熔融沉积成型中通过优化控制填充速度可以有效改善制件质量。然而填充速度与层厚、喷头温度、轮廓拐角等参数存在相互交织耦合作用关系，优化控制存在困难。在双变量打印实验基础上，文中采用多元非线性回归构建了基于多参数协同耦合作用的填充速度优化控制函数，并结合误差分析、单向拉伸与弯曲实验等手段检验了填充速度优化控制效果。结果表明：相同工艺参数条件下，采用文中提出的速度优化控制方法，试样的精度误差值均低于或接近于最小精度误差平均值，拉伸性能得到小幅提升。最后，通过断面微观形貌分析验证了该方法对拉伸性能的影响。

In fused deposition modeling, the quality of parts can be effectively improved by optimizing the control of the filling speed. However, the filling speed is intercoupled with layer thickness, nozzle temperature and contour corner angle, so it is difficult to optimize the speed control. Based on the bivariate printing experiments, this paper used multivariate nonlinear regression method to construct an optimized control function of the filling speed by considering multiparameter synergistic coupling effect. Combining error analysis, uniaxial tensile and bending test, the effect of the optimization control of the filling speed was tested. Results show that, under the same conditions of processing parameters, by employing the speed optimization method proposed in this paper, samples’ accuracy error values are less than or closed to the average minimum accuracy error value, and the tensile performance can be enhanced slightly. Finally, the influence of this method on the tensile properties is also verified through fracture microscopic morphology analysis.