Smart lasers for manufacturing of the future

Xie, Yunhui, Heath, Daniel, Grant-Jacob, James, MacKay, Benita, Scout, McDonnell, Michael, David Tom, Praeger, Matthew, Eason, Robert and Mills, Benjamin (2019) Smart lasers for manufacturing of the future. FEPS IoT Showcase. 05 Apr 2019.

Abstract

Lasers have become ubiquitous across industry and have transformed the manufacturing of components across almost all size scales, from the welding of ships, to the fabrication of micro-sized components. The Artificial Intelligence (AI) revolution has now begun, and no industry will be left untouched. The synergy of laser manufacturing processes, a market projected to grow annually by 8.9% to £23 billion in 2025, with state-of-the-art AI will completely transform the laser processing industry within the next decade. As commercial laser power is sufficient for the majority of manufacturing processes, future growth in this area is anticipated to arise predominantly from the introduction of capabilities such as process monitoring, autonomous control and data services which can be provided remotely via internet connection across the globe.

We are currently exploring the capability of neural networks for the monitoring and correction of laser-based manufacturing in real-time, via computer vision. We will show our latest results for the real-time monitoring of laser and sample parameters, as well as the capability for autonomous completion of manufacturing processes that have high variability. We envisage this technology will play a part in the smart factories of the future connected globally via the internet.

Full text not available from this repository.

Contributors

Author: James Grant-Jacob

Author: Benita, Scout MacKay

Author: Matthew Praeger

Author: Robert Eason

Author: Benjamin Mills

University divisions

• Nanophotonics Group
• Zepler Institute for Photonics and Nanoelectronics
• Institute for Life Sciences (pre 2018 reorg)

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