Méthodologies de conception préliminaire de machines-outils : application à l'usinage des pièces aéronautiques en titane

Abstract : Productivity and quality requirements in the aerospace industry require optimized machine tools in terms of precision, kinematics and dynamics. The objective of this thesis is to propose new methodologies for the design of highly stiffened machine tools for machining titanium aeronautical parts. First, the issue of choosing the most appropriate structural configuration for the machining process is handled by proposing a synthesis and selection method based on qualitative criteria. The performance analysis of the different structural configurations relative to the adopted qualitative criteria makes it possible to classify them. The results obtained have led to a limited set of structural configurations of machine tools suitable for the process of machining titanium aeronautical parts. To complete this method, it is then necessary to develop an approach for quantitative analysis of the structural arrangements corresponding for each structural configuration. In a second step, a new approach for the selection of structural arrangements of machine tools is developed. This approach consists firstly in developing reduced models of considered machine tool structures. Then, we implement a parametric optimization in order to minimize the total mass of the mechanical structures of these machines while under the constraint of a target stiffness. This optimization is achieved by coupling MATLAB and ANSYS APDL. Finally, the classification of structural arrangements according to their performance highlights those most appropriate for the process of machining titanium aeronautical parts. This work contributes to the evolution of design methodologies for new machining machines.
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Montassar Lajili. Méthodologies de conception préliminaire de machines-outils : application à l'usinage des pièces aéronautiques en titane. Génie mécanique [physics.class-ph]. Université Clermont Auvergne, 2019. Français. ⟨NNT : 2019CLFAC001⟩. ⟨tel-02137440⟩

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