Multi–Objective Optimization of Flame Scarfing Parameters in Low-Carbon Steel Slabs for Enhanced Process Performance

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Abstract:

Surface defects in hot-rolled steel slabs, particularly EN 10025-2 S235JR, are commonly addressed through manual flame scarfing. However, variability in operator technique and uncontrolled parameters often lead to inconsistent results. This study investigates the effects of inner oxygen nozzle length and scarfing path width using Taguchi experimental design and Response Surface Methodology. Key performance metrics—slag mass, removal depth, and processing time—were analysed. Results show that longer nozzles combined with narrower paths minimize slag without sacrificing efficiency. Regression models (R² > 0.95) validated by MATLAB simulations confirmed strong predictive accuracy. The findings offer a statistically optimized approach to improve surface treatment consistency, presenting a practical framework for enhancing manual scarfing operations in steel manufacturing.

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Materials Science Forum (Volume 1195)

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3-11

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June 2026

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© 2026 Trans Tech Publications Ltd. All Rights Reserved

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