A risk-based decision making framework to analyze the properties of cobalt–chromium alloys

IF 1.3 4区材料科学 Q4 MATERIALS SCIENCE, MULTIDISCIPLINARY

Emerging Materials Research Pub Date : 2023-10-13 DOI:10.1680/jemmr.22.00220

Hilal Singer, Tijen Över Özçelik

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引用次数: 0

Abstract

In this study, the properties of cobalt–chromium alloys are systematically prioritized to aid in the minimization of orthopedic implant failures and risks in biomedical applications. Within the model, six main groups (including a total of 31 properties) are defined: economic aspects, design and production properties, mechanical properties, physical properties, chemical properties and biological properties. A risk-based fuzzy decision making framework is proposed for prioritization. First, a risk-management decision matrix is created by employing interval type-2 fuzzy failure modes and effects analysis. Afterward, the properties of cobalt–chromium alloys are analyzed by utilizing interval type-2 fuzzy measurement of alternatives and ranking according to compromise solution. In the last phase, a prediction model is devised with an adaptive network fuzzy inference system to save computational time and effort and to enable the incorporation of new scientific results into the biomaterial evaluation process. The results of the current study demonstrate that compatibility, osseointegration, corrosion resistance, fatigue resistance and time-dependent deformation are the top five properties contributing to potential orthopedic implant failures and risks. Furthermore, the developed model produces very satisfactory results with acceptable deviations. Consequently, this study presents a new and reliable guide for the unbiased evaluation of cobalt–chromium alloys.

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基于风险的钴铬合金性能分析决策框架

在这项研究中，钴铬合金的性能被系统地优先考虑，以帮助最大限度地减少骨科植入物失败和生物医学应用中的风险。在该模型中，定义了六个主要组(包括总共31个属性):经济方面、设计和生产属性、机械属性、物理属性、化学属性和生物属性。提出了一种基于风险的模糊优先级决策框架。首先，利用区间2型模糊失效模式和影响分析建立风险管理决策矩阵。然后，采用区间2型模糊替代测度法和折衷解排序法对钴铬合金的性能进行了分析。最后，采用自适应网络模糊推理系统设计预测模型，以节省计算时间和精力，并将新的科学成果纳入生物材料评估过程。目前的研究结果表明，相容性、骨整合性、耐腐蚀性、抗疲劳性和时间依赖性变形是导致骨科种植体潜在失败和风险的前五大特性。此外，所建立的模型在可接受的偏差范围内产生了非常令人满意的结果。因此，本研究为钴铬合金的公正评价提供了一种新的可靠的指导。

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来源期刊

Emerging Materials Research MATERIALS SCIENCE, MULTIDISCIPLINARY-

CiteScore

4.50

自引率

9.10%

发文量

期刊介绍： Materials Research is constantly evolving and correlations between process, structure, properties and performance which are application specific require expert understanding at the macro-, micro- and nano-scale. The ability to intelligently manipulate material properties and tailor them for desired applications is of constant interest and challenge within universities, national labs and industry.