Development of a novel material model for machining prediction

   Department of Mechanical Engineering

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  Dr H Ghadbeigi  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

Machining is arguably one of the most complex manufacturing and metal forming operations wherein the material experiences a severe deformation condition at very high temperature. Predictions of the quality of the produced parts and optimisation of the operation parameters are key factors to ensure high quality of safety critical components. Understanding and prediction of material behaviour is playing an important role in this context. This project aims to better understand and develop and optimise a novel material model for machining of the metallic parts for automotive and aerospace industry. Advanced experimental methods will be used to determine the material properties and associated microstructural morphology to be able to develop the required model and implement it for the prediction of chip formation and service life of the components.

Previous experience / requirements:  Experimental methods, Finite element modelling, computer programming, Manufacturing

Engineering (12)

Funding Notes

Please note that this project is only for self funded students.

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