Mr Carmine Zuccarini
Contact
- Email: k1546465@kingston.ac.uk
- Location: Roehampton Vale
- Faculty: Faculty of Engineering, Computing and the Environment
- Research group/centre: Aerospace Research Group (ARG)
Research project: Modelling and Simulation of Degradation of Ultra High Temperature Ceramics under hyper-sonic flow using predictive analytics.
Abstract
This project aims to establish a solid mathematical model that will describe degradation as a function of time, position and velocity in order to help engineers and designer to find the most appropriate design solutions for features like protection system for space vehicles leading edge.
Combining a numerical approach based upon Partial differential equations (PDE) with touring instability to model flow patterns near the leading edge and predictive analytics to build data sets and finding meaningful correlations will create a completely new approach to model material degradation.
One of the final outcome of the research will be used to build a Software coded in Python that will be used to model external flow around a real leading It is expected that this model built will allow us to design a Thermal Protection System to be used as a Coating for a sharp leading edge of a Space Shuttle.
- Research degree: PhD
- Title of project: Modelling and Simulation of Degradation of Ultra High Temperature Ceramics under hyper-sonic flow using predictive analytics.
- Research supervisor: Dr Doni Daniel
Biography
I am a mature PhD candidate and a multi-lingual consultant with a wealth of experience in customer service, data modelling, software development and business processes and a deep knowledge of mathematics, physics and statistics who is willing to put every effort in the success of a PhD at Kingston University.
I am currently employed as an Agile technical and business consultant in the research and development of a software company that provides solutions for the trade of commodities and I am seeking new opportunity to enhance my knowledge and bring a new pragmatic approach to problem solving.
Areas of research interest
- Space flight and exploration
- Advanced materials
- Advanced mathematical and statistical modelling
- Data analytics and AI for aerospace engineering
- Computational modelling
- Software development for aerospace and mechanical engineering
Qualifications
- PhD General Engineering
- MSc Aerospace Engineering , Kingston University, London, UK
- BEng(Hons) Bachelor of Engineering with Mathematics, Milton Keynes, UK
Funding or awards received
- 1 Year Scholarship for a PhD in Gen.Engineering from the Faculty of SEC at Kingston University