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LURPA > Historique > Équipe Géo3D

Soumiya BENDJEBLA





PhD Student at ENS Paris-Saclay




PhD Thesis

Geometric Processing and Shape Mining for Recognition of Complex Machining Features in Aeronautics

Supervisors

Keywords

Machining Feature, Complex Machining Feature, Shape Recognition, STEP NC, Reverse Engineering, Shape Mining, Digital Chain, Similarity Assessment , Machining Process Reuse.

Abstract

The PhD work will address complex machining features recognition and similarities measure to reuse the machining process knowledge for complex parts in aeronautics. The approach will be feature-based. First, we will define a new classification of machining features in the context of parts in aeronautics. This classification will consider shape data/information and other relevant information such as PMI or NC machining. A new approach that combines reverse engineering techniques, geometric processing and classical graph-based feature recognition will be investigated. Then, for each class of features we will define a macro process plan that could be refined and would serve as the basis for shape comparison and retrieval. Data mining and deep learning techniques will be investigated.



Contact

Adress
LURPA, ENS Cachan
61 avenue du Président Wilson
94235 CACHAN Cedex
Phone
+33 (0)1 47 40 27 62
E-mail

    Projects

    • LUCID