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A holographic method for optimisation of laser-based production processes

  • Krste Pangovski

    Krste Pangovski obtained his BSc in 2004 and MSc in 2005 in Physics. Following his degrees, he moved into Business Technology Research and Development, operating within the areas of Strategy, Business Development and Design. In 2009, Krste returned to pursue his academic interests by undertaking an MRes in Photonic Systems Development concentrating on Industrial Laser design. After completing his doctoral work ‘Nanosecond control of material transport in laser ablation’ at the University of Cambridge, he joined the Centre for Industrial Photonics as a research associate, concentrating on diagnostics of laser-material interactions.

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    , Martin Sparkes

    Martin Sparkes obtained his MEng in Mechanical Engineering from The University of Liverpool in 1991. In 2003, he moved to Cambridge to be part of the Centre for Industrial Photonics. Martin is a Senior Research Associate within the Cambridge University Engineering Department funded on the EPSRC Centre for Innovative Manufacturing in Ultra Precision project.

    and William O’Neill

    William O’Neill is a Professor of Laser Engineering within the Cambridge University Engineering Department and Director of the Centre of Industrial Photonics. He has written over 170 research publications and scientific papers on the subject of laser-matter interactions, optical engineering, laser-based manufacturing technologies and micro/nano fabrication techniques. He is a member of the international advisory panel of the National Laser Centre of South Africa, a Director of the Laser Institute of America, and advises industry on a number of laser-based manufacturing technologies.

Published/Copyright: April 18, 2016
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Abstract

A digital holographic system is used to image the plume dynamics of a train of picosecond laser pulses interacting with titanium, aluminium, copper and brass. The recorded process dynamics are used to propose two optimisation strategies: first, by observing the time at which the plume fully dissipates and, second, through calculation of the minimum beam displacement required to maximise energy delivery to the sample by avoiding the plume. The proposed approach could further be applied in real industrial process design, allowing laser users to formulate a processing strategy based on process dynamics rather than lengthy post-process evaluation of a sample.

About the authors

Krste Pangovski

Krste Pangovski obtained his BSc in 2004 and MSc in 2005 in Physics. Following his degrees, he moved into Business Technology Research and Development, operating within the areas of Strategy, Business Development and Design. In 2009, Krste returned to pursue his academic interests by undertaking an MRes in Photonic Systems Development concentrating on Industrial Laser design. After completing his doctoral work ‘Nanosecond control of material transport in laser ablation’ at the University of Cambridge, he joined the Centre for Industrial Photonics as a research associate, concentrating on diagnostics of laser-material interactions.

Martin Sparkes

Martin Sparkes obtained his MEng in Mechanical Engineering from The University of Liverpool in 1991. In 2003, he moved to Cambridge to be part of the Centre for Industrial Photonics. Martin is a Senior Research Associate within the Cambridge University Engineering Department funded on the EPSRC Centre for Innovative Manufacturing in Ultra Precision project.

William O’Neill

William O’Neill is a Professor of Laser Engineering within the Cambridge University Engineering Department and Director of the Centre of Industrial Photonics. He has written over 170 research publications and scientific papers on the subject of laser-matter interactions, optical engineering, laser-based manufacturing technologies and micro/nano fabrication techniques. He is a member of the international advisory panel of the National Laser Centre of South Africa, a Director of the Laser Institute of America, and advises industry on a number of laser-based manufacturing technologies.

Acknowledgments

This work was carried out under EPSRC grant number EP/K030884/1, as part of the EPSRC Centre for Innovative Manufacturing in Laser-based Production Processes. The authors would like to extend their gratitude to their colleagues at Applied Laser Engineering Ltd, UK, for their kind support of this work.

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Received: 2015-12-1
Accepted: 2016-3-8
Published Online: 2016-4-18
Published in Print: 2016-4-1

©2016 THOSS Media & De Gruyter

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