Purpose

This paper aims to evaluate the influence of the parameters of the Fused Filament Fabrication (FFF) process on the mechanical properties and on the mass of parts printed in Polylactic Acid (PLA). In addition, the authors developed predictive models for the analysed responses.

Design/methodology/approach

A full Factorial type of experimental planning method was used to define the conditions for manufacturing parts according to the variation of the construction parameters, extrusion temperature and print speed. Samples were printed for tensile, flexion and compression tests. Their mass was measured. Multiple regression methods, based on power equations, were used to build the forecasting models.

Findings

It was found that the extrusion temperature was the parameter of greatest influence in the variation of the analysed responses, mainly because it generates behaviour patterns and indirectly demonstrates thermal/rheological characteristics of the material used. Print speed affects responses, however, with variations dependent on part geometry and printer hardware/software. It was possible to establish prediction models with low error rates in relation to the experimental values.

Originality/value

The study demonstrates a good relation between the use of a structured experimental planning method as the basis for the development of predictive models based on mathematical equations, the same structure of which can be used to describe different responses.

中文翻译：

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3D打印工艺参数对PLA零件的力学性能和质量以及预测模型的影响

目的

本文旨在评估熔融长丝制造（FFF）工艺参数对机械性能以及印刷在聚乳酸（PLA）中的零件质量的影响。此外，作者还为所分析的响应开发了预测模型。

设计/方法/方法

根据结构参数，挤出温度和印刷速度的变化，使用完全因子型的实验计划方法来定义制造零件的条件。印刷样品以进行拉伸，弯曲和压缩测试。测量它们的质量。使用基于幂等式的多元回归方法来构建预测模型。

发现

发现挤出温度是分析响应变化中影响最大的参数，主要是因为它会生成行为模式并间接显示所用材料的热/流变特性。但是，打印速度会影响响应，其变化取决于零件的几何形状和打印机硬件/软件。可以建立相对于实验值具有较低错误率的预测模型。

创意/价值

该研究表明，使用结构化的实验计划方法作为开发基于数学方程式的预测模型的基础之间存在良好的关系，该方程式的相同结构可用于描述不同的响应。