Tensile Properties Estimation of 3D Printed Polylactic Acid Samples via Process Parameters using Data-Driven Methods

The main purpose of this article is to investigate the static properties, e.g., ultimate tensile strength and elastic modulus, of polylactic acid samples that are made by 3D printing method. To this end, laboratory results of tensile tests were collected for different manufacturing parameters. Furthermore, various data-driven methods were used to model and predict more states. The mathematical equations for calculating each of the static properties of the material in terms of 3D printing parameters was provided using regression technique. Moreover, the results of Taguchi sensitivity analysis showed that Infill density is the most effective parameter on all tensile properties of the investigated material. Finally, the response surface method was utilized to determine the interaction of 3D printing process parameters simultaneously on the static properties of the samples.