Experimental investigation on the effect of drill quality on the performance of bone drilling
-
Khurshid Alam
,
Sujan Piya
Abstract
Bone drilling is a well-known process in operative fracture treatment and reconstructive surgery. The cutting ability of the drill is lost when used for multiple times. In this study, the effect of different levels of drill wear on bone temperature, drilling force, torque, delamination around the drilling region and surface roughness of the hole was investigated using a series of experiments. Experimental results demonstrated that the wear of the drill is strongly related to the drilling force, torque, temperature and surface roughness of the drilled hole. Statistical analysis was performed to find the effect of various factors on multiple response variables in the bone drilling process. The favorable conditions for bone drilling are obtained when feed rate, drill speed and the roughness of the cutting edge of the drill were fixed at 30 mm, 2000 rpm and up to 2 mm, respectively. Further, analysis of variance (ANOVA) was performed to determine the factor with a significant impact on the response variables. F-test and p-value indicated that the feed rate had the highest effect on grey relational grade followed by the roughness of the drill. This study suggests that the sharp drill along with controlled drilling speed and feed rate may be used for safe and efficient surgical drilling in bone.
Acknowledgments
The authors are thankful to Mr. Jagpal Singh for his support in drill surface roughness measurements.
Author Statement
Research funding: The research work was supported by the internal research grant (grant no.: IG/ENG/MIED/16/02) from Sultan Qaboos University. This support is gratefully acknowledged.
Conflict of interest: None to declare.
Informed consent: Informed consent is not applicable.
Ethical approval: The conducted research is not related to either human or animal use.
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Articles in the same Issue
- Frontmatter
- Review
- Radioguided surgery: physical principles and an update on technological developments
- Research articles
- EOG-based eye movement recognition using GWO-NN optimization
- Effective brain connectivity estimation between active brain regions in autism using the dual Kalman-based method
- Epileptic seizure detection on EEG signals using machine learning techniques and advanced preprocessing methods
- Pattern recognition of head movement based on mechanomyography and its application
- A novel approach to the diagnostic assessment of carpal tunnel syndrome based on the frequency domain of the compound muscle action potential
- Automatic hypernasality grade assessment in cleft palate speech based on the spectral envelope method
- Multimodal feature learning and fusion on B-mode ultrasonography and sonoelastography using point-wise gated deep networks for prostate cancer diagnosis
- Automatic analysis of image quality by ETR-1 for the On-Board Imager
- An improved method to isolate primary human osteocytes from bone
- Experimental investigation on the effect of drill quality on the performance of bone drilling
