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SUMMARY:AILU Event | Laser Processing using Machine Learning & Digital Twins
DESCRIPTION:  \nIntroduction \nChair: Danijela Rostohar\, Coventry University \nArtificial 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. \nIn 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. \nApplications 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. \nThis 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. \n  \nVenue\nInstitute For Advanced Manufacturing and Engineering (AME)\nBeresford Ave\nCoventry\nCV6 5LZ \n(SATNAV: Use postcode CV6 5JA) \n  \nProgramme\n09:30 – 10:00  Registration & Refreshments \n10:00 – 10:10  Introduction & Welcome\nDanijela Rostohar\, Coventry University \n10:10 – 10:30  Bridging Realities: The Impact of Digital Twins on Advanced Manufacturing Systems\nMarcos Kauffman\, Coventry University \n10:30 – 10:50  Machine Learning vs Human – in process understanding   \nJian Qin\, Cranfield University \n10:50 – 11:10  Laser beam shaping with diffractive neural networks\nPaul Buske\, RWTH Aachen \n11:10 – 11:40  Break \n11:40 – 12:00  High Power Laser Welding Systems in the Era of Digital Manufacturing: Trends & Emerging Needs\nPasquale Franciosa\, WMG\, Warwick University \n12:00 – 12:20  Classification of laser welds using in process video and machine learning \nDarren Williams\, TWI; Peter Wilson\,  J4IC\, Lancaster University \n12:20 – 12:40  Process solutions for laser welding of EV components\nPeter Kallage\, Coherent \n12:40 – 13:40  Lunch \n13:40 – 14:00  The Power of AI in Automated Inline Quality Inspection and Provenance Control\nSebelan Danishvar\, Z-Prime \n14:00 – 14:20 AI for Science: Machine Learning for Laser Facilities and Applications\nJeyan Thiyagalingam\, STFC \n14:20 – 14:40  The role of CFD in digital twins for additive manufacturing and laser welding \nMarcin Serdeczny\, Flow Science Inc. \n14:40 – 15:00  Seeing the unseen: Sensors with sophisticated data models enable higher manufacturing quality\nMark Thompson\, Photonics Express \n15:00 – 15:30  Break \n15:30 – 16:30  Tour of AME & Hyperbat \n \nParking\nParking will be reserved in the Unipart/AME car park off Beresford Avenue. The entrance is shown below. \nSATNAV: Use postcode CV6 5JA \nPlease also see the information sheet here – AME-Visitor-Information.docx \nYou will be asked to sign in at Reception. \n \n   \n \n \n \n \n \n \n \n \nAccommodation\nThere are numerous hotels in and around Coventry. \nSee Premier Inns here \nSee other hotels here \n  \n  \nAILU EVENT T&Cs\nSee AILU Event Terms and Conditions here.\n____________________________________\nBy registering for this meeting you agree that you are happy for AILU and Sponsors to contact you after the event
URL:https://www.ailu.org.uk/event/machine-learning-digital-twins/
LOCATION:AME\, Coventry\, Beresford Ave\, Coventry\, CV6 5LZ\, United Kingdom
CATEGORIES:AILU EVENTS
ATTACH;FMTTYPE=image/jpeg:https://www.ailu.org.uk/wp-content/uploads/2023/11/Image-webpage.jpg
ORGANIZER;CN="AILU":MAILTO:events@ailu.org.uk
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