Experimental Study on 3D Printing Silicone Soft Materials for Soft Robots

被引：1

作者：

Chen Y. ^{[1
,2
]}

Wang D. ^{[1
]}

Zhang W. ^{[1
,2
]}

Jin G. ^{[1
,2
]}

机构：

[1] School of Mechanical and Electrical Engineering, Soochow University, Suzhou, 215021, Jiangsu

[2] Robotics and Microsystem Research Center, Soochow University, Suzhou, 215021, Jiangsu

来源：

Zhongguo Jixie Gongcheng/China Mechanical Engineering | 2020年 / 31卷 / 05期

关键词：

3D printing; Orthogonal experiment; Processing parameter optimization; Silicone soft material; Soft robot;

D O I：

10.3969/j.issn.1004-132X.2020.05.013

中图分类号：

学科分类号：

摘要：

Based on the independently built direct ink writing(DIW)platform, DC 737 silicone was used as printing materials and the mechanics model of the extrusion system was analyzed to determine the type of processing parameters. Single-factor tests were used to determine the parameter ranges of layer thickness, printing speed and driving pressure which were suitable for printing. Orthogonal experiments were used to study the influences of each process parameter on printing time and dimensional errors, which was successfully applied to the body printing of soft robots. The results show that the printing speed has the most significant effect on the printing time within a certain range, and the driving pressure has the greatest effect on the dimensional errors. The optimal processing parameters are layer thickness of 0.4 mm, printing speed of 15 mm/s, and driving pressure of 124 110 Pa(18 psi). Soft caterpillars robots were printed by using the optimal parameter combination, and dynamic performance experiments were performed to verify the feasibility of high efficient and high-precision in 3D printing soft robots. © 2020, China Mechanical Engineering Magazine Office. All right reserved.

引用

页码：603 / 609and629

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