This paper develops a mathematical model for predicting the thermal response in the surgical drilling of bone. The model accounts for the bone, chip, and drill bit interactions by providing a detailed account of events within a cylindrical control volume enveloping the drill, the cut bone chip within the drill bit flute, and the solid bone. Lumped parameter approach divides the control volume into a number of cells, and cells within the subvolumes representing the drill solid, the bone chip, and the bone solid are allowed to interact. The contact mechanics of rough surfaces is used to model chip–flute and chip–bone frictional interaction. In this way, not only the quantification of friction due to sliding contact of chip–flute and chip–bone rough surface contact is treated but also the contact thermal resistances between the rubbing surfaces are included in the model. A mixed combination of constant and adaptive mesh is employed to permit the simulation of the heat transfer as the drill bit penetrates deeper into the bone during a drilling process. Using the model, the effect of various parameters on the temperature rise in bone, drill, and the chip is investigated. It is found that maximum temperature within the bone occurs at the location adjacent to the corner of the drill-tip and drill body. The results of the model are found to agree favorably with the experimental measurements reported within the existing literature on surgical drilling.
A Model for the Prediction of Thermal Response of Bone in Surgical Drilling
Contributed by the Heat Transfer Division of ASME for publication in the JOURNAL OF THERMAL SCIENCE AND ENGINEERING APPLICATIONS. Manuscript received September 6, 2013; final manuscript received January 24, 2014; published online May 9, 2014. Assoc. Editor: Srinath V. Ekkad.
- Views Icon Views
- Share Icon Share
- Cite Icon Cite
- Search Site
Maani, N., Farhang, K., and Hodaei, M. (May 9, 2014). "A Model for the Prediction of Thermal Response of Bone in Surgical Drilling." ASME. J. Thermal Sci. Eng. Appl. December 2014; 6(4): 041005. https://doi.org/10.1115/1.4026625
Download citation file:
- Ris (Zotero)
- Reference Manager