Pascale BALLAND

 

Pascale BALLAND

University Professor

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section 60 - Mechanics, mechanical engineering, civil engineering

 


Thesis supervision - in progress


Doctoral student: Uzoma Samuel NWIGWE
Thesis: Study of long crack propagation in fatigue: Experimental and discrete dislocation dynamics approach


Doctoral student: Hai Anh PHUNG
Thesis: Experimental and numerical study of the development of deformation heterogeneities within metallic materials. Application to a bimaterial ribbon.


PhD student: Wilfried LIEGARD
Thesis: Towards a better prediction of the bending of metal parts / Vers une meilleure prédiction du pliage de pièces métalliques


Doctoral student: Daouda NIKIEMA
Thesis: Towards modeling structures in 3D printing of long-fiber-reinforced composites.


Doctoral student: Fatoumata Mbissine DIOUF
Thesis: Towards a better understanding of the thermomechanical behavior of Dual Phase steels

Thesis management - past theses


Doctoral student: Jean COLLOMB
Thesis: Optimization of the thermomechanical sizing process of Efficient Thermal Transfer Autonomous Mold for rapid processing of continuous-reinforced composite materials.
Date : 06 Dec 2018


Doctoral student: Nhat-Khoa DO
Thesis: Contribution to the control of EDM machining
Date : 21 Sep 2020


PhD student: Laurent BIZET
Thesis: Characterization and modeling of the thermomechanical behavior of metallic materials: towards the consideration of intrinsic micro-structural heterogeneities.
Date : 07 Jan 2016


Doctoral student: Nesrine KSIKSI
Thesis: Advanced material characterization for localization prediction on thin sheet metal.
Date : Dec 09, 2016


Doctoral student: Leonida GRANON
Thesis: From the traditional manufacturing SME/SMI to the mechatronic company: key steps and proposal of a mechatronic reference frame.
Date : Oct 10, 2017

Offices


Office mdm210
7, Chemin de Bellevue
House of Mechatronics

74944 Annecy-le-Vieux

Projects


Project: MAHLE

Project: Contribution to the mastery of electro-erosion machining


Project: Towards better prediction of metal part bending