Contributor
Min Jun Kim, Louis William Rogowski, Ali Beskok, Edmond Richer, Paul Krueger, Pia Vogel
Subject Area
Mechanical Engineering
Abstract
Microscale manipulation has very promising potential in medical applications such as drug delivery, minimal and invasion surgery. Contactless control is preferable as remote manipulation is necessary for in vivo applications. Among different control methods, magnetic power source is more suitable and robust for the applications mentioned above. Presented here is a magnetic tweezer system, which manipulates microscale magnetic particles using magnetic forces created by magnetic field gradient. The proposed system has three advantages: First, force applied by the magnetic tweezer system does not contact with the target object and can be generated in different directions. Second, the magnetic tweezer system can apply strong force to accomplish more operations like cell penetration. Third, magnetic forces can be applied specifically to the magnetic particles as most biological materials are free from magnetic influence. The design, development, simulation, and experiment demonstration are presented, and future work combined with haptics for teleoperation is illustrated, which will be very promising for remote surgery and drug delivery applications. The system introduced in this dissertation is able to achieve a magnetic gradient field as high as 0.8 T/m and capable of exciting micromanipulation with open/closed loop control in 2D/3D. The integration with haptic interface also allows the magnetic tweezer system to perform more micromanipulation tasks such as dynamic path planning and object transportation through real-time teleoperation.
Degree Date
Spring 5-15-2021
Document Type
Dissertation
Degree Name
Ph.D.
Department
Mechanical Engineering
Advisor
Min Jun Kim
Number of Pages
126
Format
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License
Recommended Citation
Zhang, Xiao, "Magnetic Gradient-Based Magnetic Tweezer System for 3D and Swarm Control of Microswimmer" (2021). Mechanical Engineering Research Theses and Dissertations. 36.
https://scholar.smu.edu/engineering_mechanical_etds/36
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Acoustics, Dynamics, and Controls Commons, Biomechanical Engineering Commons, Biomedical Devices and Instrumentation Commons, Computer-Aided Engineering and Design Commons, Electro-Mechanical Systems Commons