基于灰色关联分析的骨钻孔多质量特性优化
Optimization of multiple quality characteristics in bone drilling using grey relational analysis.
作者信息
Pandey Rupesh Kumar, Panda Sudhansu Sekhar
机构信息
Department of Mechanical Engineering, Indian Institute of Technology Patna, Patna 800013, India.
出版信息
J Orthop. 2014 Jul 17;12(1):39-45. doi: 10.1016/j.jor.2014.06.003. eCollection 2015 Mar.
PURPOSE
Drilling of bone is common during bone fracture treatment to fix the fractured parts with screws wires or plates. Minimally invasive drilling of the bone has a great demand as it helps in better fixation and quick healing of the broken bones. The purpose of the present investigation is to determine the optimum cutting condition for the minimization of the temperature, force and surface roughness simultaneously during bone drilling.
METHOD
In this study, drilling experiments have been performed on bovine bone with different conditions of feed rate and drill rotational speed using full factorial design. Optimal level of the drilling parameters is determined by the grey relational grade (GRG) obtained from the GRA as the performance index of multiple quality characteristics. The effect of each drilling parameter on GRG is determined using analysis of variance (ANOVA) and the results obtained are validated by confirmation experiment.
RESULTS
Grey relational analysis showed that the investigation with feed rate of 40 mm/min and spindle speed of 500 rpm has the highest grey relational grade and is recommended setting for minimum temperature, force and surface roughness simultaneously during bone drilling. Feed rate has the highest contribution (59.49%) on the multiple performance characteristics followed by the spindle speed (37.69%) as obtained from ANOVA analysis.
CONCLUSIONS
The use of grey relational analysis will simplify the complex process of optimization of the multi response characteristics in bone drilling by converting them into a single grey relational grade. The use of the above suggested methodology can greatly minimize the bone tissue injury during drilling.
目的
在骨折治疗过程中，对骨骼进行钻孔操作很常见，以便用螺钉、金属丝或钢板固定骨折部位。由于微创骨钻孔有助于更好地固定骨折部位并促进断骨快速愈合，因此对其有很大需求。本研究的目的是确定在骨钻孔过程中同时将温度、力和表面粗糙度降至最低的最佳切削条件。
方法
在本研究中，采用全因子设计，在不同进给速度和钻头转速条件下对牛骨进行钻孔实验。以灰色关联分析（GRA）得到的灰色关联度（GRG）作为多质量特性的性能指标，确定钻孔参数的最佳水平。使用方差分析（ANOVA）确定每个钻孔参数对GRG的影响，并通过验证实验对所得结果进行验证。
结果
灰色关联分析表明，进给速度为40毫米/分钟、主轴转速为500转/分钟的实验具有最高的灰色关联度，建议在骨钻孔过程中同时将温度、力和表面粗糙度降至最低时采用该设置。根据方差分析，进给速度对多性能特性的贡献最大（59.49%），其次是主轴转速（37.69%）。
结论
灰色关联分析的使用将通过将多响应特性转化为单一的灰色关联度，简化骨钻孔中多响应特性优化的复杂过程。使用上述建议方法可在很大程度上减少钻孔过程中的骨组织损伤。
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