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DTSTART;TZID=Europe/London:20211006T090000
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DTSTAMP:20260518T222850
CREATED:20210913T150139Z
LAST-MODIFIED:20220113T163300Z
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SUMMARY:Digital Technology in Laser Manufacturing
DESCRIPTION:Sponsored by\n \n\n  \n  \nChair: Cliff Jolliffe\, Physik Instrumente (PI) \n  \nDigital Manufacturing promises a higher degree of automation and repeatable quality\, continually striving for improvements and to eliminate defects. Much talked-about Artificial Intelligence (AI) and Machine Learning (ML) promise to transform the world of manufacturing and help to fill the skills gap which has opened up in the past decade. As well as techniques to improve throughput\, consistency and quality\, the rise of advanced modelling allows processes to be proven virtually before committing to the application of hardware. Smart factories and the Internet of Things are applications of Industry 4.0 (the fourth industrial revolution)\, and a post-pandemic world will no doubt wish to invest in increased automation and building resilience to guard against future vulnerabilities in the supply chain and resources required to manufacture tomorrow’s products. \nThis workshop is suited to anyone seeking to build knowledge or add to their network\, by meeting and hearing experts in the field of Digital Manufacturing with lasers. The event is scheduled to be a live event\, with hybrid access options for remote presentations. \n  \nPresenters \n10:00 – 10:10  Cliff Jolliffe (PI – UK )\nWelcome & Introduction \n10:10 – 10:30  Markus Brieger (TRUMPF) \nMonitoring solutions and data-based services for laser-based manufacturing \n10:30 – 10:50  Jens Reiser (Precitec) \nLaser welding solutions based on Industry 4.0 \n10:50 – 11:20  Krste Pangovski (Vision Intelligence) \nUnlocking the DNA of Assembly Processes Using AI: a Step Towards Zero-defect Manufacturing \n11:20 – 11:50  Break \n11:50 – 12:10  Chris Wright (Oxford Lasers)\nTaking a data-centric approach to micro-machining \n12:10 – 12:30  Ben Mills (University of Southampton)\nModelling and Optimising Femtosecond Laser Machining using Deep Learning \n12:30 – 12:50  Branislav Timotijevic (Optotune\, Switzerland)\nInline monitoring of laser processes using tunable liquid lenses \n12:50 – 14:00  Lunch \n14:00 – 14:30  Steve Kidd (PowerPhotonic) \nAn all-digital process flow from optics design to optics manufacture \n14:30 – 14:50 William Land (Aerotech)\nFundamentals of Achieving High-Throughput in Laser Machines \n14:50 – 15:10  Hang Geng (Brunel University)\nDefect Assessment and Cost Modelling in Laser Manufacturing \n15:10 – 15:40  Break \n15:40 – 16:00  Wojciech Suder  (Cranfield University)\nChallenges in implementation of digital control to laser manufacturing \n16:00 – 16:20  Nikta Jalayer (PI – USA) \nPrecision Motion and Laser Manufacturing \n  \nRegistration\nPurchase tickets below. \nBy registering for this webinar you agree that you are happy for AILU and Event Sponsor to contact you after the event
URL:https://ailu.publishingbureau.dev/event/digital-technology-in-laser-manufacturing/
LOCATION:Cranfield University\, College Rd\, Wharley End\, Bedford\, Bedfordshire\, MK43 0AL
CATEGORIES:AILU EVENTS
ATTACH;FMTTYPE=image/jpeg:https://ailu.publishingbureau.dev/wp-content/uploads/2021/09/Digital-workshop-Oct2021.jpg
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