Large Scale Parallel Algorithms For 3d Grain Burnback Analysis Of Solid Propellant Rocket Motors

To simulate the 3D grain burnback process and analysis the performance of the solid rocket motor (SRM) in a more efficient and more generalized way, a large scale parallel computing algorithm was put forward by discrete the 3D structure of grain into million voxels. Based on highly paralleled graphics process units (GPU) computing architecture, the bounding box space of the grain was discretized into a 3D voxels matrix firstly, and Z-Buffer testing was used to confirm the calculation boundary of the grain. Then, paralleled burning state filling algorithm was adopted to calculate the distance fields between initial burning surface and voxels matrix. For a given web, modified marching cubes iso-surface extraction technologies were also used to extract the burning surface in real time. Finally, taken an irregular grain as the example, which had complex inhibitors, the calculation accuracy and computational efficiency verified the validity of this grain burnback simulation method.