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Intelligent light: smart lasers for manufacturing

Intelligent light: smart lasers for manufacturing
Intelligent light: smart lasers for manufacturing
Lasers have revolutionised manufacturing, playing a crucial role in cutting, drilling, marking, welding, and 3D printing. However, laser-based manufacturing is undergoing a fundamental change, through the introduction of autonomous monitoring, control, and correction processes, all of which are central to the Manufacturing 4.0 and Smart Factory paradigms. The key ingredient in this transformation is deep learning, which has the potential to help create lasers that can make independent decisions in real-time. Laser companies are rapidly investing in this pivotal technology, and 2023 saw the first AI-supported laser welding products come to market.

This talk will discuss the application of deep learning to the field of laser-based manufacturing, with applications including laser parameter optimisation, predicting the outcome of laser machining, indirect imaging of the sample from plasma and acoustic information, identification of errors during machining, coherent beam combination, and identification of optimal strategies for machining bespoke structures.
Mills, Ben
05f1886e-96ef-420f-b856-4115f4ab36d0
Grant-Jacob, James A.
c5d144d8-3c43-4195-8e80-edd96bfda91b
Xie, Yunhui
c30c579e-365e-4b11-b50c-89f12a7ca807
Chernikov, Fedor
a5a56a14-d8cf-4a11-8946-dbb145dbda91
Zervas, Michalis
1840a474-dd50-4a55-ab74-6f086aa3f701
Mills, Ben
05f1886e-96ef-420f-b856-4115f4ab36d0
Grant-Jacob, James A.
c5d144d8-3c43-4195-8e80-edd96bfda91b
Xie, Yunhui
c30c579e-365e-4b11-b50c-89f12a7ca807
Chernikov, Fedor
a5a56a14-d8cf-4a11-8946-dbb145dbda91
Zervas, Michalis
1840a474-dd50-4a55-ab74-6f086aa3f701

Mills, Ben, Grant-Jacob, James A., Xie, Yunhui, Chernikov, Fedor and Zervas, Michalis (2024) Intelligent light: smart lasers for manufacturing. Optica: Lasers in Manufacturing, , Virtual.

Record type: Conference or Workshop Item (Other)

Abstract

Lasers have revolutionised manufacturing, playing a crucial role in cutting, drilling, marking, welding, and 3D printing. However, laser-based manufacturing is undergoing a fundamental change, through the introduction of autonomous monitoring, control, and correction processes, all of which are central to the Manufacturing 4.0 and Smart Factory paradigms. The key ingredient in this transformation is deep learning, which has the potential to help create lasers that can make independent decisions in real-time. Laser companies are rapidly investing in this pivotal technology, and 2023 saw the first AI-supported laser welding products come to market.

This talk will discuss the application of deep learning to the field of laser-based manufacturing, with applications including laser parameter optimisation, predicting the outcome of laser machining, indirect imaging of the sample from plasma and acoustic information, identification of errors during machining, coherent beam combination, and identification of optimal strategies for machining bespoke structures.

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More information

Published date: 17 June 2024
Venue - Dates: Optica: Lasers in Manufacturing, , Virtual, 2024-06-17

Identifiers

Local EPrints ID: 493920
URI: http://eprints.soton.ac.uk/id/eprint/493920
PURE UUID: 223ba78b-c932-4eb0-bc8f-0d2dddaf531c
ORCID for Ben Mills: ORCID iD orcid.org/0000-0002-1784-1012
ORCID for James A. Grant-Jacob: ORCID iD orcid.org/0000-0002-4270-4247
ORCID for Yunhui Xie: ORCID iD orcid.org/0000-0002-8841-7235
ORCID for Michalis Zervas: ORCID iD orcid.org/0000-0002-0651-4059

Catalogue record

Date deposited: 17 Sep 2024 16:57
Last modified: 18 Sep 2024 02:08

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Contributors

Author: Ben Mills ORCID iD
Author: James A. Grant-Jacob ORCID iD
Author: Yunhui Xie ORCID iD
Author: Fedor Chernikov
Author: Michalis Zervas ORCID iD

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