Next-generation laser micromachining: AI tools for process parameter prediction on stainless steel, brass, and titanium
Abstract
Optimizing laser micromachining processes is often complex and time-consuming, requiring many tests to fine-tune parameters like pulse energy, speed, or frequency—especially when high precision and productivity are key. To simplify this, we developed an AI-powered solution that predicts optimal process parameters based on a dedicated database and machine learning models. This tool dramatically reduces testing time, cuts development costs, and speeds up process optimization—helping manufacturers quickly reach their quality and productivity goals. In this presentation, we will showcase how this solution accelerates laser micromachining development while reducing resource use.
Fields of Study & Subjects
Advanced Machining and Optimization Techniques
Laser Material Processing Techniques
Advanced machining processes and optimization
Publication details
- Journal / source
- Laser-based Micro- and Nanoprocessing
- Pages
- 39–39
- Publication date
- 4 March 2026
- Language
- EN