EDXRF analysis of cast iron composition with ARL QUANT’X Spectrometer
Applications | 2023 | Thermo Fisher ScientificInstrumentation
Cast iron alloys, defined by their high carbon content (1.8–4.0% w/w), play a vital role in industries ranging from automotive to construction. Precise control of elemental composition, particularly carbon, determines mechanical properties such as hardness, ductility, and wear resistance. Reliable, rapid, and non-destructive analytical methods are essential for quality control, research, and process optimization.
This application note demonstrates the use of the Thermo Scientific ARL QUANT’X EDXRF Spectrometer, equipped with a graphene-window SDD500G detector, for quantitative analysis of cast iron. The primary goals are to establish calibration curves for key elements (C, Si, P, S, Cr, Mn, Ni), evaluate linearity and matrix effects, and assess repeatability across a range of measurement conditions.
Instrumentation:
Analytical Conditions:
Calibration and Sample Preparation:
Eight VASKUT certified reference materials were ground and polished using 120-grit Al₂O₃ on a circular sander. Calibration curves covered concentration ranges from 0.01% to 3.89% w/w, with single influence coefficients applied for Si and Ni to correct minor matrix effects.
Carbon Kα peaks were clearly resolved in the 0.16–0.38 keV region after linear background subtraction. All calibration curves exhibited strong linearity (R² ranging from 0.9197 for C to >0.992 for other elements) and low RMSE (<0.16% w/w). Repeatability tests on the VASKUT 185 standard (3.28% C) across live times of 20–600 s delivered relative standard deviations below 5%, confirming robust precision even at short measurement durations.
The ARL QUANT’X EDXRF approach offers:
Further enhancements may include automated sample handling for high-throughput screening, expanded calibration libraries for diverse ferrous alloys, integration with process control systems for in-line monitoring, and hybrid analytical platforms combining EDXRF with portable or benchtop techniques for complementary insights.
The Thermo Scientific ARL QUANT’X EDXRF Spectrometer, when equipped with an ultra-thin graphene window detector, provides a fast, accurate, and repeatable solution for comprehensive cast iron compositional analysis. Its ability to quantify both light and heavy elements with minimal sample preparation makes it an attractive tool for industrial QA/QC and academic research.
X-ray
IndustriesEnergy & Chemicals
ManufacturerThermo Fisher Scientific
Summary
Significance of the Topic
Cast iron alloys, defined by their high carbon content (1.8–4.0% w/w), play a vital role in industries ranging from automotive to construction. Precise control of elemental composition, particularly carbon, determines mechanical properties such as hardness, ductility, and wear resistance. Reliable, rapid, and non-destructive analytical methods are essential for quality control, research, and process optimization.
Study Objectives and Overview
This application note demonstrates the use of the Thermo Scientific ARL QUANT’X EDXRF Spectrometer, equipped with a graphene-window SDD500G detector, for quantitative analysis of cast iron. The primary goals are to establish calibration curves for key elements (C, Si, P, S, Cr, Mn, Ni), evaluate linearity and matrix effects, and assess repeatability across a range of measurement conditions.
Methodology and Instrumentation
Instrumentation:
- ARL QUANT’X EDXRF Spectrometer with 50 W/50 kV rhodium anode and 9-position filter wheel
- Silicon drift detector (SDD500G) featuring a 0.9 µm graphene window for enhanced detection of low-energy X-rays (Z ≥ 6)
- Sample spinner, 10/20-position changer, and capability to operate in air, helium, or vacuum (vacuum used here)
Analytical Conditions:
- Low Za: 4 kV excitation, no filter, 600 s live time for light elements (C, Si, P, S)
- Mid Za: 16 kV excitation, thin Pd filter, 120 s live time for heavier elements (Cr, Mn, Fe, Ni)
Calibration and Sample Preparation:
Eight VASKUT certified reference materials were ground and polished using 120-grit Al₂O₃ on a circular sander. Calibration curves covered concentration ranges from 0.01% to 3.89% w/w, with single influence coefficients applied for Si and Ni to correct minor matrix effects.
