Efficient use of energy requires fast and accurate feedback about composition and condition of each electrolytical bath of an aluminium smelter. Rapid X-ray diffraction (XRD) analysis is a standard analytical tool for production control in aluminium industries. Traditionally, quality control of electrolytic baths has relied on calibration- based single peak methods or more advanced full pattern techniques (Rietveld method) [1,2].
Typical applications include the analysis of the phase composition and excess aluminium in electrolytic baths. Combination of the established analytical techniques with the statistical methods (Partial Least Squares Regression, PLSR) enables the extraction of additional process-relevant parameters, thus providing the maximum amount of information in the shortest possible time. This case study demonstrates an automated, ultrafast, complete XRD solution to monitor the most important bath parameters ensuring sharp process control with a feedback time of less than one minute.
Efficient use of energy requires fast and accurate feedback about composition and condition of each electrolytical bath of an aluminium smelter. Rapid X-ray diffraction (XRD) analysis is a standard analytical tool for production control in aluminium industries. Traditionally, quality control of electrolytic baths has relied on calibration- based single peak methods or more advanced full pattern techniques (Rietveld method) [1,2].
Typical applications include the analysis of the phase composition and excess aluminium in electrolytic baths. Combination of the established analytical techniques with the statistical methods (Partial Least Squares Regression, PLSR) enables the extraction of additional process-relevant parameters, thus providing the maximum amount of information in the shortest possible time. This case study demonstrates an automated, ultrafast, complete XRD solution to monitor the most important bath parameters ensuring sharp process control with a feedback time of less than one minute.
