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Ghent University
PhD Student – Computational Tribology
Ghent University
After decades of uninterrupted growth, Ghent University is one of the leading institutions of higher education and research in the Low Countries with 36,000 students and more than 8,000 staff members.
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JOB DETAILS
Published: 17 days ago
Application deadline: Nov 01
Location: Gent, Belgium
Please mention that you found this job on Academic Positions when applying.
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PhD Student – Computational Tribology

Last application date   Nov 01, 2018 12:00

Department                 TW08 - Department of Electrical Energy, Metals, Mechanical Constructions and Systems

Contract                      Limited duration

Degree                        Master of Science in Mechanical, Physical or Chemical engineering

Occupancy rate          100%

Vacancy Type             Research staff

Job description

Elasto-Hydrodynamic Lubrication (EHL) is a specific lubrication regime which typically occurs in non-conformal contacts, such as ball bearings, roller bearing, gear teeth,.. and is therefore very relevant in many machine applications. EHL is characterized by thin lubricant films (50 nm-1 micron) in which the hydrodynamic pressure can reach values up to GPa range (1-5 GPa), inducing elastic deformation of the opposing contact surfaces. At such high pressures, the lubricant becomes compressible, and behaves in a highly non-Newtonian way by local solidification and shear-thinning.

Accurate computational simulation of EHL (Reynolds, CFD) requires therefore an accurate description of the lubricant’s compressibility and the rheology (i.e. piezo-viscosity and shear thinning) as well as the thermal properties (specific heat, conductivity), wall slip and cavitation. Today, however, mainly empirical constitutive models are applied, which typically involve curve fitting of experimental data, obtained for a particular common lubricant and under specific conditions. Hence, their range of applicability is rarely questioned when applying them to other lubricants, surface materials or operating conditions. Obviously such generalized empiricism does not contribute to the versatility, accuracy and reliability of continuum computational methodologies.

In the past decades Molecular Dynamics (MD) has emerged as a more sophisticated computational approach to study interfacial phenomena and thin film rheology. Such computational approach offers the advantage to obtain an accurate estimate of the lubricant’s thermo-mechanical properties, by direct simulation of the lubricants molecular structure subject to different conditions of pressure, temperature, shear etc..

Your job will consist of developing a Multiscale Modelling framework, in which non-equilibrium Molecular Dynamics is exploited to

1) derive appropriate constitutive relations that can be used in continuum simulation techniques for EHL, and

2) smart automated coupling of EHL solvers, to the MD solver for the atomistic description of local lubricant properties, near-wall effects, molecular layering, mechanochemistry etc.

Profile of the candidate

  • You hold a Master degree in Mechanical, Physical or Chemical engineering.
  • You have a strong motivation for conducting scientific research at a high level.
  • You possess good analytical, and technical skills
  • You are interested in computational mathematics and Advanced Scientific Computing.
  • Experience with programming in C++, Matlab or equivalent is an advantage.
  • You have knowledge and experience with Molecular Dynamics (LAMMPS)
  • Experience with Computational Fluid Dynamics is an asset.
  • You take responsibility for the development of your project in a well-structured, thorough way, and you’re able to solve problems independently. You display creativity in solving problems, generating ideas or finding new ways of working.
  • You have an open personality and willing to contribute to the team and participate in didactic projects.
  • You have excellent communication skills in English, both orally and written. Knowledge of Dutch is certainly an asset.

How to apply

To apply, please complete the application form you find at https://www.ugent.be/ea/eemmecs/en/research/soete/vacancies/applicationform/at_download/file and send it in pdf format to dieter.fauconnier@ugent.be before November 1st 2018. Your application will be taken into consideration on condition that all fields in the application form are completed properly.

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