面向软体机器人的3D打印硅胶软材料实验研究

摘要/Abstract

摘要： 基于自主搭建的直接喷墨打印式打印平台，以DC737硅胶为打印材料，分析了挤出系统的力学模型，以确定工艺参数的类型；采用单因素试验确定了适合打印的层厚、打印速度和驱动压力的参数范围；采用正交试验研究了各工艺参数对打印时间、尺寸误差的影响规律，并成功应用到软体机器人的本体打印上。研究结果表明：在一定范围内，打印速度对打印时间的影响最为显著，而对尺寸误差影响最大的是驱动压力，最优工艺参数为层厚0.4 mm、打印速度15 mm/s、驱动压力124 110 Pa(18 psi)。使用最优参数组合打印出了软体毛毛虫，并进行了动态性能实验，验证了高效、高精度3D打印软体机器人的可行性。

关键词: 软体机器人, 硅胶软材料, 3D打印, 工艺参数优化, 正交试验

Abstract: 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.

Key words: soft robot, silicone soft material, 3D printing, processing parameter optimization, orthogonal experiment

中图分类号:

TN205

陈尤旭1,2;王德山1;张伟1,2;金国庆1,2. 面向软体机器人的3D打印硅胶软材料实验研究[J]. 中国机械工程.

CHEN Youxu1,2;WANG Deshan1;ZHANG Wei1,2;JIN Guoqing1,2. Experimental Study on 3D Printing Silicone Soft Materials for Soft Robots[J]. China Mechanical Engineering.

参考文献

[1]曹玉君，尚建忠，梁科山，等.软体机器人研究现状综述[J].机械工程学报, 2012, 48(3):25-33.

CAO Yujun, SHANG Jianzhong, LIANG Keshan, et al.Review of Research Status of Soft Robots[J].Journal of Mechanical Engineering, 2012, 48(3):25-33.

[2]常定勇, 方跃法.多输出3D打印冗余并联机器人的设计与分析[J].中国机械工程, 2015, 26(12):1595-1602.

CHANG Dingyong, FANG Yuefa.Design and Ana-
lysis of Multi-output 3D Printing Redundant Parallel Manipulators[J].China Mechanical Engineering, 2015, 26(12):1595-1602.

[3]GUI J Z, SAJID M, REHMAN M M, et al.3D Printing for Soft Robotics:a Review[J].Science and Technology of Advanced Materials, 2018, 19(1):243-262.

[4]朱林重，连芩，靳忠民，等． PEGDA 水凝胶的光固化成形工艺研究及其性能评价[J].西安交通大学学报，2012，46(10):121-126．

ZHU Linzhong, LIAN Qin, JIN Zhongmin, et al.Photocuring Forming Process of PEGDA Hydrogel and Its Performance Evaluation[J].Journal of Xian Jiaotong University, 2012,46(10):121-126.

[5]TRUBY R L, LEWIS J A.Printing Soft Matter in Three Dimensions[J].Nature, 2016,540:371
-378.

[6]WALLIN T J, PIKUL J H, SHEPHERD R F .3D Printing of Soft Robotic Systems[J].Nature Reviews Materials, 2018,3(6):84-100.

[7]WEHNER M, TRUBY R L, FITZGERLD D J, et al.An Integrated Design and Fabrication Strategy for Entirely Soft Autonomous Robots[J].Nature, 2016,536:451-455.

[8]BARTLETT N W, TOLLEY M T, OVERVELDE J T B, et al.A 3D-printed, Functionally Graded Soft Robot Powered by Combustion[J].Science, 2015, 349(6244):161-165.

[9]TOMMASO R, SHEILA R, BARTLETT N W, et al.Soft Robotics:Increasing the Dimensionality of Soft Microstructures through Injection-induced Self-folding[J].Advanced Materials, 2018, 30(38):1870282.

[10]GLADMAN S A, MATSUMOTO E A, NUZZO R G, et al.Biomimetic 4D printing[J].Nature Materials, 2016,15(4):413-418.

[11]YANG Y, CHEN Y, WEI Y, et al.3D Printing of Shape Memory Polymer for Functional Part Fabrication[J].The International Journal of Advanced Manufacturing Technology, 2016, 84(9/12):2079-2095.

[12]LASCHI C, ROSSITER J, IIDA F, et al.Soft Robotics:Trends, Applications and Challenges[C]//Proceedings of the Soft Robotic Week.Livorno, 2017:23-29.

[13]董秀丽，尹德强，方辉，等． FDM 3D 打印尺寸误差及其工艺补偿方法研究[J].组合机床与自动化加工技术，2016(8):39-41．

DONG Xiuli, YIN Deqiang, FANG Hui, et al.FDM 3D Printing Size Error and Its Process Compensation Method[J].Combined Machine Tools and Automated Machining Technology, 2016(8):39-41.

[14]李云雁，胡传荣．试验设计与数据处理[M].北京:化学工业出版社，2008．

LI Yunyan, HU Chuanrong.Experimental Design and Data Processing[M].Beijing: Chemical Industry Press, 2008.

[15]GUO S Z, HEUZEY M, THERRIAULT D.Solvent-cast Direct-write Microfabrication of Thermoplastic-based Nanocomposite Structures[C]//19th Int.Conf.Compos.Mater..Montreal, 2013:1-9.

[16]GUI J Z, SAJID M, REHMAN M M, et al.3D Printing for Soft Robotics:a Review[J].Science and Technology of Advanced Materials, 2018, 19(1):243-262.

[17]VOZZI G, PREVITI A, DE R D, et al.Microsyringe-based Deposition of Two-dimensional and Three-dimensional Polymer Scaffolds with a Well-defined Geometry for Application to Tissue Engineering[J].Tissue Engineering, 2002, 8(6):1089-1098.

[18]PANG W, WANG J B, FEI Y Q.The Structure, Design, and Closed-loop Motion Control of a Differential Drive Soft Robot[J].Soft Robotics, 2017, 5(1):71-80.