MODELLING AND OPTIMIZATION OF SURFACE ROUGHNESS AND TENSILE STRENGTH OF ABS, PLA AND PETG SAMPLES PRODUCED BY FDM METHOD

Yasin Kuruoğlu, Mahir Akgün, H. Demir
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引用次数: 2

Abstract

The current study examines the influence of ABS, PLA, and PETG filaments and printing parameters on the surface quality and tensile strength of the samples produced using Fused Deposition Modeling (FDM) technology. For this purpose, a print experiment design has been made according to the Taguchi L27 index. While filament material, filling ratio, layer thickness, filling speed, and scanning angle are printing parameters, surface roughness and tensile strength are print quality indicators. Regression analysis has been also applied to mathematically model the surface roughness and tensile strength values obtained from experimental measurements. The outcomes of this study show that the filament material plays an important role in the surface roughness and tensile strength. Moreover, it has been determined that the surface roughness of PLA filament is 7.23% and 54.19% less on average, respectively, compared to ABS and PETG filaments, and also the tensile strength of PLA filament is 46.46% and 34.12% higher compared to other filaments, respectively.
FDM法生产的abs、PLA和petg样品的表面粗糙度和抗拉强度建模与优化
目前的研究考察了ABS、PLA和PETG长丝和打印参数对使用熔融沉积建模(FDM)技术生产的样品的表面质量和抗拉强度的影响。为此,根据田口L27指数进行了印刷实验设计。长丝材料、填充比、层厚、填充速度、扫描角度是打印参数,表面粗糙度和抗拉强度是打印质量指标。回归分析也被应用于数学模型的表面粗糙度和抗拉强度值从实验测量得到。研究结果表明,长丝材料对表面粗糙度和抗拉强度有重要影响。此外,PLA长丝的表面粗糙度比ABS和PETG长丝平均分别降低了7.23%和54.19%,拉伸强度比其他长丝分别提高了46.46%和34.12%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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