Postdoc Predictive modelling of short-fibre reinforced polymers (V35.2796)

Postdoc Predictive modelling of short-fibre reinforced polymers

The Eindhoven University of Technology (TU/e) has the following vacancy: Postdoc "Predictive modelling of short-­fibre reinforced polymers in the Polymer Technology group, Department of Mechanical Engineering. The  postdoc position is available in the Polymer Technology group, and will be  supervised by Prof. Leon Govaert and Dr. Hans van Dommelen.
Position
(Post-doctoral) Researcher
Departments
Department of Mechanical Engineering
FTE
1,0
Date off
30/04/2017
Reference number
V35.2796

Job description

Section description

The  research  activities  of  the  Polymer Technology group concentrate on  the  fundamental  understanding  of  various macroscopic problems in the processing and use of polymer components and products. An important challenge is the establishment of a direct link from processing conditions to mechanical performance; a task that requires the combination of a number of vastly different disciplines, including elements of computational rheology,  solid-­state  rheology,  and  polymer  physics  and  mechanics.  The  group  has  a  unique  research  infrastructure, both from an experimental and computational perspective. The Mechanical Testing Lab offers a large capacity of testing equipment for short-­term (impact) and long-­term testing (static and cyclic fatigue).

Aim of the PD project, tasks 
Due to the influence of fibre orientation, short-­fibre thermoplastic composites typically display a pronounced anisotropy in their mechanical response. An additional complexity is that variations in processing conditions over  the  mould  give  rise  to  spatial variation  of  flow-­]induced  fibre  orientation  and  the  related  mechanical  response. Current state of the art of mechanical analysis of such systems is a micro-­macro translation based on mean-­field  approaches  that  are  unable  to  deal  with  the  pronounced  plastic  strain  localizations  that  are  induced by the fibres. Additionally, the constitutive models applied are generally oversimplified and unable to capture neither the actual stress-­]strain response of the thermoplastic resin nor that of the composite.
We recently developed a constitutive relation that realistically captures the anisotropic mechanical response of  short-­fiber reinforced  systems,  including  time-­dependent,  plasticity-­controlled  failure.  The  PD  will  implement this model, and apply it to predict the mechanical performance of demonstrator products, which will  be  chosen  in  collaboration  with  our  industrial  partners.  The  mechanical  characterization  and  validation  experiments will be performed within a parallel PhD project. Efforts to develop additional tools that allow to determine  the  input  parameters  directly  from  information  on  fibre-orientation  obtained  from  process  simulation software (e.g. Moldflow) is currently under development within our group.  In combination with the implementation planned here, a powerful design tool will be obtained.

 

Job requirements

Talented, enthusiastic candidates with excellent analytical and communication skills holding a PhD-­degree in computational mechanics or constitutive modelling of polymers.

Conditions of employment

  • A challenging job at a dynamic and ambitious University and in an enthusiastic team.
  • An appointment (1 fte) for two years, starting date: as soon as possible.
  • Gross monthly salaries are in accordance with the Collective Labour Agreement of the Dutch Universities (CAO NU), with an indicative starting salary of € 3068 per month.
  • An attractive package of fringe benefits, including excellent work facilities, end of the year allowance and sport facilities.

Information and application

More information about this PD position can be obtained from Prof. Leon Govaert (l.e.govaert@tue.nl) or Dr. Hans van Dommelen (j.a.w.v.dommelen@tue.nl).

Application
Application documents (in PDF format) must contain: letter of motivation, detailed curriculum vitae including photograph, transcript of PhD degree, and contact information of two potential referees. Please use the button "apply now" on this page.

Deadline
As soon as possible. The vacancy is open until a suitable candidate has been found.