Quantitative phase analysis of mining products for ceramic industry with ARL EQUINOX 100 X-ray Diffractometer

Importance of the Topic

The production of ceramic materials relies heavily on the precise mineral composition of raw mining products. X-ray diffraction (XRD) based phase analysis is essential for ensuring consistent product quality, optimizing energy consumption during firing processes, and selecting the right fluxes for melting.

Objectives and Overview of the Study

This study demonstrates how the Thermo Scientific ARL EQUINOX 100 X-ray diffractometer can be employed to quantitatively analyze the phase composition of key ceramic industry feedstocks. Samples of ball clay, kaolin, magnesite, and feldspar were measured to validate the method’s accuracy and speed.

Methodology and Instrumentation

Quantitative analysis was performed in reflection mode using Cu Kα radiation (1.5418 Å). Samples were rotated during a 10-minute scan to improve particle statistics. Data acquisition leveraged the curved position sensitive detector (CPS) for simultaneous real-time measurement of all diffraction peaks. Phase identification was carried out using MATCH! software in combination with the ICDD pdf4+ database, while Rietveld refinement and quantification were conducted using MAUD.

Main Results and Discussion

• Ball clay sample: 15% quartz, 85% kaolinite (unusually high quartz content).
• Kaolin sample: 7% quartz, 93% kaolinite, reflecting typical processed kaolin quality.
• Magnesite sample: 98% magnesite, 1% dolomite, 1% lizardite, indicating high purity for high-temperature ceramics.
• Feldspar sample: 98% microcline with 2% quartz traces, suitable as a flux in ceramic bodies.

These findings confirm the method’s capability to detect minor phases and assess raw material quality accurately.

Benefits and Practical Applications of the Method

• Rapid phase quantification supports real-time quality control in ceramic production.
• Low power consumption and portability enable on-site analysis at mining locations.
• Reduced infrastructure requirements facilitate deployment in multiple laboratories.

Future Trends and Potential Applications

Advancements in detector technology and software algorithms may further accelerate data processing and enhance detection limits. Integration of portable XRD with machine learning models could automate phase identification and optimize feedstock blends in real time. Field-deployable diffractometers will empower direct analysis at remote mining sites, reducing feedback loops in production chains.

Conclusion

The ARL EQUINOX 100 X-ray diffractometer, combined with MATCH! and MAUD software, provides a robust and efficient solution for quantitative phase analysis in the ceramic industry. Its fast data collection, portability, and comprehensive software support make it an ideal tool for QA/QC workflows both in laboratories and at mining sites.

Instrumentation Used

• Thermo Scientific ARL EQUINOX 100 diffractometer with micro-focus Cu (50 W) or Co (15 W) tube and mirror optics.
• Curved position sensitive detector (CPS) for simultaneous peak measurement.
• Reflection mode configuration with sample rotation.
• Software: MATCH! with ICDD pdf4+ for phase identification; MAUD for Rietveld refinement.