples. The results arepresented below. Sample Given Calc. Error A 15.3 13.1 -2.2 B 4.7 8.1 3.4 C 9.0 6.5 -2.5 D 27.4 30.2 2.8 E 28.0 31.0 3.0 F 34.0 34.1 0.1 G 25.8 22.6 -3.2 H 31.9 27.6 -4.3 1 33.2 36.0 2.8 Correlation 0.96 Application Summary inXi Phase identification and quantification of Calcite in CoalInsert sample into BTX， start acquistion Collect diffraction pattern BTX does not require any param-eters to be set. With no goniometeror moving parts， the acquisition isas simple as pressing the "start"button Drop diffraction pattern into supplied phase ID and quantiative software Using a supplied template method， the phase identification and quantitative analysisis as easy as loading the diffraction file. The software automatically identifies thephases and performs a quatitative analysis using an industry standard Relative Inten-sity Ration (RIR) method