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A Fast Algorithm of Normal Vector Calculation for NURBS Surface Based on Taylor Expansion

机译:基于泰勒膨胀的NURBS表面正常矢量计算快速算法

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In order to improve the efficiency of normal vector calculation for NURBS surface in complex surface modeling, this paper proposes a fast calculation algorithm for NURBS surface and its normal unit vector based on Taylor expansion (FCNN). When using FCNN to calculate the normal unit vector of a NURBS surface, it is only necessary to calculate the derivative vector of the iso-parametric line of the B-spline surface at each node from 0 to its order in the NURBS surface fraction expression. Then the Taylor formula can be used to calculate the corresponding parameters in the normal unit vector of the NURBS surface, and the corresponding points on the surface can be calculated in this process. In order to illustrate the feasibility and efficiency of the proposed algorithm, this paper carried out simulation verification, and compared the calculation results and code running time. The simulation results show that the FCNN algorithm is accurate and feasible, which is of great significance for improving the calculation efficiency of the points on the NURBS surface and the normal unit vector.
机译:为了提高复杂表面建模中NURBS表面的正常矢量计算效率,本文提出了一种基于泰勒膨胀(FCNN)的NURBS表面及其正常单元向量的快速计算算法。当使用FCNN计算NURBS表面的正常单位向量时,才需要在NURBS表面分数表达式中计算每个节点的每个节点处的B样条表面的ISO-参数线的衍生矢量。然后,泰勒公式可用于计算NURBS表面的正常单元向量中的相应参数,并且可以在该过程中计算表面上的相应点。为了说明所提出的算法的可行性和效率,本文进行了模拟验证,并比较了计算结果和代码运行时间。仿真结果表明,FCNN算法是准确的,可行的,这对于提高NURBS表面和正常单元向量的点的计算效率具有重要意义。

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