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基于混合层次分析法-多目标优化排序法的陶瓷基髋关节植入复合材料优化设计

Optimal Design of Ceramic Based Hip Implant Composites Using Hybrid AHP-MOORA Approach.

作者信息

Singh Tej, Goswami Chandramani, Patnaik Amar, Lendvai László

机构信息

Savaria Institute of Technology, Faculty of Informatics, Eötvös Loránd University, 9700 Szombathely, Hungary.

Department of Mechanical Engineering, Arya College of Engineering and Information Technology, Jaipur 302028, India.

出版信息

Materials (Basel). 2022 May 26;15(11):3800. doi: 10.3390/ma15113800.

DOI:10.3390/ma15113800
PMID:35683098
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9181206/
Abstract

Designing excellent hip implant composite material with optimal physical, mechanical and wear properties is challenging. Improper hip implant composite design may result in a premature component and product failure. Therefore, a hybrid decision-making tool was proposed to select the optimal hip implant composite according to several criteria that are probably conflicting. In varying weight proportions, a series of hip implant composite materials containing different ceramics (magnesium oxide, zirconium oxide, chromium oxide, silicon nitride and aluminium oxide) were fabricated and evaluated for wear and physicomechanical properties. The density, void content, hardness, indentation depth, elastic modulus, compressive strength, wear, and fracture toughness values were used to rank the hip implant composites. It was found that the density and void content of the biocomposites remain in the range of 3.920-4.307 g/cm and 0.0021-0.0089%, respectively. The composite without zirconium oxide exhibits the lowest density (3.920 g/cm), while the void content remains lowest for the composite having no chromium oxide content. The highest values of hardness (28.81 GPa), elastic modulus (291 GPa) and fracture toughness (11.97 MPa.m) with the lowest wear (0.0071 mm/million cycles) were exhibited by the composites having 83 wt.% of aluminium oxide and 10 wt.% of zirconium oxide. The experimental results are compositional dependent and without any visible trend. As a result, selecting the best composites among a group of composite alternatives becomes challenging. Therefore, a hybrid AHP-MOORA based multi-criteria decision-making approach was adopted to choose the best composite alternative. The AHP (analytic hierarchy process) was used to calculate the criteria weight, and MOORA (multiple objective optimisation on the basis of ratio analysis) was used to rank the composites. The outcomes revealed that the hip implant composite with 83 wt.% aluminium oxide, 10 wt.% zirconium oxide, 5 wt.% silicon nitride, 3 wt.% magnesium oxide, and 1.5 wt.% chromium oxide had the best qualities. Finally, sensitivity analysis was conducted to determine the ranking's robustness and stability concerning the criterion weight.

摘要

设计具有最佳物理、机械和磨损性能的优质髋关节植入复合材料具有挑战性。不当的髋关节植入复合材料设计可能会导致部件和产品过早失效。因此,提出了一种混合决策工具,以根据可能相互冲突的多个标准选择最佳的髋关节植入复合材料。以不同的重量比例制备了一系列含有不同陶瓷(氧化镁、氧化锆、氧化铬、氮化硅和氧化铝)的髋关节植入复合材料,并对其磨损和物理机械性能进行了评估。使用密度、孔隙率、硬度、压痕深度、弹性模量、抗压强度、磨损和断裂韧性值对髋关节植入复合材料进行排名。结果发现,生物复合材料的密度和孔隙率分别保持在3.920-4.307 g/cm和0.0021-0.0089%的范围内。不含氧化锆的复合材料密度最低(3.920 g/cm),而不含氧化铬的复合材料孔隙率最低。含有83 wt.%氧化铝和10 wt.%氧化锆的复合材料表现出最高的硬度值(28.81 GPa)、弹性模量(291 GPa)和断裂韧性(11.97 MPa·m),磨损最低(0.0071 mm/百万次循环)。实验结果取决于成分,没有任何明显的趋势。因此,在一组复合材料备选方案中选择最佳复合材料具有挑战性。因此,采用了一种基于层次分析法(AHP)-多目标优化排序法(MOORA)的混合多准则决策方法来选择最佳的复合材料备选方案。层次分析法(AHP)用于计算标准权重,多目标优化排序法(MOORA)用于对复合材料进行排名。结果表明,含有83 wt.%氧化铝、10 wt.%氧化锆、5 wt.%氮化硅、3 wt.%氧化镁和1.5 wt.%氧化铬的髋关节植入复合材料具有最佳性能。最后,进行了敏感性分析,以确定排名相对于标准权重的稳健性和稳定性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b31/9181206/e3ab4bcb006f/materials-15-03800-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b31/9181206/0a2127096293/materials-15-03800-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b31/9181206/06fbf1207ca1/materials-15-03800-g002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b31/9181206/e3ab4bcb006f/materials-15-03800-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b31/9181206/0a2127096293/materials-15-03800-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b31/9181206/06fbf1207ca1/materials-15-03800-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b31/9181206/a81534caef7a/materials-15-03800-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b31/9181206/e700fb3da7e9/materials-15-03800-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b31/9181206/e3ab4bcb006f/materials-15-03800-g005.jpg

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