Content area
This article focuses on the application of digital engineering in diffractive optics for precision laser material processing. It examines methods for the development of diffractive optical elements (DOEs) and adaptive management approaches that enhance the accuracy and efficiency of laser processing. Key achievements are highlighted in numerical modeling, machine learning applications, and geometry optimization of optical systems, along with the integration of dynamic DOEs with laser systems for adaptive beam control. The discussion includes the development of complex diffractive structures with improved characteristics and new optimization approaches. Special attention is given to the application of DOEs in micro- and nanostructuring, additive manufacturing technologies, and their integration into high-performance laser systems. Additionally, challenges related to the thermal stability of materials and the complexity of adaptive DOE control are explored, as well as the role of artificial intelligence in enhancing laser processing efficiency.
Details
Software;
Accuracy;
Artificial intelligence;
Thermal stability;
Diffractive optical elements;
Manufacturing;
Machine learning;
Visualization;
Optics;
Efficiency;
Design techniques;
Adaptive systems;
Laser processing;
Fourier transforms;
Lasers;
Numerical models;
Neural networks;
Diffractive optics;
Optimization;
Methods;
Complexity;
Adaptive management;
Light;
Optimization algorithms;
Digital technology
1 TU Wien, Karlsplatz 13, 1040 Vienna, Austria; [email protected], Samara National Research University, Moskovskoe Shosse 34, Samara 443086, Russia