Machine Learning Classification of Self-Organized Surface Structures in Ultrashort-Pulse Laser Processing Based on Light Microscopic Images

• Published in: Micromachines (Basel) Vol. 15; no. 4; p. 491
• Main Authors: Thomas, Robert, Westphal, Erik, Schnell, Georg, Seitz, Hermann
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01.04.2024
• Subjects: Ablation; Algorithms; automated classification; Cell growth; Classification; femtosecond laser; Hot work tool steels; Hot working; Image classification; Laser processing; Lasers; Machine learning; machine learning analysis; Manufacturing; Micromachining; Morphology; nano- and microstructures; Neural networks; Parameter modification; Process parameters; Pulsed lasers; Quality assurance; Quality control; Scanning electron microscopy; self-organized; Stainless steel; Stainless steels; Substrates; Technology application; Tool-steel; Topography; Web applications; United States; Germany; automated classification; femtosecond laser; self-organized; machine learning analysis; nano- and microstructures

In ultrashort-pulsed laser processing, surface modification is subject to complex laser and scanning parameter studies. In addition, quality assurance systems for monitoring surface modification are still lacking. Automated laser processing routines featuring machine learning (ML) can help overcome...