This article explores the integration of artificial intelligence—particularly machine learning and deep learning—into laser processing for improved prediction and optimization. It highlights applications in modeling residual stress, predicting porosity, and estimating laser absorptivity in real time. AI-driven laser manufacturing enhances process reliability, efficiency, and material quality through data-driven control and intelligent decision-making.
CO₂, solid-state, and excimer lasers represent three major types of industrial lasers, each with distinct mechanisms and application scopes.
CO₂ lasers are valued for high power and infrared processing, solid-state lasers offer compactness and excellent beam quality, while excimer lasers dominate in ultraviolet applications.
Choosing the right laser depends on factors such as wavelength, pulse characteristics, and material interaction efficiency.
How to Choose a Glass Laser Cutting Machine: A Comprehensive Guide by Argus LaserIn the rapidly evolving world of laser cutting technology, glass laser cutting machines have become indispensable tools for industries ranging from architectural glass design and decorative arts to optical applications