田口方法
墨水池
过程(计算)
正交数组
实验设计
过程变量
材料科学
计算机科学
工程制图
直线(几何图形)
机械工程
复合材料
工程类
数学
统计
操作系统
几何学
作者
Yongqiang Tu,Javier A. Arrieta‐Escobar,Alaa Hassan,Uzair Khaleeq uz Zaman,Ali Siadat,Gongliu Yang
出处
期刊:3D printing and additive manufacturing
[Mary Ann Liebert]
日期:2023-08-01
卷期号:10 (4): 816-827
被引量:11
标识
DOI:10.1089/3dp.2021.0208
摘要
Direct ink writing (DIW) belongs to extrusion-based three-dimensional (3D) printing techniques. The success of DIW process depends on well-printable ink and optimized process parameters. After ink preparation, DIW process parameters considerably affect the parts' dimensional accuracy, and process parameters optimization for dimensional accuracy of printed layers is necessary for quality control of parts in DIW. In this study, DIW process parameters were identified and divided into two categories as the parameters for printing a line and the parameter from lines to a layer. Then, a two-step method was proposed for optimizing process parameters. Step 1 was to optimize process parameters for printing a line. In Step 1, continuity and uniformity of extruded filaments and printed rectangular objects were observed in screening experiments to determine printability windows for each process parameter. Then, interaction effect tests were conducted and degree of freedom for experiments was calculated followed by orthogonal array selection for the Taguchi design. Next, main experiments of line printing based on the Taguchi method were conducted. Signal-to-noise ratio calculations and analysis of variance were performed to find the optimal combination and evaluate the significance, respectively. Step 2 was to optimize the parameter from lines to a layer. In Step 2, the average width of the printed line under optimal condition was first measured. Then, single-factor tests of rectangular object printing were conducted to find the optimal parameter from lines to a layer. After these two steps, confirmation results were conducted to verify the reliability of the proposed method and the method robustness on other shapes and other materials; parameter adaptability in 3D parts printing from printed layers' analyses for the proposed method; and parameter adaptability in constructs fabricated as 100% infill or with porosities.
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