PhD Research Project: Model of finite elements for the machining of composite materials
5 days left
- Full Time
CFRP (carbon fibre) composite materials are used in the manufacture of structural components where the required mechanical properties are very high. They are basically a combination of two components with very different behaviour characteristics before machining: a matrix (epoxy resin generally, which acts as a binder) and a carbon fibre (which gives resistance to the material). The behaviour so differentiated of both materials involves the use of dedicated tools and special cutting conditions: High cutting speed and low forward force.
PCD tool are usually used.
The usual problems that appear during machining are the short tool lifetime, the thermal and mechanical degradation of the machined material, the formation of burrs, the roughness, the geometric tolerances, etc.
In order to optimize its machining, one of the strategies to be followed, combined with experimental analyses, is the fine-tuning of numerical models (Finite Elements), which allows analysing the influence of a non-homogeneous material in the areas previously mentioned.
- To develop a model that is able to define, qualitatively and quantitatively, the forces generated, temperatures, damage of the tool and the machined workpiece in machining.
- Development of the basic knowledge of the machining of composite materials.
- Development of a device for studying the process of machining of composite materials that allows the monitoring of cutting forces, temperatures ...
- Validate the results with experimental or empirical tests.
Thesis in collaboration with Université de Mons (Belgium)
This thesis will be developed in English (documentation, presentation).
Organization: Mondragon Unibertsitatea. Faculty of Engineering.
Research area: High Performance Machining.
Researcher profile: First Stage Researcher (R1).
Type of contract: Research contract - Temporary.
Job status: Full time.
Location: Arrasate-Mondragon, Gipuzkoa, SPAIN
PhD supervisor: Pedro J. Arrazola, MONDRAGON Unibertsitatea (firstname.lastname@example.org)
PhD co-supervisor: Francois Ducobu, Université de Mons
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