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Accurate assessment of non-metallic inclusionsInclusion is essential for steelSteel quality assuranceQuality assurance. ASTM E45ASTM E45 provides the established framework, yet its manual application remains the industrial norm. Manual ratings are labor-intensive, subjective, and difficult to scale, but remain entrenched in certification and contractual requirements. We demonstrate a proof-of-concept hybrid solution that combines deterministic digital image analysisDigital image analysis with streamlined human review. The pipeline automates illumination correction, segmentation, hot-axis estimation, clustering, and severity mapping in line with ASTM E45ASTM E45 rules. Results are presented as graphical overlays and software-based tables that allow operators to rapidly review and correct features before final reporting. This hybrid approach preserves contractual compliance while reducing bias and workload. It demonstrates the feasibility of reproducible, high-throughput cleanliness assessments that generate statistically robust datasets, creating value both for quality assuranceQuality assurance and for processProcess and product development.

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Automated ASTM-E45 Inclusion Classification Using Deterministic Image Analysis

  • 会议论文

  • 发表日期：

    2026年

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  • Hannes Zedel,
  • Mårten Görnerup,
  • Ragnhild E. Aune

摘要

Accurate assessment of non-metallic inclusionsInclusion is essential for steelSteel quality assuranceQuality assurance. ASTM E45ASTM E45 provides the established framework, yet its manual application remains the industrial norm. Manual ratings are labor-intensive, subjective, and difficult to scale, but remain entrenched in certification and contractual requirements. We demonstrate a proof-of-concept hybrid solution that combines deterministic digital image analysisDigital image analysis with streamlined human review. The pipeline automates illumination correction, segmentation, hot-axis estimation, clustering, and severity mapping in line with ASTM E45ASTM E45 rules. Results are presented as graphical overlays and software-based tables that allow operators to rapidly review and correct features before final reporting. This hybrid approach preserves contractual compliance while reducing bias and workload. It demonstrates the feasibility of reproducible, high-throughput cleanliness assessments that generate statistically robust datasets, creating value both for quality assuranceQuality assurance and for processProcess and product development.