3D visualization of dynamic drive test data
Abstract: The modular product system of Scania CV AB provides the possibility of complete truck customization while using a limited number of interchangeable components. The high product modularity sets high demands on quality assurance of the delivered products. Geometry and layout assurance is a key factor of the quality control. Dynamic geometry assurance of trucks is accomplished by performing physical tests while measuring the movement of certain components. The results are then analysed in order to ensure that unwanted collisions does not occur during the operation of the vehicle. Test results are presented in test reports containing 2D plots of delta movements that occur at certain measurement points. Test reports are considered difficult to interpret and design mistakes have occurred due to misinterpretations. The purpose of the master thesis was to develop a 3D visualization method that can complement test reports and facilitate the understanding of test results. In this master thesis, several visualization methods were identified. The identified visualization methods were evaluated according to requirements derived from interviews held at Scania. One method was then chosen for further development. The thesis project focused on cabin movement visualization. However, the aim of the development was to create a general method that is applicable for all main components, e.g. chassis and engine. The result of the development was a visualization method including a MATLAB script and a CATIA macro. The MATLAB script filters raw test data for extreme positions of the cabin. These positions are then recalculated as transformation matrices and exported as an Excel sheet. The Excel sheet is further imported by the CATIA macro, which instantiates and positions user selected components into the previously found extreme position. The developed visualization method was then verified and confirmed of providing reliable results. Furthermore, benefits and drawbacks of the visualization method are discussed. The developed visualization method is then evaluated by the previous set requirements, showing that these are fulfilled. Even though more verification of the visualization method is suggested, it is concluded that the method can and should be implemented into the current workflow.
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