Fused deposition modeling (FDM) is a 3D printing technique that prints thermoplastic layer by layer. Various parameters affect the properties of the final printed object. The exact identification of variation in the properties of the printed object is still a very popular issue among the researchers. In the present work, an effort has been made to identify the parametric influence of layer thickness, infill density, print speed and extruder temperature on the wear behavior of the printed specimens. The specimens of polylactic acid (PLA) have been printed using Fused Deposition Modeling (FDM). The combinations of input parameters during the fabrication have been considered as per the Taguchi L16 Orthogonal Array. Moreover, to identify the parametric influence on wear, mathematical modeling has been done using regression and artificial neural networks. The results show that the average percentage variation in predicted experimental values for regression and ANN models are, 5.04% and 1.94%, respectively. Moreover, for minimum wear layer thickness should be kept between 0.28- 0.34mm. Similarly, infill density, print speed, and extruder temperature should be between 70-72, 125-175mm/s and 195-202 degree, respectively.

中文翻译：

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工艺参数对3D打印聚乳酸样品磨损率的参数影响

熔融沉积建模（FDM）是一种3D打印技术，可逐层打印热塑性塑料。各种参数会影响最终打印对象的属性。在研究人员中，如何准确识别打印对象的特性变化仍然是一个非常普遍的问题。在目前的工作中，已经做出努力来确定层厚度，填充密度，印刷速度和挤出机温度对印刷样品的磨损行为的参数影响。聚乳酸（PLA）标本已使用熔融沉积建模（FDM）进行了印刷。根据Taguchi L16正交阵列，已经考虑了在制造过程中输入参数的组合。此外，为了确定对磨损的参数影响，使用回归和人工神经网络已经完成了数学建模。结果表明，回归模型和ANN模型的预测实验值的平均百分比变化分别为5.04％和1.94％。此外，为使最小磨损层厚度应保持在0.28-0.34mm之间。同样，填充密度，打印速度和挤出机温度应分别在70-72、125-175mm / s和195-202度之间。