田口方法
ABS树脂
熔融沉积模型
正交数组
材料科学
挤压
实验设计
光栅图形
复合材料
3D打印
热塑性塑料
沉积(地质)
工程制图
计算机科学
工程类
数学
古生物学
统计
人工智能
沉积物
生物
作者
Emmanuelle R. Biglete,Ruth R. Aquino
出处
期刊:Key Engineering Materials
日期:2024-12-06
卷期号:996: 67-73
摘要
Fused deposition modelling (FDM) is the most popular additive manufacturing technique for producing prototypes in which a semi-molten thermoplastic such as acrylonitrile butadiene styrene (ABS) is extruded on a build plate in a layer wise manner from bottom to top. In FDM, the mechanical properties of a 3D-printed part are greatly affected by the build parameters such as the raster angle, extrusion temperature, layer thickness, and infill. With this, the objective of the present study is to characterize the effect of selected input build parameters on the compressive strength and impact resistance of the FDM-printed parts using orthogonal array, signal-to-noise (S/N) ratio, and analysis of variance (ANOVA). Using Taguchi’s method for the design of experiment (DOE), the optimal build parameter combinations and significant main effects were determined. Confirmation experiments were also carried out and were compared with the Taguchi-based predicted values. The experimental results are within the accepted 95% confidence interval suggesting that the optimization was successful at 5% confidence level.
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