Machinability of Structural Materials of MR-compatible Robots

doi:10.3969/j.issn.1000-1093.2013.08.014

Abstract

Abstract:

Three kinds of MR-compatible non-metal materials, namely polypropylene, nylon and polyformaldehyde, are chosen for the measurement of their cutting forces and surface roughnesses. The variations of three-dimensional cutting force and roughness in the case of different cutting parameters are discussed. According to the above mentioned experimental results and the shapes of chips obtained during machining, the machinabilities of three materials are evaluated by using digraph and matrix (DAM) method. The result demonstrates that the nylon has the best machinability among the three materials, the polyformaldehyde takes the second place, and the machinability of polypropylene is the worst. Thus the nylon is selected for the main structure of the MR-compatible robot.

Key words: manufacturing processes and equipment, MR image, robot, cutting force, surface roughness, machinability

CLC Number:

TH16

REN Zhao-wei, JIANG Shan, QI Hou-jun, YAN Bing. Machinability of Structural Materials of MR-compatible Robots[J]. Acta Armamentarii, 2013, 34(8): 1007-1012.

References

[1] 丑武胜, 王田苗. 医用机器人与数字化医疗仪器设备的研究和发展[J]. 机器人技术与应用, 2003,(4):7 -11. CHOU Wu-sheng, WANG Tian-miao. Development and process of surgical robot and digital surgical instruments[J]. Robot Technique and Application, 2003,(4):7 -11. (in Chinese) [2] Dai J S. Surgical robotics and its development and progress[J].Robotica, 2010, 28(3): 161. [3] Friedrich A, Leo P, Alexandre P,et al. Value of magnetic resonance imaging in prostate cancer diagnosis[J]. World Journal of Urology, 2007, 25(4): 351 -359. [4] 洪在地, 贠超, 赵磊, 等. 核磁共振兼容手术机器人研究[J].中国生物医学工程学报, 2008, 27(4): 621 -629. HONG Zai-di, YUN Chao, ZHAO Lei, et al. Summary on MR-compatible Surgical robot[J]. Chinese Journal of Biomedical Engineering, 2008,27(4): 621 -629. (in Chinese) [5] Larson B T, Erdman A G, Tsekos N V, et al. Design of an MRI-compatible robotic stereotactic device for minimally invasive interventions in the breast[J]. Journal of Biomechanical Engineering, 2004, 126(4): 458 -465. [6] Krieger A, Susil R C, M佴nard C, et al. Design of a novel MRI compatible manipulator for image guided prostate interventions [J ]. IEEE Transactions on Biomedical Engineering, 2005,52(2): 306 -313. [7] Chinzei K, Hata N, Jolesz F A, et al. MR compatible surgical assist robot: system integration and preliminary feasibility study[J].Medical Image Computing and Computer-Assisted Intervention,2000: 921 -930. [8] Stoianovici D. Multi-imager compatible actuation principles in surgical robotics[J]. International Journal of Medical Robotics and Computer Assisted Surgery, 2005, 1(2): 86 -100. [9] Kumar A, Choi S K, Goksel L. Tolerance allocation of assemblies using fuzzy comprehensive evaluation and decision support process[J]. International Journal of Advanced Manufacturing Technology, 2011, 5: 379 -391. [10] Chen K, Gu Y, Yang K. 3D stress field analysis and fuzzy comprehensive evaluation for milling insert with complex groove[J].Progress of Machining Technology, 2004, 780 -785. [11] Leon T, Liern V, Ruiz J L, et al. A fuzzy mathematical programming approach to the assessment of efficiency with DEA models [J]. Fuzzy Sets and System, 2003, 139(2): 407 -419. [12] Yousefi A, Hadi-Vencheh A. An integrated group decision making model and its evaluation by DEA for automobile industry[J].Expert Systems With Applications, 2010,37(12):8543 -8556. [13] Wang J, Liu S. Prediction of efficient outputs based on GM (1,N) model and weak DEA efficiency[J]. Journal of Systems Engineering and Electronics, 2011, 22(6): 933 -939. [14] Rao R V, Gandhi O P. Digraph and matrix methods for the machinability evaluation of work materials[J]. International Journal of Machine Tools & Manufacture, 2002, 42: 321 -330. [15] Lee B Y, Tarng Y S, Lii H R. An investigation of modeling of the machining database in turning operations[J]. Journal of Materials Processing Technology, 2000, 105: 1 -6. [16] Li X, Hong W, Wang J, et al. Research on the radar chart theory applied to the indoor environmental comfort level evaluation [C]//Proceedings of the World Congress on Intelligent Control and Automation. New Jersey: Institute of Electrical and Electronics Engineers Inc, 2006: 5214 -5217. [17] Zhang J, Kawai Y,Kumamoto T. A novel re-ranking system using a radar chart interface[C]//The 2010 IAENG International Conference on Internet Computing and Web Services. Hongkong: International Association of Engineers, 2010: 632 -637.