PhD Position – Haptic interfaces based on magneto-rheological fluid multi-physics modeling

Страна: Франция;

Дедлайн: 01.09.2015

Веб-сайт: academicpositions.eu

 

In the field of haptics , the quality of force feedback is a key factor. Usually, these interfaces use DC motors for producing a mechanical sensation according to the movement applied by the user. These actuators, although efficient in many aspects, are limited in terms of density of effort and difficult to control. Using Magneto- Rheological Fluids (MR) is an alternative actuation approach which showed its potential in applications where stiffness simulation (that requires an active torque of the same magnitude as the dissipative torque) is not the main feature.

MR fluids are suspensions of ferromagnetic particles in a carrier liquid (mineral oil or silicon for example). Under the action of a magnetic field, the particles form chains whose tensile strength is proportional to the intensity of the magnetic field. The apparent viscosity of the fluid is changed. This can be used to control the shear stress opposed to the movement and therefore generate braking forces.

Many studies describe the behavior of magneto-rheological fluid independently of any implementation or have studied specific applications of these fluids with modeling and characterization of specific cases. But in a man-machine interaction context all the characteristics of the mechatronic system must be taken into account with a global vision to predict the behavior. Thus we propose to develop a numerical model from the multi- physical behavior (thermal, magnetic, mechanical , … )of the complete mechatronic system to establish a methodology for the design and optimization of MR fluid based interfaces. On the other hand , we will use this multi-physics modeling to explore the new features of actuators based on MR fluids.

The work can be divided into several stages:

– Analysis of existing models for MR fluids-based systems

– Multi-physics modeling of MR fluid and experimental confrontation – simple case

– Modeling a complete mechatronic system

– Establishment of the optimization process and a generic design methodology

– Study of new features

This position is open until it is filled.

Department: Département Intelligence Ambiante et Systèmes Interactifs (LIST)
Laboratory: Laboratoire d’Interfaces Sensorielles & Ambiantes
Start Date: 01-09-2015
ECA Code: SL-DRT-15-0556
Contact: laurent.eck@cea.fr