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6 October 2021

Digital Technology in Laser Manufacturing

  • Sector: Laser Processing
  • Location: Cranfield University, Bedfordshire
  • Attendees: All welcome

 

 

Sponsored by:

 

 

INTRODUCTION

Chair: Cliff Jolliffe, Physik Instrumente (PI)

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.

 

PRESENTATIONS

10:00 - 10:10  Cliff Jolliffe (PI - UK )
Welcome & Introduction

10:10 - 10:30  Markus Brieger (TRUMPF) 
Monitoring solutions and data-based services for laser-based manufacturing

10:30 - 10:50  Jens Reiser (Precitec) 
Laser welding solutions based on Industry 4.0

10:50 - 11:20  Krste Pangovski (Vision Intelligence)           
Unlocking the DNA of Assembly Processes Using AI: a Step Towards Zero-defect Manufacturing

11:20 - 11:50  Break

11:50 - 12:10  Chris Wright (Oxford Lasers)
Taking a data-centric approach to micro-machining

12:10 - 12:30  Ben Mills (University of Southampton) 
Modelling and Optimising Femtosecond Laser Machining using Deep Learning

12:30 - 12:50  Branislav Timotijevic (Optotune, Switzerland)
Inline monitoring of laser processes using tunable liquid lenses

12:50 - 14:00  Lunch

14:00 - 14:30  Steve Kidd (PowerPhotonic) 
An all-digital process flow from optics design to optics manufacture

14:30 - 14:50 William Land (Aerotech)
Fundamentals of Achieving High-Throughput in Laser Machines

14:50 - 15:10  Hang Geng (Brunel University)             
Defect Assessment and Cost Modelling in Laser Manufacturing

15:10 - 15:40  Break

15:40 - 16:00  Wojciech Suder  (Cranfield University)
Challenges in implementation of digital control to laser manufacturing

16:00 - 16:20  Nikta Jalayer (PI - USA) 
Precision Motion and Laser Manufacturing

 

REGISTRATION

 

Prices below exclude VAT @ 20%

     AILU MEMBER RATE    NON MEMBER RATE
Delegate    £150.00    £190.00
Exhibitor    £280.00    £360.00

 

IMPORTANT: For those unable to attend due to continued travel restrictions, please see below for online ticket prices:

     AILU MEMBER RATE    NON MEMBER RATE
Online Delegate    £60.00    £90.00

 

RECOMMENDED HOTELS

The Swan Revived Hotel
33 High Street
Newport Pagnell
MK16 8AR

Tel: +44 (0) 1908 610565
E: info@swanrevived.co.uk

Harben House Hotel
Tickford Street
Newport Pagnell
MK16 9EY

Tel: +44 (0) 1908 215600
E: sales@harbenhouse.co.uk

 

VENUE

Cranfield University
Vincent Building

Cranfield
Bedfordshire
MK43 0AL

Directions to Cranfield

 

See car parking for delegates

 

 

 

 

 

 

AILU EVENT T&Cs
See AILU Event Terms and Conditions 
here.
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By registering for this meeting you agree that you are happy for AILU and Sponsors to contact you after the event


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