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Operational performance analysis of spiral capsule robot in multiphase fluid

Published online by Cambridge University Press:  19 September 2018

Liang Liang*
Affiliation:
School of Mechanical and Electrical Engineering, Changsha University, Changsha 410022, China
Bai Chen*
Affiliation:
Jiangsu Key Laboratory of Precision and Mico-Manufacturing Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Yong Tang*
Affiliation:
School of Mechanical and Electrical Engineering, Changsha University, Changsha 410022, China
Yan Xu*
Affiliation:
School of Mechanical and Electrical Engineering, Changsha University, Changsha 410022, China
Yu Liu*
Affiliation:
School of Mechanical and Electrical Engineering, Changsha University, Changsha 410022, China

Summary

Minimally invasive surgery is a developing direction of modern medicine. With the successful development of controllable capsule endoscopies, capsule robots are very popular in the field of gastrointestinal medicine. At present, the study of intestinal robots is aimed at the pipeline environment of a single-phase liquid flow. But there exist food residues (i.e. solid particles) or liquid foods in the actual intestine, so intestinal fluid should be liquid–solid or liquid–liquid two-phase mixed fluid. For inner spiral capsule robots with different internal diameters and outer spiral capsule robots, using computational fluid dynamics (CFD) method, the operational performance indicators (i.e. axial thrust force, circumferential resisting moment and maximum pressure to pipeline wall) of spiral capsule robots are numerically calculated in the liquid–solid or liquid–liquid two-phase mixed fluid. By the orthogonal experimental optimization method, the optimum design of spiral capsule robots is obtained in the liquid–solid mixed fluid. The experimental verification has been also carried out. The results show that in the liquid–solid two-phase fluid, the axial thrust force and circumferential resisting moment of the spiral capsule robots decrease with the increase of the size or concentration of solid particles. In the same liquid–solid or liquid–liquid mixed fluid, the operational performance indicators of outer spiral robots are much higher than those of inner spiral robots, and the operational performance indicators of inner spiral robots with bigger internal diameters are higher than those with smaller internal diameters. Adding solid particles of high concentration in the pipeline containing liquid will reduce the drive performance of spiral capsule robots, but adding another liquid of high viscosity will improve the drive performance of spiral capsule robots.

Type
Articles
Copyright
Copyright © Cambridge University Press 2018 

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References

1. Liao, Z., Li, Z. S. and Jin, Z. D., Mapping of Gastrointestinal Remote Capsule Endoscopy (Tsinghua University Press, Beijing, 2015).Google Scholar
2. Meron, G. D., “The development of the swallowable video-capsule (M2A),” Gastrointestinal Endoscopy 52 (6), 812819 (2000).Google Scholar
3. Sayaka, R. F., System Lab. [EB/OL]. Available at: http://www.rfsystemlab.com/en/sayaka/ (2014).Google Scholar
4. Park, H. J., Nam, H. W., Song, B. S. et al., “Design of Bi-directional and Multi-channel Miniaturized Telemetry Module for Wireless Endoscopy,” Proceedings of the 2nd Annual International IEEE-EMB Special Topic Conference on Microtechnologies in Medicine & Biology, Madison, USA (2002) pp. 273–276.Google Scholar
5. Maqbool, S., Parkman, H. P. and Friedenberg, F. K., “Wireless capsule motility: Comparison of the Smartpill GI monitoring with scintigraphy for measuring whole gut transit,” Digestive Diseases Sci. 54 (10), 21672174 (2009).Google Scholar
6. Calderón, A. A., Ugalde, J. C., Zagal, J. C. et al., “Design, Fabrication and Control of a Multi-Material-Multi-Actuator Soft Robot Inspired by Burrowing Worms,” Proceedings of the IEEE International Conference on Robotics and Biomimetics, Qingdao, China (2016) pp. 31–38.Google Scholar
7. Ge, J. Z., Calderón, A. A. and Pérez-Arancibia, N. O., “An earthworm-inspired soft crawling robot controlled by friction,” Proceedings of the IEEE International Conference on Robotics and Biomimetics, Macau, China (2017) pp. 834–841.Google Scholar
8. Kim, B., Lee, M. G., Lee, Y. P. et al., “An earthworm-like micro robot using shape memory alloy actuator,” Sensors Actuators A Phys. 125 (2): 429437 (2006).Google Scholar
9. Zhang, C., Su, G., Tan, R. J., and Li, H. Y. “Experimental Investigation of the Intestine's Friction Characteristic based on “Internal Force-Static Friction” Capsubot,” Proceedings of the IASTED International Conference Biomedical Engineering, Innsbruck, Austria (2011) pp. 16–18.Google Scholar
10. Woo, S. H., Kim, T. W., Mohy-Ud-Din, Z., Park, I. Y. and Cho, J. H.Small intestinal model for electrically propelled capsule endoscopy,” Biomed. Eng. Online 10 (1), 120 (2011).Google Scholar
11. He, S., Yan, G. Z., Ke, Q. et al., “A wirelessly powered expanding-extending robotic capsule endoscope for human intestine,” Int. J. Precision Eng. Manuf. 16 (6), 10751084 (2015).Google Scholar
12. Sendoh, M. and Ishiyama, K., “Fabrication of magnetic actuator for use in a capsule endoscope,” IEEE Trans. Magn. 39 (5), 32323234 (2003).Google Scholar
13. Zhang, Y. S., Jiang, S. Y., Zhang, X. W. et al.A variable-diameter capsule robot based on multiple wedge effects,” IEEE/ASME Trans. Mechatronics 16 (2), 241254 (2011).Google Scholar
14. Zhou, H., Alici, G., Than, T. D. et al., “Modeling and experimental characterization of propulsion of a spiral-type microrobot for medical use in gastrointestinal tract,” IEEE Trans. Biomed. Eng. 60 (6), 17511759 (2013).Google Scholar
15. Liang, N., Guo, J., Guo, S. et al., “Performance Evaluation of the Wireless Micro Robot in the Fluid,” Proceedings of the IEEE International Conference on Mechatronics and Automation, Beijing, China (2015) pp. 958–963.Google Scholar
16. Guo, J., Guo, S., Wei, X. et al., “A novel tele-operation controller for wireless microrobots in-pipe with hybrid motion,” Robot. Autonomous Syst. 76 (C), 6879 (2016).Google Scholar
17. Liang, L., Chen, B., Tang, Y. et al., “Research on a novel inner and outer spiral micro in-pipe robot,” J. Adv. Mech. Design Syst. Manuf. 8 (6), 114 (2014).Google Scholar
18. Liang, L., Peng, H., Chen, B. et al., “Performance analysis and parameter optimization of an inner spiral in-pipe robot,” Robotica 34 (2), 361382 (2016).Google Scholar
19. Liang, L., Hu, R., Chen, B. et al., “Scaling effects in spiral capsule robots,” Proc. Institution Mech. Eng. H J. Eng. Med. 231 (4), 307314 (2017).Google Scholar
20. Zhou, D. H., Li, J. S., Li, N. et al., “Study on viscosity property of gastrointestinal,” J. Biomed. Eng. 21 (1), 7273 (2004).Google Scholar
21. Wang, Z., Zhou, M., Su, D. M. et al., “Experimental study concerning the effects of profile morphology of intestine on the frictional characteristics,” Tribology 34 (2), 193197 (2014).Google Scholar
22. Jiang, F. and Huang, P., Fluent Advanced Application and Case Analysis (Tsinghua University Press, Beijing, 2008).Google Scholar
23. Fang, K. and Ma, C., Orthogonal and Uniform Experimental Design (Science Press, Beijing, 2001).Google Scholar