Journal of Applied Science and Engineering

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Bao-Tri Diep1, Hai-Zy-Zy Le1, Van-Bo Vu1, and Quoc-Hung nguyen2This email address is being protected from spambots. You need JavaScript enabled to view it.

1Faculty of Mechanical Engineering, Industrial University of Ho Chi Minh City, Ho Chi Minh City, 727000, Vietnam

2Faculty of Engineering, Vietnamese-German University, Ben Cat Town, Binh Duong Province, 820000, Vietnam


 

 

Received: October 5, 2023
Accepted: October 25, 2023
Publication Date: November 20, 2023

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.


Download Citation: ||https://doi.org/10.6180/jase.202408_27(8).0010  


This study aims to develop and evaluate a unique 3D haptic system utilizing a gimbal mechanism and three Magneto-Rheological Brakes (MRBs). The research begins with a comprehensive literature review to propose a configuration for a 3D haptic joystick with force feedback, employing MRF actuators. The gimbal mechanism integrates the three MRBs to provide force feedback for rotational movement along the X, Y, and Z axes. The design and simulation of the MRBs are carried out using the finite element method and the Bingham plastic rheological model, with a focus on minimizing mass and production costs. To address the objective optimization problem associated with the MRBs, Particle Swarm Optimization is applied. Subsequently, a physical prototype of the 3D haptic joystick is constructed, and an evaluation is conducted to assess the feedback force. This research also paves the way for future investigations into force feedback in remote control, particularly within the context of the Master-Slave system.


Keywords: Haptic joystick; Force feedback; Magneto-Rheological Brake (MRB); Particle Swarm Optimization (PSO)


