Thermo Scientific ARL iSpark Plus Optical Emission Spectrometer: Options for ultra-fast inclusion analysis
Brochures and specifications | 2023 | Thermo Fisher ScientificInstrumentation
Inclusion analysis is critical for ensuring the structural integrity and performance of metals, particularly in steel production. Nonmetallic inclusions can act as stress concentrators, leading to fatigue, reduced toughness, and failure in downstream processing. Rapid and reliable inclusion characterization supports real-time process control, reduces scrap, and enhances final product quality.
This brochure presents the Spark-DAT inclusion analysis solutions implemented on the Thermo Scientific ARL iSpark Plus Optical Emission Spectrometer. It reviews the integrated methods, software tools, and support options designed for ultra-fast, combined elemental and inclusion analysis in steel, aluminum, and other non-ferrous metals.
The inclusion analysis workflow combines spark OES measurements with Spark-DAT statistical algorithms. Three preconfigured methods—Basic, Standard, and Advanced Inclusion Analysis—are delivered ready to use:
Data acquisition and processing are managed by OXSAS software with optional modules Spark Explorer, Inclusions Report, Ternary Diagrams, and SPC connectivity.
The ARL iSpark Plus delivers combined elemental and inclusion data in the time required for elemental analysis alone, enabling analysis of several hundred samples per day. Spark-DAT algorithms discriminate inclusion types, measure size distributions (S/M/L classes), and calculate volume fractions and concentrations. OXSAS handles large datasets without limitation, provides real-time result display, and integrates with LIMS or SPC systems.
Key advantages include:
Emerging directions include deeper integration with Industry 4.0 systems, application of machine learning to refine Spark-DAT parameters, expansion of inclusion analysis to additional alloys, and enhanced remote diagnostics. Greater customization of statistical algorithms will further tailor inclusion screening to specific process requirements.
The Spark-DAT methodology on the ARL iSpark Plus offers an industry-leading platform for ultra-fast, combined elemental and inclusion analysis. Its modular methods and software ecosystem deliver actionable data for quality assurance, process optimization, and continuous improvement in metal production.
Optical Emission Spectroscopy (OES)
IndustriesMaterials Testing, Energy & Chemicals
ManufacturerThermo Fisher Scientific
Summary
Importance of the Topic
Inclusion analysis is critical for ensuring the structural integrity and performance of metals, particularly in steel production. Nonmetallic inclusions can act as stress concentrators, leading to fatigue, reduced toughness, and failure in downstream processing. Rapid and reliable inclusion characterization supports real-time process control, reduces scrap, and enhances final product quality.
Study Objectives and Overview
This brochure presents the Spark-DAT inclusion analysis solutions implemented on the Thermo Scientific ARL iSpark Plus Optical Emission Spectrometer. It reviews the integrated methods, software tools, and support options designed for ultra-fast, combined elemental and inclusion analysis in steel, aluminum, and other non-ferrous metals.
Methodology and Instrumentation
The inclusion analysis workflow combines spark OES measurements with Spark-DAT statistical algorithms. Three preconfigured methods—Basic, Standard, and Advanced Inclusion Analysis—are delivered ready to use:
- Basic Inclusion Analysis: entry-level screening of Al, Ca, Mg, S inclusions in low-alloy steels with a one-page report.
- Standard Inclusion Analysis: broad-spectrum evaluation of inclusions across all metals and alloys supporting qualitative results and a dedicated report.
- Advanced Inclusion Analysis: full-capability evaluation including equivalent sphere diameter, inclusion volume fraction, and oxygen content in killed steels.
Data acquisition and processing are managed by OXSAS software with optional modules Spark Explorer, Inclusions Report, Ternary Diagrams, and SPC connectivity.
Main Results and Discussion
The ARL iSpark Plus delivers combined elemental and inclusion data in the time required for elemental analysis alone, enabling analysis of several hundred samples per day. Spark-DAT algorithms discriminate inclusion types, measure size distributions (S/M/L classes), and calculate volume fractions and concentrations. OXSAS handles large datasets without limitation, provides real-time result display, and integrates with LIMS or SPC systems.
Benefits and Practical Applications
Key advantages include:
- Single-run elemental and inclusion analysis for maximum throughput.
- Near real-time quality checks across production batches.
- Cost savings through early detection and reduction of inclusion-related defects.
- Seamless automation with ARL SMS and integration into process control workflows.
Future Trends and Possibilities
Emerging directions include deeper integration with Industry 4.0 systems, application of machine learning to refine Spark-DAT parameters, expansion of inclusion analysis to additional alloys, and enhanced remote diagnostics. Greater customization of statistical algorithms will further tailor inclusion screening to specific process requirements.
Conclusion
The Spark-DAT methodology on the ARL iSpark Plus offers an industry-leading platform for ultra-fast, combined elemental and inclusion analysis. Its modular methods and software ecosystem deliver actionable data for quality assurance, process optimization, and continuous improvement in metal production.
Instrumentation Used
- ARL iSpark Plus Optical Emission Spectrometer
- ARL SMS Sample Manipulation System
- OXSAS analysis software with Spark-DAT tools
- Spark Explorer module
- Inclusions Report module
- Ternary Diagrams module
- Statistical Process Control (SPC) software interfaces
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
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