Chair: Danijela Rostohar, Coventry University
Artificial Intelligence (AI) is highly topical globally due to much-publicised developments in everything from smart listening virtual assistants like Siri and Alexa through spam filters, facial recognition, autonomous vehicles, smart walking robots and large language chatbots like Chat GPT.
In manufacturing huge changes are taking place, enabled by Machine Learning and Digital Twins. Using these techniques, processes can be improved and optimised in dramatically shorter times and the accumulated knowledge of decades of experience can be captured and exploited without the need for individual experts who previously held this know-how in their heads. As a result, smarter factories are being enabled and manufacturing becomes digitised with the result in higher efficiency and lower emissions – reducing the impact on the environment, and overcoming skills shortages in key processes.
Applications in the laser industry and in academic research establishments will be presented at this workshop. Using Machine Learning and Digital Twins, complex processes like laser welding and surface structuring can be modelled and optimised (offline) gaining insight from massive data sets which can be harnessed by high speed number-crunching to enable consistent quality in new applications.
This workshop is suited to anyone seeking to build knowledge in this field, and to add subject experts to their network. The event is live in-person with a few remote presentations. Post-event, pdfs of presenter slides and video of the presentations will be available to all registered delegates. After the event a tour of the facilities will be available to see the application of this technology to automotive battery welding.
Institute For Advanced Manufacturing and Engineering (AME)
(SATNAV: Use postcode CV6 5JA)
09:30 – 10:00 Registration & Refreshments
10:00 – 10:10 Introduction & Welcome
Danijela Rostohar, Coventry University
10:10 – 10:30 Bridging Realities: The Impact of Digital Twins on Advanced Manufacturing Systems
Marcos Kauffman, Coventry University
10:30 – 10:50 Machine Learning vs Human – in process understanding
Jian Qin, Cranfield University
10:50 – 11:10 Laser beam shaping with diffractive neural networks
Paul Buske, RWTH Aachen
11:10 – 11:40 Break
11:40 – 12:00 High Power Laser Welding Systems in the Era of Digital Manufacturing: Trends & Emerging Needs
Pasquale Franciosa, WMG, Warwick University
12:00 – 12:20 Classification of laser welds using in process video and machine learning
Darren Williams, TWI; Peter Wilson, J4IC, Lancaster University
12:20 – 12:40 Process solutions for laser welding of EV components
Peter Kallage, Coherent
12:40 – 13:40 Lunch
13:40 – 14:00 The Power of AI in Automated Inline Quality Inspection and Provenance Control
Sebelan Danishvar, Z-Prime
14:00 – 14:20 AI for Science: Machine Learning for Laser Facilities and Applications
Jeyan Thiyagalingam, STFC
14:20 – 14:40 The role of CFD in digital twins for additive manufacturing and laser welding
Marcin Serdeczny, Flow Science Inc.
14:40 – 15:00 Seeing the unseen: Sensors with sophisticated data models enable higher manufacturing quality
Mark Thompson, Photonics Express
15:00 – 15:30 Break
15:30 – 16:30 Tour of AME & Hyperbat
Parking will be reserved in the Unipart/AME car park off Beresford Avenue. The entrance is shown below.
SATNAV: Use postcode CV6 5JA
Please also see the information sheet here – AME-Visitor-Information.docx
You will be asked to sign in at Reception.
There are numerous hotels in and around Coventry.
See Premier Inns here
See other hotels here
AILU EVENT T&Cs
See AILU Event Terms and Conditions here.
By registering for this meeting you agree that you are happy for AILU and Sponsors to contact you after the event