Main Results and Discussion
Carbon Kα peaks were clearly resolved in the 0.16–0.38 keV region after linear background subtraction. All calibration curves exhibited strong linearity (R² ranging from 0.9197 for C to >0.992 for other elements) and low RMSE (<0.16% w/w). Repeatability tests on the VASKUT 185 standard (3.28% C) across live times of 20–600 s delivered relative standard deviations below 5%, confirming robust precision even at short measurement durations.
Benefits and Practical Applications
The ARL QUANT’X EDXRF approach offers:
- Non-destructive, simultaneous multi-element quantification
- Capability to detect light elements (carbon) without chemical combustion
- Simple calibration workflows with minimal matrix corrections
- High throughput suitable for production-line quality control and laboratory research
Future Trends and Potential Applications
Further enhancements may include automated sample handling for high-throughput screening, expanded calibration libraries for diverse ferrous alloys, integration with process control systems for in-line monitoring, and hybrid analytical platforms combining EDXRF with portable or benchtop techniques for complementary insights.
Conclusion
The Thermo Scientific ARL QUANT’X EDXRF Spectrometer, when equipped with an ultra-thin graphene window detector, provides a fast, accurate, and repeatable solution for comprehensive cast iron compositional analysis. Its ability to quantify both light and heavy elements with minimal sample preparation makes it an attractive tool for industrial QA/QC and academic research.
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
Similar PDF
Analysis of wear metals in oil under ambient air using the ARL QUANT’X EDXRF
2017|Thermo Fisher Scientific|Applications
APPLICATION NOTE Pascal Lemberge, Thermo Fisher Scientific Ecublens, Switzerland Background Monitoring the presence of wear metals in lubricants, oils and other machine fluids is a preventive measure to identify potential problems with an engine. Early detection of wear metals in…
Key words
quant’x, quant’xarl, arledxrf, edxrfmid, midair, airmetals, metalsthick, thickauto, autowear, wearcurves, curvesexcites, excitesgreases, greasesrmse, rmsecondition, conditionobtained
Analysis of lubricant additive elements under ambient air using EDXRF
2017|Thermo Fisher Scientific|Applications
APPLICATION NOTE Pascal Lemberge, Thermo Fisher Scientific Ecublens, Switzerland Background High quality lubricants are essential to reduce wear and heat between constantly moving and contacting surfaces within precision-engineered equipment. Formulated far beyond simple petroleum base oils through a complex variety…
Key words
lubricant, lubricantppm, ppmquant’x, quant’xair, airedxrf, edxrfarl, arlauto, autoelements, elementsadditive, additivemid, midlubricants, lubricantsphosphorous, phosphorousatmosphere, atmospheremoving, movingrmse
Studying the homogeneity of tourmalines with the ARL QUANT’X EDXRF Spectrometer
2022|Thermo Fisher Scientific|Applications
Application note Studying the homogeneity of tourmalines with the ARL QUANT’X EDXRF Spectrometer Introduction This wide range of potential combinations explains how there Tourmalines are well-known, valuable gemstones available in a are 37 generally accepted tourmaline species, with schorl variety…
Key words
orientation, orientationedxrf, edxrfvacuum, vacuumsio, siostone, stonetourmaline, tourmalinearl, arlorientations, orientationsquant’x, quant’xelements, elementsmid, midhomogeneity, homogeneitythick, thickcompositional, compositionalrepeatability
Analysis of air filters using the ARL QUANT’X EDXRF Spectrometer
2019|Thermo Fisher Scientific|Applications
APPLICATION NOTE Author: Pascal Lemberge, Thermo Fisher Scientific Ecublens, Switzerland Keywords ARL QUANT’X, EDXRF, Silicon Drift Detector (SDD), Air Filters, Ambient Particulate Matter, Environment, Pollution Introduction The United States Environmental Protection Agency’s (U.S. EPA) commitment to improve air quality across…
Key words
quant’x, quant’xarl, arlspectrometer, spectrometervacuum, vacuumair, airedxrf, edxrfwintrace, wintraceelements, elementsexcitation, excitationsdd, sddfilter, filteranalysis, analysisambient, ambientthick, thickthermo