Papers by Author: Hao Wang

Abstract: This paper made the digital model reconstruction of the RB211 high pressure turban blade. First, collected rough points cloud data by using visual measuring equipment. Then, finished pre-processing the point cloud data, took the rational simplification. Finally, a new algorithm was used to reconstructing the 3D digital model. The results proved that this method improved smoothness of the model, and reduced time and cost of modeling and machining.

Abstract: This paper made the point cloud data processing for the aircraft engine’s blade. First, collected rough point cloud data by using visual measuring equipment. Then, noise reduced and smoothed, feature detected the point cloud data, took the reasonable simplification, finished pre-processing the point cloud data. Finally, took the surface fitting for the point cloud data after processed. The result proved that processing the point cloud data reduced modeling and machining time, and improved smoothness of the model.

Abstract: This paper made the 3D model reconstruction of the V2500 turban blade. First, collected rough points cloud data by using visual measuring equipment. Then, smoothed and filtered the point cloud data, took the rational simplification, finished pre-processing the point cloud data. Finally, the grayscale of space-image algorithm was used for fitting the edge of turban blade, and reconstructed the 3D digital model. The results proved that this method improved smoothness of the model, and reduced time and cost of modeling and machining.

Abstract: This paper made the 3D model reconstruction of the J34 turban blade. First, collected rough points cloud data by using visual measuring equipment. Then, smoothed and filtered the point cloud data, took the rational simplification, finished pre-processing the point cloud data. Finally, the Laplacian of Guassian Detection was used for fitting the edge of turban blade, and reconstructed the 3D digital model. The results proved that this method improved smoothness of the model, and reduced time and cost of modeling and machining.

Abstract: This paper made the 3D model reconstruction of the CFM56-5B turban blade. First, collected rough points cloud data by using visual measuring equipment. Then, smoothed and filtered the point cloud data, took the rational simplification, finished pre-processing the point cloud data. Finally, multi-scale genetic algorithm was used for fitting the edge of turban blade, and reconstructed the 3D digital model. The results proved that this method improved smoothness of the model, and reduced time and cost of modeling and machining.

Abstract: By using forward modeling and backward modeling synthetically, a dynamics model, including engine module, powertrain module, fire control system module and velocity module, is established preliminarily for airport crash fire vehicle training simulator. Simulation is performed in the airport crash fire vehicle simulation test platform. Finally real vehicle test is carried on. By contrasting simulation with experiment result, it is concluded that the dynamics model is reasonable and feasible and could satisfy the need of airport crash fire vehicle training simulator.

Abstract: Airport crash fire vehicle simulator is an important device that is used in training of the airport firefighters, which has advantage of safe, energy saving and decreasing training cost. Sound system is an important part of airport crash fire vehicle simulator, which provides voice message to training personnel, which can make training personnel have immersed sense. Based on the principles of sound source position to analyze the different physical structure of the human body (head, torso, pinna) the impact of sound localization, the establishment of head-related transfer function model, using the model of the sound source, filtering, delay processing, and virtual sound source. And we have tested and verified with listening experiment.