Experimental Analysis of Robotic Cortical Bone Specimen Drilling Performance: Effect of CryogenSource: Journal of Biomechanical Engineering:;2024:;volume( 146 ):;issue: 011::page 111007-1DOI: 10.1115/1.4066022Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In orthopedic surgery, precise bone screw insertion is crucial for stabilizing fractures, necessitating a preliminary cortical bone drilling procedure. However, this process can induce temperatures exceeding 70 °C due to the low thermal conductivity of cortical bone, potentially leading to thermal osteonecrosis. Furthermore, significant cutting forces and torque pose risks of tool breakage and bone damage, underlining the need for high precision and optimal processing parameters. Traditionally, drilling relies on the surgeon's experience and often results in imprecise outcomes due to inconsistent feed rates. Therefore, this study proposes the use of a 6-axis robot for controlled drilling, offering precise control over angular velocities and consistent feed rates. Additionally, explore the use of cryogenic liquid nitrogen (LN2) as a novel cooling method compared to conventional saline solutions, examining its efficacy under various cutting conditions. The results demonstrate that LN2 cooling conditions lead to a reduction in thrust and torque under specific processing conditions, and facilitate smoother chip evacuation. Additionally, LN2 significantly lowers the peak temperature around the drilling site, thus minimizing the risk of thermal osteonecrosis. Consequently, the use of a 6-axis robot provides consistent feed rates, and LN2 cooling achieves optimal processing conditions, enabling a more controlled and effective drilling process.
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contributor author | Ha, Ju-Hyung | |
contributor author | Choe, Joon-Hyeok | |
contributor author | Seo, Jae-Woo | |
contributor author | Kim, Ji-Soo | |
contributor author | Kim, Dong Min | |
date accessioned | 2024-12-24T18:39:07Z | |
date available | 2024-12-24T18:39:07Z | |
date copyright | 8/20/2024 12:00:00 AM | |
date issued | 2024 | |
identifier issn | 0148-0731 | |
identifier other | bio_146_11_111007.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4302504 | |
description abstract | In orthopedic surgery, precise bone screw insertion is crucial for stabilizing fractures, necessitating a preliminary cortical bone drilling procedure. However, this process can induce temperatures exceeding 70 °C due to the low thermal conductivity of cortical bone, potentially leading to thermal osteonecrosis. Furthermore, significant cutting forces and torque pose risks of tool breakage and bone damage, underlining the need for high precision and optimal processing parameters. Traditionally, drilling relies on the surgeon's experience and often results in imprecise outcomes due to inconsistent feed rates. Therefore, this study proposes the use of a 6-axis robot for controlled drilling, offering precise control over angular velocities and consistent feed rates. Additionally, explore the use of cryogenic liquid nitrogen (LN2) as a novel cooling method compared to conventional saline solutions, examining its efficacy under various cutting conditions. The results demonstrate that LN2 cooling conditions lead to a reduction in thrust and torque under specific processing conditions, and facilitate smoother chip evacuation. Additionally, LN2 significantly lowers the peak temperature around the drilling site, thus minimizing the risk of thermal osteonecrosis. Consequently, the use of a 6-axis robot provides consistent feed rates, and LN2 cooling achieves optimal processing conditions, enabling a more controlled and effective drilling process. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Experimental Analysis of Robotic Cortical Bone Specimen Drilling Performance: Effect of Cryogen | |
type | Journal Paper | |
journal volume | 146 | |
journal issue | 11 | |
journal title | Journal of Biomechanical Engineering | |
identifier doi | 10.1115/1.4066022 | |
journal fristpage | 111007-1 | |
journal lastpage | 111007-14 | |
page | 14 | |
tree | Journal of Biomechanical Engineering:;2024:;volume( 146 ):;issue: 011 | |
contenttype | Fulltext |