arbiter
JournalsPricingAccount

AI-Driven Framework for Optimizing and Predicting Hole Geometry in Multilayer Composite Substrates for Laser Drilling

Soma Nowatari et al.

International Journal of Automation Technology2025https://doi.org/10.20965/ijat.2025.p0268article
ABDC C
Weight
0.41

What the paper says

In laser drilling, precise parameter optimization is essential to achieving the desired hole characteristics. This study investigates the influence of the pulse width and pulse spacing on the machined hole geometry and proposes an artificial intelligence-based framework to predict hole shapes in multilayer composite substrates. The distribution of hole diameters resulting from CO 2 laser machining was evaluated via response surface methodology, considering variations in the pulse width and irradiation time. The results demonstrated a strong dependency of the hole diameters on the laser conditions and revealed significant autocorrelation among the machined-hole parameters.

2 citations

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.20965/ijat.2025.p0268

Or copy a formatted citation

@article{soma2025,
  title        = {{AI-Driven Framework for Optimizing and Predicting Hole Geometry in Multilayer Composite Substrates for Laser Drilling}},
  author       = {Soma Nowatari et al.},
  journal      = {International Journal of Automation Technology},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.20965/ijat.2025.p0268},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

AI-Driven Framework for Optimizing and Predicting Hole Geometry in Multilayer Composite Substrates for Laser Drilling

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.41

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.25 × 0.4 = 0.10
M · momentum0.55 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.