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人体骨旋转超声骨钻过程中升温的体外研究。

An in-vitro study of temperature rise during rotary ultrasonic bone drilling of human bone.

机构信息

Department of Mechanical Engineering, Indian Institute of Technology Delhi, India.

Department of Mechanical Engineering, Indian Institute of Technology Delhi, India.

出版信息

Med Eng Phys. 2020 May;79:33-43. doi: 10.1016/j.medengphy.2020.03.002. Epub 2020 Mar 13.

Abstract

Temperature rise in surgical bone drilling is an important factor that leads to death of the bone cells, known as Osteonecrosis, and results into poor osteosynthesis i.e. implant failure. The present work aims to study the temperature rise during bone drilling by a recently developed operation theatre (OT) compatible machine. The temperature during the drilling process was recorded from K-type thermocouple devices, which were embedded in the human tibial bone at four different positions (at 0.5 mm, 1.0 mm, 1.5 mm, and 2.0 mm) from the drilling site. Comparative study revealed that rotary ultrasonic bone drilling (RUBD) technique produced lesser temperature (40 - 50%) than conventional drilling on human tibia. Statistical model was developed to predict the temperature rise in RUBD process using response surface methodology (RSM), and the optimum parameters were determined using Genetic Algorithm. Analysis of variance (ANOVA) was carried out at a confidence interval of 95 percent (α = 0.05) to determine the influence of various drilling parameters such as rotational speed, feed rate, drill diameter and abrasive particle size on temperature rise. It was observed that the rotational speed was responsible for the maximum temperature rise (51.8%) followed by drill diameter (18.8%), and abrasive particle size (14.3%); whereas, the feed rate contributed minimal (4%) temperature rise.

摘要

在外科骨钻手术中,温度升高是导致骨细胞死亡的一个重要因素,这种现象被称为骨坏死,会导致骨合成不良,即植入物失败。本工作旨在研究一种新开发的手术室(OT)兼容机器在骨钻手术过程中的温升。通过在人体胫骨的四个不同位置(钻孔处 0.5mm、1.0mm、1.5mm 和 2.0mm 处)嵌入 K 型热电偶设备来记录钻孔过程中的温度。对比研究表明,与传统的胫骨钻孔相比,旋转超声骨钻(RUBD)技术产生的温度(40-50%)更低。使用响应面法(RSM)开发了预测 RUBD 过程中温升的统计模型,并使用遗传算法确定了最佳参数。在置信区间为 95%(α=0.05)下进行方差分析(ANOVA),以确定各种钻孔参数(如转速、进给率、钻头直径和磨料粒径)对温升的影响。结果表明,转速是导致最大温升(51.8%)的主要因素,其次是钻头直径(18.8%)和磨料粒径(14.3%);而进给率对温升的贡献最小(4%)。

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