Solid rocket motor propellant grain burnback simulation based on fast minimum distance function calculation and improved marching tetrahedron method |
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Institution: | 1. China Academy of Launch Vehicle Technology, Beijing 100076, China;2. School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 100081, China |
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Abstract: | To efficiently compute arbitrary propellant grain evolution of the burning surface with uniform and non-uniform burning rate for solid rocket motor, a unified framework of burning surface regression simulation has been developed based on minimum distance function. In order to speed up the computation of the mini-mum distance between grid nodes of grain and the triangular mesh of burning surface, a fast distance querying method based on the equal size cube voxel structure was employed. An improved marching tetrahedron method based on piecewise linear approximation was carried out on second-order tetrahedral elements, achieved high-efficiency and adequate accuracy of burning surface extraction simultaneously. The cases of star grain, finocyl grain, and non-uniform tube grain were studied to verify the proposed method. The observed result indicates that the grain burnback computation method could realize the accurate simulation on unstructured tetrahedral mesh with a desirable performance on computational time. |
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Keywords: | Burning surface area Finocyl grain Level set Marching tetrahedron Minimum distance function Solid propellants Solid rocket motor |
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