Robotic total hip arthroplasty is a procedure in which a milling operation is performed on the femur followed by insertion of a prosthetic implant. Although surgeons operate the robots, they do not control the choice of robotic tools and cutting strategies of the robot. Toolpath parameters, such as feedrate, tool geometry, and spindle speeds, govern the cutting forces of the robot. This research covers a methodological approach for finding optimal parameters such that cutting forces and surgical times are reduced. Many different types of orthopedic surgical burs were retrofitted into an advanced computer numerically controlled (CNC) machine, and the characteristics of each tool were evaluated. A simulation cutting model was then developed to find the parameters that could remove the most material in the fastest amount of time without violating any of the safety constraints of surgery. The new methodology proposed not only finds the theoretical optimal parameters but also expedites the process of finding sufficient parameters for orthopedic surgery.
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March 2017
Research-Article
A New Methodology of Finding Optimal Toolpath and Tooling Strategies for Robotic-Assisted Arthroplasty
Babak Kianmajd,
Babak Kianmajd
ARMS Laboratory,
Department of Mechanical and
Aerospace Engineering,
University of California, Davis,
Davis, CA 95616
e-mail: BBKianmajd@ucdavis.edu
Department of Mechanical and
Aerospace Engineering,
University of California, Davis,
Davis, CA 95616
e-mail: BBKianmajd@ucdavis.edu
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Masakazu Soshi
Masakazu Soshi
ARMS Laboratory,
Department of Mechanical
and Aerospace Engineering,
University of California, Davis,
Davis, CA 95616
e-mail: MSoshi@ucdavis.edu
Department of Mechanical
and Aerospace Engineering,
University of California, Davis,
Davis, CA 95616
e-mail: MSoshi@ucdavis.edu
Search for other works by this author on:
Babak Kianmajd
ARMS Laboratory,
Department of Mechanical and
Aerospace Engineering,
University of California, Davis,
Davis, CA 95616
e-mail: BBKianmajd@ucdavis.edu
Department of Mechanical and
Aerospace Engineering,
University of California, Davis,
Davis, CA 95616
e-mail: BBKianmajd@ucdavis.edu
Masakazu Soshi
ARMS Laboratory,
Department of Mechanical
and Aerospace Engineering,
University of California, Davis,
Davis, CA 95616
e-mail: MSoshi@ucdavis.edu
Department of Mechanical
and Aerospace Engineering,
University of California, Davis,
Davis, CA 95616
e-mail: MSoshi@ucdavis.edu
Manuscript received June 8, 2016; final manuscript received October 16, 2016; published online December 21, 2016. Assoc. Editor: Rita M. Patterson.
J. Med. Devices. Mar 2017, 11(1): 011006 (7 pages)
Published Online: December 21, 2016
Article history
Received:
June 8, 2016
Revised:
October 16, 2016
Citation
Kianmajd, B., and Soshi, M. (December 21, 2016). "A New Methodology of Finding Optimal Toolpath and Tooling Strategies for Robotic-Assisted Arthroplasty." ASME. J. Med. Devices. March 2017; 11(1): 011006. https://doi.org/10.1115/1.4035129
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