£180 – £432

Digital Technology in Laser Manufacturing

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£180 – £432

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Cranfield University

Vincent Building

Cranfield

MK43 0AL

United Kingdom

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Event description
Experts from industry and academia will share the latest technology and applied research in this field.

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IMPORTANT: For those unable to attend due to travel restrictions, please contact AILU for remote access at a reduced registration fee.

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Digital 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.

This 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 presentation.

Chair: Cliff Jolliffe, Physik Instrumente (PI)

Presenters (to date)

Cliff Jolliffe (PI - UK) Welcome and Introduction

Florian Kiefer (TRUMPF) – Monitoring solutions and data-based services for laser-based manufacturing

Jens Reiser (Precitec) – Laser welding solutions based on Industry 4.0

Krste Pangovski (Vision Intelligence)– Unlocking the DNA of Assembly Processes Using AI: a Step Towards Zero-defect Manufacturing

Hang Geng (Brunel University) - Defect Assessment and Cost Modelling in Laser Manufacturing

Ben Mills (University of Southampton) - Modelling and Optimising Femtosecond Laser Machining using Deep Learning

Nikta Jalayer(PI - USA) - Precision Motion and Laser Manufacturing

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Date and time

Location

Cranfield University

Vincent Building

Cranfield

MK43 0AL

United Kingdom

View Map

Refund policy

Contact the organiser to request a refund.

Eventbrite's fee is nonrefundable.

Organiser Association of Industrial Laser Users

Organiser of Digital Technology in Laser Manufacturing

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