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

Optoelectronics Research Centre, University of Southampton, Southampton SO17 1BJ, UK
Interests: femtosecond laser machining; spatial light modulator; digital micromirror device; machine learning; artificial neural networks; convolutional neural networks

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

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Micromachines is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Laser materials processing
  • Laser machining
  • Additive manufacturing
  • Spatial light modulator
  • Machine learning
  • Smart laser machining

Published Papers (1 paper)

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Research

15 pages, 7857 KiB  
Article
Influences of Initial Surface Conditions on Response Characteristics of Amorphous Silicon Films to Nanosecond Laser Irradiation
by Yingming Ren and Zhiyu Zhang
Micromachines 2021, 12(7), 807; https://doi.org/10.3390/mi12070807 - 9 Jul 2021
Cited by 2 | Viewed by 2005
Abstract
Although laser-produced micro-/nano-structures have been extensively studied, the effects of the initial surface conditions on the formed micro-/nano-structures have rarely been investigated. In this study, through nanosecond pulsed laser irradiation of unpolished and polished amorphous silicon films, entirely different surface characteristics were observed. [...] Read more.
Although laser-produced micro-/nano-structures have been extensively studied, the effects of the initial surface conditions on the formed micro-/nano-structures have rarely been investigated. In this study, through nanosecond pulsed laser irradiation of unpolished and polished amorphous silicon films, entirely different surface characteristics were observed. The effects of laser irradiation parameters, such as repetition frequency, beam overlap ratio, and scanning velocity, on the surface characteristics were investigated, followed by the characterization of surface roughness, energy-dispersive X-ray spectroscopy, and Raman spectroscopy of the irradiated surfaces. For the unpolished surface, novel micro-protrusions were generated after laser irradiation, whereas no such micro-protrusions were formed on the polished surface. The experimental results indicated that the height of the micro-protrusions could be tuned using laser irradiation parameters and that laser irradiation promoted the crystallization of the amorphous silicon film. Moreover, the formation mechanism of the micro-protrusions was linked to fluctuations of the solid–liquid interface caused by continuous laser pulse shocks at higher repetition frequencies. The findings of this study suggest important correlations between the initial surface conditions and micro-/nano-structure formation, which may enhance our fundamental understanding of the formation of micro-/nano-structures. Full article
(This article belongs to the Special Issue Intelligent Laser Materials Processing)
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