FDM型3D打印成型精度多元非线性回归模型

Multivariate Nonlinear Regression Model for Accuracy of FDM 3D Printing Molding Precision

采用JMP软件对3D打印工艺成型误差进行响应面试验设计,以最小的成型精度误差为优化目标进行加工的工艺参数优化设计.试验采用Dforce300 3D打印机,获得分层厚度、打印头温度、平台温度与打印速度,筛选出对成型精度影响显著的因素,建立了一套与成型精度相关的工艺参数的数学模型,并确定了所建立数学模型的准确性.结果表明:分层厚度的主效应对X轴方向成型精度的影响最强,打印速度的主效应对X轴方向成型精度的影响最弱.同时根据优化结果得到的最佳工艺参数为分层厚度0.133 mm、打印头温度190℃、平台温度50℃,打印速度为50mm/s,此时的工件成型误差的预测值为-0.024 mm,误差在可忽略范围内,优化结果令人满意.

JMP software was used to design the response surface test for the3D printing process forming error,and the process parameter optimization design was carried out with the minimum forming precision error as the optimization target.In the test,a3D printer with Dforce300was used to obtain the layer thickness,print head temperature,platform temperature and print speed.A set of mathematical models of the process parameters related to the forming precision are established,and the accuracy of the model is determined.The results of model analysis show that the main effect of lamination thickness has the strongest influence on the formation precision of X-axis,and the main effect of printing speed has the weakest influence on the formation precision of X-axis.At the same time,according to the results of optimum process parameters,the error of the workpiece surface is minimum when the layer thickness is0.133mm,the printing speed is50mm/s,the print head temperature is190℃,and the platform temperature is50°C.The workpiece forming error of predicted at this time is0.024mm,error within the scope of the negligible,optimization result is satisfactory.