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<p>This study investigates laser-induced decoration of soda-lime glass, emphasizing how laser parameters, particularly power and scanning speed, affect surface morphology and optical properties. An initial analytical model, inspired by existing literature, is developed to predict the dimensions of the laser-induced damaged zone (DZ) at the micro-scale level. A more refined numerical model is then introduced to reduce simplifying assumptions and access hard-to-measure physical values. Experimental validation enables the comparison of both models. Results show that the analytical model reliably predicts DZ width for moderate fluences (ϕ* &lt; 3.1), while the numerical model yields better accuracy at higher fluences. For DZ depth, the analytical model is effective only up to ln(ϕ/Vₘ) &lt; 5 (~ 100&#xa0;μm); beyond that, it diverges. The numerical model offers more consistent results across the entire range, though with a slight underestimation. The study also explores the potential for reducing process parameters through the definition of a meta-parameter analogous to fluence, supporting broader industrial applications.</p>

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Numerical, semi-analytical and experimental investigation of CO2 laser-induced micro-damaged zone on soda-lime glass in scanning mode

  • 期刊论文

  • 发表日期：

    2025年12月12日

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  • A. Capelle,
  • B. Aspe,
  • A. Petit,
  • M. Depardieu,
  • A.-L. Thomann,
  • N. Semmar

摘要

This study investigates laser-induced decoration of soda-lime glass, emphasizing how laser parameters, particularly power and scanning speed, affect surface morphology and optical properties. An initial analytical model, inspired by existing literature, is developed to predict the dimensions of the laser-induced damaged zone (DZ) at the micro-scale level. A more refined numerical model is then introduced to reduce simplifying assumptions and access hard-to-measure physical values. Experimental validation enables the comparison of both models. Results show that the analytical model reliably predicts DZ width for moderate fluences (ϕ* < 3.1), while the numerical model yields better accuracy at higher fluences. For DZ depth, the analytical model is effective only up to ln(ϕ/Vₘ) < 5 (~ 100 μm); beyond that, it diverges. The numerical model offers more consistent results across the entire range, though with a slight underestimation. The study also explores the potential for reducing process parameters through the definition of a meta-parameter analogous to fluence, supporting broader industrial applications.