Laser wafer dicing process optimization using the Taguchi approach

This study uses an infrared cutting laser system to dice GaAs wafers. The Taguchi method determines the laser wafer dicing parameters [laser power (W), depth of focus (μm), and platform speed (m/s)] in relation to the dicing yield and single-grain compressive strength. An orthogonal array (L9 33), a signal-to-noise ratio, and an analysis of variance are employed to study the effects of these parameters. The result shows that the laser wafer dicing yield ranges from 85.53% to 95.20%, with laser power accounting for 86.08% of the total variation, making it the most significant factor. Additionally, the wafer dicing yield is positively correlated with grain compressive strength. Grain defects and corner chipping produced during the cutting process will reduce the compressive strength of the grains. Under the optimized laser wafer cutting conditions, the dicing yield and grain compressive strength reached 95.87% and 331.93 N/mm2, respectively.

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Publication Details

Journal
Journal of Laser Applications
Published
2024-08-01
DOI
https://doi.org/10.2351/7.0001409
Citations
2
Primary Topic
Laser Material Processing Techniques
Type
article
Field-Weighted Citation Impact
0.75
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article

Laser wafer dicing process optimization using the Taguchi approach

Chun‐Yao Hsu, R.D. Wang, Chih-Fu Yang, Chih-Tsung Chang et al.
2 citations
Journal of Laser Applications
Laser Material Processing Techniques
0.75
article

Laser wafer dicing process optimization using the Taguchi approach

Chun‐Yao Hsu, R.D. Wang, Chih-Fu Yang, Chih-Tsung Chang, Jin‐Yih Kao
article en
2 citations

Abstract

This study uses an infrared cutting laser system to dice GaAs wafers. The Taguchi method determines the laser wafer dicing parameters [laser power (W), depth of focus (μm), and platform speed (m/s)] in relation to the dicing yield and single-grain compressive strength. An orthogonal array (L9 33), a signal-to-noise ratio, and an analysis of variance are employed to study the effects of these parameters. The result shows that the laser wafer dicing yield ranges from 85.53% to 95.20%, with laser power accounting for 86.08% of the total variation, making it the most significant factor. Additionally, the wafer dicing yield is positively correlated with grain compressive strength. Grain defects and corner chipping produced during the cutting process will reduce the compressive strength of the grains. Under the optimized laser wafer cutting conditions, the dicing yield and grain compressive strength reached 95.87% and 331.93 N/mm2, respectively.

Journal of Laser ApplicationsVol. 36(3)
Lunghwa University of Science and Technology (TW)
Openalex Percentile: Top 34%
Laser Material Processing Techniques
0.75
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Laser wafer dicing process optimization using the Taguchi approach — Chun‐Yao Hsu, R.D. Wang, et al. · Journal of Laser Applications (2024) | TGRS Research Map | TGRS