Dr Chamil Abeykoon

Lecturer

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PhD Students

1. Huixuan Li

Title: Construction of laminated composites having sensor networks made from graphene loaded filaments

The graphene loaded elastomer monofilaments (for strain and piezo-resistive sensors) have applications in areas such as, composites, wearable computing and robotics. Ability to control the elongation of such monofilaments allows them to be designed for the purpose. Additionally creating these sensors as multi-material monofilaments or multi-filaments will allow the construction of sensory elastomeric filaments with high reliability. Such materials are very valuable in introducing distributed low hysteresis strain and piezo-resistive sensors in composite structural members. This project aims to produce and characterise graphene loaded monofilaments and blended multi-filaments in order to create composites with distributed sensors.

(Supervision team: Dr A. Fernando, Dr C. Abeykoon, Dr. W. Mirihanage, Dr. M. N. Karim)

2. Chukwuma Ogbonnaya

Title: Integrated PV - Fuel Cell Generation Methodologies - Design, Development and Optimization for Distributed Power Applications

This study is aimed to carry out a conceptual design and development studies utilizing the state-of-the-art of PV practices and engineering for hydrogen generation from typical hydrocarbons as well as direct conversion, while employing fuel cell converters where and when appropriate for optimum conversion efficiencies. In order achieve this purpose; each component of the hybrid systems will be examined by using thermodynamic entropy based modelling activities. For example as the followings may be investigated;

For fuel cells: Understanding of pressurized operation; Design for pressurized operation; Changing materials and fuels

For PV Systems:State of the art PV systems utilizing current advances in cell technology; Limitations concerning integration and coupling issues vis-a-vis off design conditions; Thermodynamic and thermo-economic optimization  studies; System dynamics and response as a function of load characteristics

(Supervision team: Prof. A. Turan, Dr C. Abeykoon)

3. Charles Okon

Title: The Prediction of Two-Phase Flow in Pipe and Analysis Including Loss of coolant accident (LOCA)

In order for a saturated liquid to be changed to a saturated vapour, energy has to be added in the form of heat. The amount of energy depends on the saturation (or boiling) temperature of the fluid and this in turn depends on the pressure of the liquid. As the pressure increases so does the saturation temperature. When a sub-cooled liquid enters the bottom of a vertical channel heated by the uniform heat flux, however, once the amount of vapour starts to increase, the changes in flow patterns, combined with an increase in the velocities of both the liquid and vapour phases, lead to heat transfer mechanisms. So this research is aimed at developing models that would be used to study two-phase fluid flows in pipe and carry out validation studies vis-a-vis well planned/focussed publicly available experiments in the literature. Main objective will be focused on the study of different flow patterns and their characteristics and flow rate at which each flow regime transition will take place. 

(Supervision team: Prof. A. Turan, Dr C. Abeykoon)

 

  4. Sikander Yasin

(Supervision team: Prof. A. Turan, Dr C. Abeykoon)

5. Keren Li

Title: Implementation of efficient big data analysis techniques to develop intelligent energy networks

 

Data mining is one of the applications of big data analysis. It can play an important role in the development of intelligent energy networks. The data mining will be realised via the use of modern order reduction techniques. The main algorithm will Yesbe based in the TT-decomposition first suggested in 2009. The application of the technique will provide an opportunity for a real-time analysis. This will be achieved via identification of key modes and efficient multiplicative data representation. The key date will be extracted from all data available from measurements. These data will be used in real-time regimes to control smart energy systems.

 (Supervision team: Prof. S. Utyuzhnikov, Dr C. Abeykoon)

6. Boxi You

Title: Automated design of gas turbines for the chemical industry

The electricity and heat are the major drives in the chemical and pharmaceutical industries, and currently gas turbines are widely used throughout these industries as they allow for high power output with a satisfactory overall efficiency at relatively reasonable costs. Mutiobjective optimization should be carried out to consider trader-off between different cost functions such as cost, energy efficiency, flame pulsations and emission. A robust design should be identified via sensitivity analysis. Multiobjective optimization will be realised with the use of the Directed Search Domain algorithm. Also, a set of Pareto optimal solutions will be identified. Then, a decision-making algorithm will be implemented for their ranking. The results of the project can be used in the systems of optimal design.

 (Supervision team: Prof. S. Utyuzhnikov, Dr C. Abeykoon)

 

 

MPhil Students

1. Yu-Che Kao

Title: Modelling of polymer crystallinity during 3D printing

Spatial distribution of crystallinity in polymers can dominate functional, mechanical and physicochemical properties of the polymeric materials. Particularly, when combined with modern 3D printing processes, controlling of crystalline features can be exploited to construct highly functional materials with tailor made properties. Polymer crystallization is slow, especially near the melting temperature, and usually takes place with kinetic controlled mechanisms under thermodynamic conditions far from equilibrium. This project is aimed to develop a model to simulate polymer crystallization process during 3D printing; to analyse the printing parameter – structure relations. 

(Supervision team: Dr A. Fernando, Dr C. Abeykoon, Dr. W. Mirihanage)

 

 2. Yunong Yuan

Title: