Pell DJ, Soshi M. Analysis and optimization of bone machining for robotic orthopedic surgeries.
Int J Med Robot 2018;
14:e1910. [PMID:
29603572 DOI:
10.1002/rcs.1910]
[Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2017] [Revised: 02/14/2018] [Accepted: 02/15/2018] [Indexed: 11/11/2022]
Abstract
BACKGROUND
Robot-assisted joint replacement surgery is becoming increasingly more common worldwide, therefore it is important to characterize and improve the bone-cutting mechanics of surgical tools.
METHODS
Linear coefficients relating cutting force and chip thickness were derived for a surgical spindle. The cutting coefficients were integrated into an analytical simulation which calculated cutting forces, torque, and power consumption. An optimization experiment was performed. High speed video was taken at various tool parameter settings.
RESULTS
Varying machining parameters resulted in lower cutting forces. The surgical spindle stalled at the current spindle speed used in surgery, but did not for the new, optimized conditions. Multiple anomalies were identified in the videos that confirmed observations from the cutting force data.
CONCLUSIONS
Improved surgical performance and accuracy were achieved using slower spindle speeds, decreased cutting depth, and increased feed rates, as well as improving motor torque to ensure a smooth cutting process.
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