Surface Reconstruction of Engine Intake Ports with Mixed Constraints

Authors:
Kun Mo;Zhouping Yin
Affiliations:
State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, P.R. China 430074;State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, P.R. China 430074
Venue:
ICIRA '09 Proceedings of the 2nd International Conference on Intelligent Robotics and Applications
Year:
2009

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Abstract

This paper presents a novel algorithm called mixed constraints reconstruction (MCR) method for building the surface of engine intake ports from scanning point clouds. The key idea of MCR method is to incorporate the fluid flow as a global constraint to approximate the point clouds with implicit surface representation. By combining the distance field and the fluid velocity generated from point clouds as mixed constraints, a new minimal-like model and its variational level set equation are introduced. The fluid flow velocity is obtained by solving Navier-Stokes equation, where a method for confirming the boundary condition from an extended boundary is also proposed. This method can reconstruct the final surface more reasonably and smoothly, with good fluid flow testing results. It needs not any additional geometric information and mesh construction. In the end, an example from real case is given to demonstrate the effectiveness of this method.