Analysis and optimization of cortical bone drilling process based on stochastic optimization.

IF 1.7 4区 医学 Q3 ENGINEERING, BIOMEDICAL
Ghodratollah Taheri, Reza Saeidi Abueshaghi, Farbod Setoudeh, Vahid Tahmasbi, Mohammad Mohammadian
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引用次数: 0

Abstract

The process of bone drilling is essential in orthopedic surgery and fracture treatment, involving the machining of anisotropic composite materials that exhibit significant hardness and strength. This technique is commonly employed to access underlying tissues, place implants, or remove damaged tissue. However, the challenging nature of this process can lead to high shear forces and elevated temperatures, which pose a risk of thermal necrosis - a condition that damages bone tissue due to excessive heat generated during surgery. When drilling temperatures exceed the critical threshold of 47°C, it can result in the death of bone tissue cells, contributing to micro-cracks, and layering within the bone structure. This study examines the effects of key drilling parameters - rotational speed, feed rate, and tool diameter - and is divided into two main sections: laboratory experiments and statistical modeling using Analysis of Variance (ANOVA). A sensitivity analysis was also performed to assess how optimal parameter values influence output temperature. The results emphasize the significance of temperature control during the drilling process and demonstrate that optimizing these parameters greatly improves bone drilling procedures.To manage temperature effectively, researchers employed the Simultaneous Perturbation Stochastic Approximation (SPSA) optimization algorithm, recognized for its high accuracy and efficiency. Laboratory drilling tests were carried out using the optimal values derived from this optimization process, confirming its effectiveness. Additionally, the findings indicate that temperature fluctuations are influenced by the type of bone, its softness or hardness, and the inherent properties of anisotropic composite materials, which can also contribute to higher temperatures during drilling. Overall, this research underscores the vital importance of parameter optimization in enhancing outcomes in orthopedic applications and reducing the risks associated with thermal necrosis.

基于随机优化的皮质骨钻孔工艺分析与优化。
骨钻孔工艺在骨科手术和骨折治疗中是必不可少的,涉及到具有显著硬度和强度的各向异性复合材料的加工。该技术通常用于接触底层组织,放置植入物或去除受损组织。然而,这一过程的挑战性会导致高剪切力和高温,从而带来热坏死的风险——一种由于手术过程中产生的过多热量而损害骨组织的情况。当钻孔温度超过47°C的临界阈值时,可能导致骨组织细胞死亡,导致骨结构内部出现微裂纹和分层。该研究考察了关键钻井参数(转速、进给速率和工具直径)的影响,并分为两个主要部分:实验室实验和使用方差分析(ANOVA)的统计建模。还进行了敏感性分析,以评估最佳参数值如何影响输出温度。结果强调了钻孔过程中温度控制的重要性,并表明优化这些参数大大改善了骨钻孔过程。为了有效地管理温度,研究人员采用了同时摄动随机近似(SPSA)优化算法,该算法具有较高的精度和效率。利用该优化过程得出的最优值进行了室内钻井试验,验证了其有效性。此外,研究结果表明,温度波动受骨骼类型、其软硬度以及各向异性复合材料的固有特性的影响,这些也会导致钻孔过程中的温度升高。总的来说,这项研究强调了参数优化在提高骨科应用结果和降低热坏死相关风险方面的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.60
自引率
5.60%
发文量
122
审稿时长
6 months
期刊介绍: The Journal of Engineering in Medicine is an interdisciplinary journal encompassing all aspects of engineering in medicine. The Journal is a vital tool for maintaining an understanding of the newest techniques and research in medical engineering.
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