Review
Version 1
This version is not peer-reviewed
Digital Engineering: Innovations in Laser Processing Techniques
Version 1
: Received: 28 September 2024 / Approved: 29 September 2024 / Online: 30 September 2024 (11:47:16 CEST)
How to cite: Murzin, S. Digital Engineering: Innovations in Laser Processing Techniques. Preprints 2024, 2024092348. https://doi.org/10.20944/preprints202409.2348.v1 Murzin, S. Digital Engineering: Innovations in Laser Processing Techniques. Preprints 2024, 2024092348. https://doi.org/10.20944/preprints202409.2348.v1
Abstract
The transformative influence of digital engineering on photonic technologies is significant, es-pecially regarding advancements in laser processing through digital models, artificial intelli-gence (AI), and freeform optics. It presents a comprehensive review of how these technologies enhance efficiency, precision, and control in manufacturing processes. Digital models are pivotal for predicting and optimizing thermal effects in laser processing, thereby reducing material de-formation and defects. The integration of AI further refines these models, improving productiv-ity and quality in applications such as micro-machining and cladding. Additionally, the combi-nation of AI with freeform optics advances laser technology by enabling real-time adjustments and customizable beam profiles, which enhance processing versatility and reduce material damage. The use of digital twins is also examined as a key development in laser-based manu-facturing, offering significant improvements in process optimization, defect reduction, and sys-tem efficiency. By incorporating real-time monitoring, machine learning, and physics-based modeling, digital twins facilitate precise simulations and predictions, leading to more effective and reliable manufacturing practices. Overall, the integration of digital twins, AI, and freeform optics into laser processing marks a significant progression in manufacturing technology. These advancements collectively enhance precision, efficiency, and adaptability, resulting in improved product quality and reduced operational costs. The continued evolution of these technologies is expected to drive further advancements in manufacturing practices, offering more robust solu-tions for complex production environments.
Keywords
digital models; artificial intelligence (AI); freeform optics; digital twins; laser processing; manufacturing efficiency; photonics
Subject
Engineering, Mechanical Engineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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