优化通过 FDM 制造的软气动抓手的表面粗糙度:使用田口方法进行实验研究

IF 1.7 4区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY Multidiscipline Modeling in Materials and Structures Pub Date : 2024-01-04 DOI:10.1108/mmms-09-2023-0313
Muhammet Uludag, O. Ulkir
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引用次数: 0

摘要

目的 本研究采用不同的工艺参数,对熔融沉积建模法制造的软气动机械手(SPG)进行了实验研究。在实验研究中,通过确定四个不同的水平和因素,对机械手的表面质量进行了检验。该实验旨在估算 SPG 的表面粗糙度。设计/方法/途径 该方法包括一个实验阶段,在该阶段制作 SPG 并测量其表面粗糙度。热塑性聚氨酯(TPU)柔性长丝材料用于制造 SPG。确定了田口 L16 垂直阵列实验设计中使用的控制因子及其水平值。为观察印刷参数对表面质量的影响,进行了方差分析(ANOVA)。根据田口信噪比和方差分析,层高是对表面粗糙度影响最大的参数。在 100 µm 层高、2 mm 壁厚、200 °C 喷嘴温度和 120 mm/s 印刷速度的组合下,获得了最佳的表面质量值,表面粗糙度值为 18.752 µm。所开发的模型以 95% 的置信区间预测了 SPG 的表面粗糙度。 原创性/价值 使用不同的变量来检测增材制造部件的表面质量至关重要。在文献中,使用不同的因素和水平对表面粗糙度进行了研究。然而,使用热塑性聚氨酯材料制造的软抓手的表面粗糙度此前尚未进行过研究。使用柔性材料制造的零件的表面质量非常重要。
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Optimizing surface roughness in soft pneumatic gripper fabricated via FDM: experimental investigation using Taguchi method
Purpose In this study, experimental studies were carried out using different process parameters of the soft pneumatic gripper (SPG) fabricated by the fused deposition modeling method. In the experimental studies, the surface quality of the gripper was examined by determining four different levels and factors. The experiment was designed to estimate the surface roughness of the SPG.Design/methodology/approach The methodology consists of an experimental phase in which the SPG is fabricated and the surface roughness is measured. Thermoplastic polyurethane (TPU) flex filament material was used in the fabrication of SPG. The control factors used in the Taguchi L16 vertical array experimental design and their level values were determined. Analysis of variance (ANOVA) was performed to observe the effect of printing parameters on the surface quality. Finally, regression analysis was applied to mathematically model the surface roughness values obtained from the experimental measurements.Findings Based on the Taguchi signal-to-noise ratio and ANOVA, layer height is the most influential parameter for surface roughness. The best surface quality value was obtained with a surface roughness value of 18.752 µm using the combination of 100 µm layer height, 2 mm wall thickness, 200 °C nozzle temperature and 120 mm/s printing speed. The developed model predicted the surface roughness of SPG with 95% confidence intervals.Originality/value It is essential to examine the surface quality of parts fabricated in additive manufacturing using different variables. In the literature, surface roughness has been examined using different factors and levels. However, the surface roughness of a soft gripper fabricated with TPU material has not been examined previously. The surface quality of parts fabricated using flexible materials is very important.
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来源期刊
CiteScore
3.70
自引率
5.00%
发文量
60
期刊介绍: Multidiscipline Modeling in Materials and Structures is published by Emerald Group Publishing Limited from 2010
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