Abstract <p>Effective control of the spatial distribution of laser beam energy plays a key role in material processing technologies. The integration of diffractive optical elements (DOE) with digital tools opens new prospects for the control of laser processes, enabling precise energy distribution, adaptive adjustment of processing parameters, and improved predictability of outcomes. This paper explores digital approaches to the design and application of diffractive optics in laser processing. It describes methods for tuning laser beam parameters, the use of digital twins, and machine learning algorithms to enhance processing accuracy. The paper also thoroughly examines the potential applications of digital technologies for optimizing micro- and nano-processing, laser welding, and improving the quality and stability of materials during laser modification. The future development of these technologies, including integration with adaptive systems and optimization algorithms, is presented, opening new horizons for precision manufacturing processes.</p>

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Diffractive Optics in Laser Processing: Digital Approaches to Design and Application

  • S. P. Murzin

摘要

Abstract

Effective control of the spatial distribution of laser beam energy plays a key role in material processing technologies. The integration of diffractive optical elements (DOE) with digital tools opens new prospects for the control of laser processes, enabling precise energy distribution, adaptive adjustment of processing parameters, and improved predictability of outcomes. This paper explores digital approaches to the design and application of diffractive optics in laser processing. It describes methods for tuning laser beam parameters, the use of digital twins, and machine learning algorithms to enhance processing accuracy. The paper also thoroughly examines the potential applications of digital technologies for optimizing micro- and nano-processing, laser welding, and improving the quality and stability of materials during laser modification. The future development of these technologies, including integration with adaptive systems and optimization algorithms, is presented, opening new horizons for precision manufacturing processes.