Magnetic properties of defective graphene

In this thesis, the influence of the functionalization of graphene and graphite on their magnetic properties was investigated. The functionalization was performed by covalent attaching of a phenyl groups with three different radicals (4-bromoaniline, 4-chloroaniline and 4-nitroaniline). Magnetic properties were measured by SQUID magnetometer. Both pristine graphite and graphene showed strong diamagnetic behavior. For good quality graphite, diamagnetism was found to be temperature-dependent. All samples demonstrated noticeable paramagnetic contribution below 50 K. According to fitting experimental results with Brillouin function and Curie law, it was shown that paramagnetism is provided by small clusters of spins (superparamagnetic behavior). Moreover, the clusters size and spin concentrations were calculated. For the samples functionalized with nitroaniline the antiferromagnetic transition around 120 K was observed. To explain this behavior, a simple model was proposed. Additional analysis of the graphene quality, structure and composition of the samples was carried out by HRTEM, EDS mapping, Raman spectroscopy and X-ray diffraction techniques.

Implementation of Quantitative Reaction-based Model Refinement

Building a computational model for complex biological systems is an iterative process. It starts from an abstraction of the process and then incorporates more details regarding the specific biochemical reactions which results in the change of the model fit. Meanwhile, the model’s numerical properties such as its numerical fit and validation should be preserved. However, refitting the model after each refinement iteration is computationally expensive resource-wise. There is an alternative approach which ensures the model fit preservation without the need to refit the model after each refinement iteration. And this approach is known as quantitative model refinement. The aim of this thesis is to develop and implement a tool called ModelRef which does the quantitative model refinement automatically. It is both implemented as a stand-alone Java application and as one of Anduril framework components. ModelRef performs data refinement of a model and generates the results in two different well known formats (SBML and CPS formats). The development of this tool successfully reduces the time and resource needed and the errors generated as well by traditional reiteration of the whole model to perform the fitting procedure.

Heat-transfer improvements in an axial-flux permanent-magnet synchronous machine

Axial-flux machines tend to have cooling difficulties since it is difficult to arrange continuous heat path between the stator stack and the frame. One important reason for this is that no shrink fitting of the stator is possible in an axial-flux machine. Using of liquid-cooled end shields does not alone solve this issue. Cooling of the rotor and the end windings may also be difficult at least in case of two-stator-single-rotor construction where air circulation in the rotor and in the end-winding areas may be difficult to arrange. If the rotor has significant losses air circulation via the rotor and behind the stator yokes should be arranged which, again, weakens the stator cooling. In this paper we study a novel way of using copper bars as extra heat transfer paths between the stator teeth and liquid cooling pools in the end shields. After this the end windings still suffer of low thermal conductivity and means for improving this by high-heat-conductance material was also studied. The design principle of each cooling system is presented in details. Thermal models based on Computational Fluid Dynamics (CFD) are used to analyse the temperature distribution in the machine. Measurement results are provided from different versions of the machine. The results show that significant improvements in the cooling can be gained by these steps.