Intelligent Laser Materials Processing
A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "D:Materials and Processing".
Deadline for manuscript submissions: closed (10 April 2021) | Viewed by 2396
Special Issue Editor
Special Issue Information
Dear Colleagues,
Laser materials processing is a highly flexible non-contact fabrication method used extensively across academia and industry. Whilst recent developments in lasers have provided significant increases in the number of photons available, processes to enhance the precision and effectiveness of the delivery of photons to the workpiece are becoming increasingly important.
In this Special Issue, we welcome research contributions that describe novel techniques for making laser material processing more "intelligent" in order to optimise the light–matter interaction. This Special Issue broadly covers three categories.
Firstly, spatial intensity beam-shaping techniques, such as those achievable through the application of a spatial light modulator, include the use of beam combination, wavefront correction, phased arrays, and other specialist methods for controlling the phase of the laser pulse, for example, to produce doughnut beams and Bessel beams.
Secondly, temporal beam-shaping techniques, such as the specific design of temporal profiles, and the use of pulse trains to enhance cumulative effects.
Thirdly, the development of methods for enabling feedback during laser materials processing, including those achievable through imaging, spectroscopy, and other sensing approaches. This includes both the techniques for enabling the feedback, such as computer vision and machine learning, as well as methods for taking advantage of such feedback, including wavelength shifting and beam shape optimisation.
Contributions are welcome for both additive and subtractive fabrication methods, and for continuous wave and pulsed laser systems.
Dr. Ben Mills
Guest Editor
Manuscript Submission Information
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Keywords
- Laser materials processing
- Laser machining
- Additive manufacturing
- Spatial light modulator
- Machine learning
- Smart laser machining