Statistical analysis and optimization of variables affecting tensile and impact behavior of printed PETG samples using fused deposition modeling

Authors

Faculty of Mechanical Engineering, Shahrood University of Technology

10.22044/jsfm.2025.15421.3919

Abstract

Fused deposition modeling (FDM) is known as one of the additive manufacturing methods of polymer parts. In this process, the workpiece is printed based on the deposition of melted filament. In this research, using the FDM process and based on the response surface methodology, standard samples for tensile and impact tests were produced from PETG filament under the certain settings of input variables including: layer height, nozzle temperature and printing speed. In the following, by performing measurement tests and statistical analysis, the tensile and impact behavior of the printed samples were evaluated. The results of ANOVA showed that the square of printing speed, the square of nozzle temperature and the product of layer height and nozzle temperature respectively have the greatest effect on yield strength, failure strength and impact strength of polymer samples. In addition, the high values of the coefficient of variation obtained from the statistical analysis showed that the regression models for predicting the tensile and impact behavior of the printed samples have high accuracy and ability. In the end, using the desirability method, the optimal combination of input variables of the FDM process was determined with the aim of maximizing the tensile and impact properties of polymer samples.

Keywords

Main Subjects


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