This thesis explores the use of OES–PDA to monitor and analyze steel inclusions directly on casting samples. It validates routine and detailed measurements, tracks inclusion evolution during production, and correlates inclusion types with clogging events in continuous casting. By combining statistical analysis of historical data with in-depth study of new casts, the work identifies the inclusions most responsible for clogging, establishes threshold values for high-risk casts, and proposes countermeasures to prevent defects. The findings aim to enhance the microinclusion cleanliness of finished steel products, providing actionable insights for production control and quality optimization.
Questa tesi esplora l’utilizzo della tecnica OES–PDA per monitorare e analizzare le inclusioni negli acciai direttamente sui provini di colata. Vengono validate sia le misurazioni di routine sia quelle più dettagliate, studiata l’evoluzione delle inclusioni durante la produzione e correlati i tipi di inclusioni con i fenomeni di clogging nella colata continua. Combinando l’analisi statistica dei dati storici con lo studio approfondito di nuove colate, il lavoro identifica le inclusioni maggiormente responsabili del clogging, definisce valori soglia per le colate a rischio elevato e propone contromisure preventive. I risultati mirano a migliorare la pulizia microinclusionale dei prodotti finiti, fornendo indicazioni pratiche per il controllo della produzione e l’ottimizzazione della qualità.
On-line OES-PDA monitoring to assure microstructural cleanliness of special steels
BEGHDADI, MOHAMED BENAMAR
2025/2026
Abstract
This thesis explores the use of OES–PDA to monitor and analyze steel inclusions directly on casting samples. It validates routine and detailed measurements, tracks inclusion evolution during production, and correlates inclusion types with clogging events in continuous casting. By combining statistical analysis of historical data with in-depth study of new casts, the work identifies the inclusions most responsible for clogging, establishes threshold values for high-risk casts, and proposes countermeasures to prevent defects. The findings aim to enhance the microinclusion cleanliness of finished steel products, providing actionable insights for production control and quality optimization.| File | Dimensione | Formato | |
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Beghdadi_Mohamed_THESIS.pdf
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https://hdl.handle.net/20.500.12608/110288