Influence of parameters on temperature rise and chips morphology in low-frequency vibration-assisted bone drilling

Han, Ying; Lv, Qinjing; Song, Yixuan; Zhang, Qinhe

doi:10.1016/j.medengphy.2022.103791

Cited by 11 publications

(4 citation statements)

References 30 publications

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“…Consequently, the friction with vibration assistance can interrupt the continuous accumulation of the friction heat and promoted its dissipation. The temperature during vibration assistance drilling analyzed by Han et al [26] confirmed the phenomenon. According to the results in figures 6(a) and (b), the friction temperature was influenced by load and sliding speed.…”

Section: Discussionmentioning

confidence: 72%

“…Vibration-assisted machining is a method of adding vibrating movement to the tool or the workpiece. The interrupted contact can reduce the generation of friction heat, which has been proven by many experimental studies [22][23][24][25][26]. While, the mechanism of friction reduction with vibration assisted condition was rarely studied.…”

Section: Mechanism Of Friction Reduction With Vibration Assistancementioning

confidence: 99%

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Tribological characterization of cortical bone against 316 stainless steel during dry sliding

Han¹,

Lv²,

Song³

et al. 2022

Surf. Topogr.: Metrol. Prop.

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In surgery, the friction between the cortical bone and the metal instruments cause bone cells damage, which would affect the stability of intraosseous implants. In the present work, the tribological characterization of cortical bone against 316 stainless steel during dry sliding condition was investigated by pin-on-disk tests. Finite element method was used to monitor the change of friction temperature with vibration assistance. The wear mechanism of the bone sample and the 316 stainless steel had been analyzed and discussed. The results show that the friction coefficient decrease with the increasing of load, the wear rate and the friction temperature increase. While, the friction coefficient, the wear rate and the friction temperature are increased with the increase of sliding speed, respectively. Moreover, the friction temperature with vibration assisted is lower than that in the normal friction process. Adhesive and abrasive wear behavior are the main wear mechanisms of the cortical bone against 316 stainless steel during the test. The results in this paper provide guidance for the selection of parameters during bone cutting, which has great significance for the improvement of implant stability.

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Section: Discussionmentioning

confidence: 72%

Section: Mechanism Of Friction Reduction With Vibration Assistancementioning

confidence: 99%

Tribological characterization of cortical bone against 316 stainless steel during dry sliding

Han¹,

Lv²,

Song³

et al. 2022

Surf. Topogr.: Metrol. Prop.

Self Cite

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“…It is crucial to emphasize the significance of reliable bone surgeries, especially in robot-assisted procedures [16][17][18][19][20]. This research highlights the potential of the proposed model in achieving precise temperature control during bone drilling, which could significantly contribute to the success and safety of such surgical interventions.…”

Section: Optimization Of Process Temperature In Bone Drillingmentioning

confidence: 89%

Quantifying the Impact of Drilling Parameters on Temperature Elevation within Bone during the Process of Implant Site Preparation

Md Ashequl Islam,

Nur Saifullah Kamarrudin,

Ruslizam Daud

et al. 2024

ARAM

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This study aimed to elucidate the influences of several drilling parameters on bone temperature during drilling, as excessive heat generation can cause thermal bone damage and affect post-surgery recovery. In vitro drilling tests were conducted on bovine femoral shaft cortical bone specimens. The parameters considered included tool rotational speed (s), feed rate (f), tool diameter (d), and drill tip angles of 118° and 135°. Drilling temperatures were studied across a range of 800–2000 rpm rotational speeds, 20–40 mm/min feed rates, and 2–4 mm drill diameters. A predictive statistical model was constructed using the response surface methodology (RSM). Analysis of variance (ANOVA) at a 95% confidence level (α = 0.05) revealed that rotational speed significantly impacted temperature increase, contributing to 59.74% of observed temperature rises. Drill diameter accounted for 16.21% of temperature variations, while feed rate contributed to 10.04% of the temperature rises. The study provides valuable insights into the predominant factors affecting bone temperature during drilling. Understanding these parameters and their interplay is pivotal for optimizing drilling conditions and minimizing potential thermal damage to bones.

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“…Thus, the effectiveness of the drilling largely relies on the surgeon's skill and their ability to gauge the drilling process based on their perception [3]. The force experienced by the surgeon during drilling is subjective, as it depends on factors such as the speed of the drill bit, the condition of the bone, and the type of drill bit employed [4,5].…”

Section: Introductionmentioning

confidence: 99%

Bone Drilling: A Review with a Lab Case Study of Bone Layer Classification Using Vibration Signal and Long Short-Term Memory

Caesarendra

2024

Preprint

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In orthopedics, bone drilling is a crucial part of a surgical method commonly carried out for internal fixation in bone fracture treatment. The primary purpose of bone drilling is the creation of holes for screw insertion to immobilize fractured parts. The bone drilling task depends on the orthopedist and surgeon’s high level of skill and experience. This paper aimed to provide a summary of previously published review studies in the field of bone drilling. This review paper also presents a comprehensive review of the application of machine learning for bone drilling and as a future direction for the automation system. This review can also help medical surgeons and bone drillers understand the latest improvements through parameter selection and optimization strategies to reduce bone damage in bone drilling procedures. Apart from the review study, bone drilling vibration data collected in the University laboratory experiment is also presented in this study. The vibration data consist of three different layers of femur cow bone which are processed and classified using several machine learning methods. LSTM is, used in the bone drilling classification study to prove that the layers of the bone drilling are associated with the vibration signal and can be classified and predicted using the machine learning method.

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Influence of parameters on temperature rise and chips morphology in low-frequency vibration-assisted bone drilling

Cited by 11 publications

References 30 publications

Tribological characterization of cortical bone against 316 stainless steel during dry sliding

Tribological characterization of cortical bone against 316 stainless steel during dry sliding

Quantifying the Impact of Drilling Parameters on Temperature Elevation within Bone during the Process of Implant Site Preparation

Bone Drilling: A Review with a Lab Case Study of Bone Layer Classification Using Vibration Signal and Long Short-Term Memory

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