DEADLINE: 1st May 2021
Description
- 36 months doctoral funding (October 2021 to September 2024)
- Keywords
Surfacing, MQL, Numerical simulation, Microstructure, Thermomechanic, Surface Integrity
- Profile and skills required
Having a completed training in
mechanic and / or materials, the person sought will have a pronounced
passion for shaping processes, in particular for machining. With strong
modeling skills, the requested person will have strong abilities on
structural analysis and numerical simulation (Abaqus and Python for
example). Managing computational or multiphysics fluid mechanics
software would be appreciated (StarCCM +).
The candidate must demonstrate the
ability to work on their own initiative, independently and strong
analytical and summurized skills, as well as have communication skills
in the English language.
- Project description
Forming by removing material,
encountered in surfacing for example, occurs extreme thermal and
mechanical behavior. All the mechanical energy used to create the chip
is converted into thermal energy due to friction and plastic
deformation. The heat flow dissipates in the chip (65-75%), the tool
(5-10%) and the material (5-25%). Heat flow and plastic deformation have
a significant impact on tool life, but also on the surface integrity of
the material and its fatigue strength.
Recent studies have been carried out in order to develop tools with
inlet canalizations, offering optimal micro-spraying according to
different machining configurations. Machining assistance, in particular
Micro Quantity Lubrication (MQL), provides a real benefit in the tool
life compared to emulsion lubrication (approximately x3) and better
surface integrity. The residual stresses measured in the material
machined by MQL exhibit higher compressive stresses than in the material
machined by emulsion. The observation of these stresses gives a
positive perspective on the material characteristics and their fatigue
strength, when they are machined under MQL assistance.
The objective of this thesis is to study the impact of cutting
conditions and machining assistance on the surface integrity of the
machined material.
Previous experimental studies enable to be measured various
parameters resulting from cutting such as temperature, cutting forces
and parameters related to the surface integrity of the machined material
such as roughness, hardness and residual stresses.
A numerical part will complete the experimental expertise carried
out. Multiphysics modeling and numerical simulation would be highlighted
by the use of finite element and finite volume calculation software in
co-simulation in order to study the thermal and mechanical influence of
the material removal process on the state of stresses and more generally
the surface integrity which plays an important role in the durability
of the material. A macro mechanical model of the material taking into
account its microstructure can be developed, based on surface integrity
and thus be able to optimize cutting conditions and / or machining
assistance.
- References
[1] A. Ka, A. Duchosal, A. Morandeau, R. Leroy, Influence of the
both rake and flank faces metal working fluid (MWF) strategies on
machinability of Ti6Al4V alloy, Modern Machinery Science Journal,
Article de congrès HSM 2019, pp 3114-3121, 2019, DOI:
10.17973/MMSJ.2019_11_2019059
[2] S. Werda, A. Duchosal, G. Le Quilliec, A. Morandeau, R. Leroy,
Effect of minimum quantity lubrication strategies on tribological study
of simulated machining operation, Mechanics and Industry, Volume 20,
n°6, 2019, doi.org/10.1051/meca/2019057.
[3] S. Werda, A. Duchosal, G Le Quilliec, A Morandeau, R. Leroy,
Minimum Quantity Lubrication advantages when applied to flank face in
milling mold steel X100CrMoV5, International Journal of Advance
Manufacturing Technologies, Volume 92, Issue 5–8, pp 2391–2399, 2017 DOI
10.1007/s00170-017-0317-y
[4] A. Duchosal, S. Werda , R. Serra, C. Courbon, R. Leroy,
Experimental method to analyze the oil mist impingement over an insert
used in MQL milling process, Measurement, Vol. 86, pp 283-292, 2016,
DOI: 2016, 10.1016/j.measurement.2016.03.010.
[5] A. Duchosal, R. Serra, R. Leroy, Numerical steady state
prediction of spitting effect for different internal canalization
geometries used in MQL machining strategy, Journal of Manufacturing
Processes, Vol. 20, pp 149–161, 2015. DOI:10.1016/j.jmapro.2015.08.008.
To apply, click here
Disclaimer:
The responsibility for the funding offers published on this
website, including the funding description, lies entirely with the
publishing institutions. The application is handled uniquely by the
employer, who is also fully responsible for the recruitment and
selection processes.