  1. [1] B. G. Mark, L. Gualtieri, E. Rauch, R. Rojas, D. Buakum, and D. T. Matt. “Analysis of user groups for assistance systems in production 4.0”. In: 2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE. 2019, 1260–1264. DOI: 10.1109/IEEM44572.2019.8978907.
  2. [2] Z. Du, Y. Liang, Z. Yan, L. Sun, and W. Chen, (2021) “Human-robot interaction control of a haptic master manipulator used in laparoscopic minimally invasive surgical robot system" Mechanism and Machine Theory 156: 104132. DOI: 10.1016/j.mechmachtheory.2020.104132.
  3. [3] S. Jeong and K. Tadano. “Force feedback on hand rest function in master manipulator for robotic surgery”. In: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE. 2021, 1815–1820. DOI: 10.1109/IROS51168.2021.9636632.
  4. [4] Q. H. Nguyen, L. D. Hiep, B. Q. Duy, and S.-B. Choi. “Development of a new clutch featuring MR fluid with two separated mutual coils”. In: AETA 2015: Recent Advances in Electrical Engineering and Related Sciences. Springer. 2016, 835–844. DOI: 10.1007/978-3-319-27247-4_69.
  5. [5] Q.-D. Bui, Q. H. Nguyen, T. T. Nguyen, and D.-D. Mai, (2020) “Development of a magnetorheological damper with self-powered ability for washing machines" Applied Sciences 10(12): 4099. DOI: 10.3390/app10124099.
  6. [6] N. D. Nguyen, T. Le-Duc, L. D. Hiep, and Q. H. Nguyen, (2019) “Development of a new magnetorheological fluid–based brake with multiple coils placed on the side housings" Journal of Intelligent Material Systems and Structures 30(5): 734–748.
  7. [7] Y. Yamaguchi, J. Furusho, S. Kimura, and K. Koyanagi, (2005) “Development of high-performance MR actuator and its application to 2-D force display" International Journal of Modern Physics B 19(07n09): 1485–1491. DOI: 10.1142/S0217979205030487.
  8. [8] S. H. Winter and M. Bouzit, (2007) “Use of magnetorheological fluid in a force feedback glove" IEEE Transactions on Neural Systems and Rehabilitation Engineering 15(1): 2–8. DOI: 10.1109/TNSRE.2007.891401.
  9. [9] C. Bullion and H. Gurocak, (2009) “Haptic glove with MR brakes for distributed finger force feedback" Presence 18(6): 421–433. DOI: 10.1162/pres.18.6.421.
  10. [10] Q. Nguyen, S. Choi, Y. Lee, and M. Han, (2012) “Optimal design of a new 3D haptic gripper for telemanipulation, featuring magnetorheological fluid brakes" Smart materials and structures 22(1): 015009. DOI: 10.1088/0964-1726/22/1/015009.
  11. [11] P.-B. Nguyen, J.-S. Oh, and S.-B. Choi, (2012) “A novel 2-DOF haptic master device using bi-directional magnetorheological brakes: modelling and experimental investigation" International Journal of Materials and Product Technology 44(3-4): 216–226. DOI: 10.1504/IJMPT.2012.050191.
  12. [12] C. Han, B.-G. Kim, B.-H. Kang, and S.-B. Choi, (2020) “Effects of magnetic core parameters on landing stability and efficiency of magnetorheological damper-based landing gear system" Journal of intelligent material systems and structures 31(2): 198–208.
  13. [13] J.-S. Oh, S.-H. Choi, and S.-B. Choi, (2014) “Design of a 4-DOF MR haptic master for application to robot surgery: virtual environment work" Smart materials and structures 23(9): 095032. DOI: 10.1088/0964-1726/23/9/095032.
  14. [14] T. Kikuchi, T. Takano, A. Yamaguchi, A. Ikeda, and I. Abe. “Haptic interface with twin-driven MR fluid actuator for teleoperation endoscopic surgery system”. In: Actuators. 10. 10. MDPI. 2021, 245. DOI: 10.3390/act10100245.
  15. [15] B. T. Diep, Q. H. Nguyen, and T. D. Le, (2022) “Design and control of 2-DoF joystick using MR-fluid rotary actuator" Journal of Intelligent Material Systems and Structures 33(12): 1562–1573.
  16. [16] B. T. Diep, Q. H. Nguyen, J.-H. Kim, and S.-B. Choi, (2020) “Performance evaluation of a 3D haptic joystick featuring two bidirectional MR actuators and a linear MRB" Smart Materials and Structures 30(1): 017003. DOI: 10.1088/1361-665X/abc668.
  17. [17] M. Varela-Jiménez, J. V. Luna, J. Cortés-Ramírez, and G. Song, (2015) “Constitutive model for shear yield stress of magnetorheological fluid based on the concept of state transition" Smart Materials and Structures 24(4): 045039. DOI: 10.1088/0964-1726/24/4/045039.
  18. [18] H. Dai Le, Q. H. Nguyen, S.-b. Choi, et al., (2021) “Design and experimental evaluation a novel magnetorheological brake with tooth shaped rotor" Smart Materials and Structures 31(1): 015015. DOI: 10.1088/1361-665X/ac38ff.
  19. [19] Q.-H. Nguyen and S.-B. Choi, (2012) “Optimal design of a novel hybrid MR brake for motorcycles considering axial and radial magnetic flux" Smart Materials and Structures 21(5): 055003. DOI: 10.1088/0964-1726/21/5/055003.
  20. [20] H. Zhu, Y. Wang, K. Wang, and Y. Chen, (2011) “Particle Swarm Optimization (PSO) for the constrained portfolio optimization problem" Expert Systems with Applications 38(8): 10161–10169. DOI: 10.1016/j.eswa.2011.02.075.
  21. [21] G. Pranava and P. Prasad. “Constriction coefficient particle swarm optimization for economic load dispatch with valve point loading effects”. In: 2013 international conference on power, energy and control (ICPEC). IEEE. 2013, 350–354. DOI: 10.1109/ICPEC.2013.6527680.
  22. [22] R. Kar, D. Mandal, S. Bardhan, and S. Ghoshal. “Optimization of linear phase FIR band pass filter using particle swarm optimization with constriction factor and inertia weight approach”. In: 2011 IEEE Symposium on Industrial Electronics and Applications. IEEE. 2011, 326–331. DOI: 10.1109/ISIEA.2011.6108725.