Design And Implementation Of Fuel Cell Water Management Aided Software Based On CT Visualization Technology

As a new type of power generation device,fuel cell has many advantages,such as pollution-free,rich raw materials and high energy conversion,so it has very high research value.The transmission of water and gas inside the fuel cell has a very critical impact on its performance and stability.The proton conducting power of the proton exchange membrane is proportional to the water content.But if the water content is too high,it will block the flow channel,so that hydrogen and oxygen can not even exist in the flow channel.This will lead to the decrease of the fuel cell efficiency and the decline of battery performance.So water management of the fuel cell is very important and it is necessary to observe the change of water and gas in the channel of the fuel cell.However,the fuel cell is a sealed,opaque device that can not make a direct observation of the changes in the inner flow without destroying it.This thesis chooses X-ray to scan fuel cells in different working processes to get a large number of two-dimensional tomography images and uses these tomographic images as data sets.This thesis designs and implements a fuel cell CT visualization system on the Visual Studio 2013 platform using the MFC and VTK framework with the C++ programming language.Firstly,the principle of volume rendering is researched through the introduction of optical model,data classification,data assignment,resampling and image synthesis.After that,the functional requirements of the fuel cell CT visualization system are analyzed in detail.Then describe the whole architecture of the system,divide the functional modules of the system and design six important functions,such as space variation operation,optical transmission function setting,algorithm of volume rendering,the extraction of flow channel,four-dimensional process visualization and the graphically display of the material content.This thesis proposes the method of extracting the fuel cell flow channel,the images are processed by mean filter in order to reduce noise and binaryzation processing,then canny operator is used to detect the edge of the image.After that,the threshold range of the best extraction effect is obtained by the experiment.Last,the extraction of the channel section is realized by calculating the area of each contour.In the aspect of volume rendering,the three-dimensional imaging results of fuel cell under the ray casting algorithm,the isosurface algorithm,the 2D texture mapping algorithm and the maximum intensity projection algorithm are realized,especially the ray casting algorithm.The four-dimensional process visualization is realized by using the observer/command pattern in VTK.The material content charts,such as pie chart and fold line chart,are displayed using the open source tool — CChart.Next,each operation interfaces in the 3D imaging menu and 4D imaging menu are described in tum.Then the experimental process of CT scanning,the test environment and the time comparison of the main functions in the software are explained.Finally,the thesis makes a summing-up,and outlines the deficiencies of the existing system and improving directions.This system can reconstruct the three-dimensional shape of the fuel cell and its internal flow channel,and the working process of the fuel cell can be simulated.Besides,the proportion of the material components can also be displayed.Researchers can observe the changes in the internal flow channel of the fuel cell in a clear and multi angle method.So that it can help researchers find problems in the fuel cell,and researchers can propose a design plan to improve the fuel cell.