Dr Llion Marc Evans holds an EPSRC Manufacturing Research Fellowship (2018-2023) at the Zienkiewicz Centre for Computational Engineering, College of Engineering, Swansea University. His main research interests are image-based modelling using the finite element method (IBFEM) and its application in high-value manufacturing (HVM).

Dr Evans completed his PhD at the School of Materials, University of Manchester in 2013. During which time he was part of the ‘Fusion Doctoral Training Network’ and awarded a CASE studentship by Culham Centre for Fusion Energy (CCFE). Since 2009 Dr Evans has worked on developing techniques for ‘Image-Based Finite Element Method’, a process which converts three-dimensional data (e.g. X-ray tomography) into high resolution simulations thus capturing features such as manufacturing defects. A major part of this work has been to adapt the ParaFEM simulation software for his work. This code is capable of handling FE meshes with hundreds of millions of elements by running over thousands of cores on supercomputers.

After his PhD Dr Evans worked at the UK Atomic Energy Authority (UKAEA) applying the IBFEM technique to investigate the manufacturing process for high heat flux components being designed for DEMO, the first demonstrational fusion power plant. He also used his background in X-ray tomography to contribute to the FP7 AMAZE project in additive manufacturing. He held the CCFE Fellowship (2013-2015), followed by a H2020 EUROfusion Researcher Grant (2015-2017).

Through the EPSRC Manufacturing Research Fellowship his work focusses on industrial application of IBFEM for Virtual Qualification. This research is in collaboration with Airbus Defence & Space, Diamond Light Source, Synopsys, TWI, UKAEA and University of Manchester.

Areas of Expertise

  • Manufacturing
  • Non-destructive testing
  • Image-based modelling
  • X-ray tomography
  • Finite element analysis
  • Thermal characterisation

Publications

  1. Micieli, D., Minniti, T., Evans, L., Gorini, G. Accelerating Neutron Tomography experiments through Artificial Neural Network based reconstruction Scientific Reports 9 1
  2. Evans, L., Margetts, L., Lee, P., Butler, C., Surrey, E., Evans, L. Image based in silico characterisation of the effective thermal properties of a graphite foam Carbon 143 542 558
  3. Evans, L., Minniti, T., Fursdon, M., Gorley, M., Barrett, T., Domptail, F., Surrey, E., Kockelmann, W., Müller, A., Escourbiac, F., Durocher, A., Evans, L. Comparison of X-ray and neutron tomographic imaging to qualify manufacturing of a fusion divertor tungsten monoblock Fusion Engineering and Design 134 97 108
  4. Fursdon, M., Barrett, T., Domptail, F., Evans, L., Luzginova, N., Greuner, N., You, J., Li, M., Richou, M., Gallay, F., Visca, E. The development and testing of the thermal break divertor monoblock target design delivering 20 MW m−2 heat load capability Physica Scripta T170 014042
  5. Morris, A., Evans, L., Harrison, J., Lipschultz, B., McIntosh, S., Surrey, E., Waldon, C. Approaches for the Qualification of Exhaust Solutions for DEMO-class Devices 26th IAEA Fusion Energy Conference

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Teaching

  • EG-M07 Optimisation

    This module provides an introduction to some important techniques of optimisation that may be used across a broad range of engineering disciplines. The focus is on understanding the methods through hand calculation rather than the use of particular software packages. Numerical examples are employed to illustrate concepts and potential applications.

Supervision

  • Using machine learning to maximise impact of fusion energy experimental facility virtual twin (current)

    PhD
    Other supervisor: Prof Perumal Nithiarasu
    Other supervisor: Dr Llion Evans
  • Untitled (current)

    PhD
    Other supervisor: Prof Nicholas Lavery
    Other supervisor: Dr Llion Evans

Academic History

Date Qualification Location
2013 PhD: Thermal Modelling of Composite Materials for Fusion Apps School of Materials, University of Manchester
2007 MSc: Advanced Computational Methods for Aeronautics Department of Aeronautics, Imperial College London
2005 BSc: Physics University of Wales, Aberystwyth

Career History

Start Date End Date Position Held Location
2013 2018 Research Fellow United Kingdom Atomic Energy Authority
2018 Present EPSRC Manufacturing Research Fellow Swansea University

Invited Presentations, Lectures and Conferences

Date Description
2018 3rd Advances in X-ray Imaging, Harwell, UK
2018 UK Neutron and Muon Science and User Meeting, Warwick, UK
2017 Plenary, High Performance Computing & Big Data, London, UK
2016 9th International Youth Nuclear Congress, Hangzhou, China
2015 10th International Conference of Multiphysics, London, UK

Awards And Prizes

Date Description
2018 PI: EPSRC Manufacturing Research Fellowship (£1.2M 2018-2023)
2015 PI: EUROfusion Consortium Research Grant (€170k of H2020 funding 2015-2017)
2017 PI: Neutron tomography at IMAT, ISIS, RAL, UK (£20k, beamtime in-kind contribution)
2016 Participant: Sir Henry Royce Institute for Advanced Materials (£675k, UKAEA thermo-physical lab)
2013 PI: Culham Centre for Fusion Energy Research Fellowship (£150k 2013-2015)
2014 PI: High Energy X-ray Tomography at Nikon Metrology (£10k in-kind contribution)
2016 Co-I: DECI-12 (Tier 1 access) PRACE FP7 (7425kAU ~ £40k for fusionFEM project)
2011 Co-I: Manchester Engineering & Physical Sciences Fund (£10k for developing ParaFEM)
2012 Participant: HECToR Class 1a Resource Allocation (8371kAU ~ £45k, for PhD project)
2010 iCASE PhD studentship: (£69k EPSRC & £23k CCFE)

Research

Dr Evans's recent and ongoing projects include:

  • Industrial applications of image-based modelling for component qualification (UKAEA, Airbus, TWI, Synopsys, Diamond Light Source)

  • Qualification of braze joining dissimilar metals with image-based modelling (CCFE, IPP, STFC)

  • Predicting effective macroscopic properties from microstructure of ceramic foam (UKAEA, Synopsys)

  • Microscale characterisation with X-ray tomography of refractory metal parts additively manufactured (UKAEA, AMAZE)

  • Microscale characterisation of plasma surface erosion with laser profiling (CCFE)

  • Analysis of thermal fatigue damage to JET ITER-like wall with X-ray CT (CCFE)

  • Massively parallel finite element analysis for microscale image-based modelling

Llion Evans Research Gif 1Llion Evans Research Gif 2