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Predictive modeling of material properties for aircraft control cables

机译:飞机控制电缆材料特性的预测建模

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Purpose - This study aims to investigate the relationship between material properties and alloying elements of carbon steels through predictive modeling. Aircraft control cables are usually made of steel materials and subjected to deformation because of the motion of control surfaces such as aileron, rudder, elevator and trailing edge flaps. Investigation of the relationship between material properties and alloying elements would therefore be explored. Design/methodology/approach - This study is focused on the modeling of mechanical properties of carbon steels concerning the content of alloying elements by using response surface methodology with false discovery rate (FDR) correction approach. SAS Institute JMP data analysis software was used to develop response and argument relationships in various carbon steels without including thermomechanical treatment effect. Mechanical properties were considered as tensile strength, yield strength, ductility, and Brinell hardness. Carbon (0.28 Wt.%-0.46 Wt.%) and manganese (0.7 Wt.%-0.9 Wt.%) proportions were gathered from ASM Handbook. Linear regression models were tested for the statistical adequacy by using analysis of variance and statistical significance analysis. A posterior probability, which refers to Benjamini-Hochberg FDR (BH-FDR), was embedded as multiple testing corrections of the f-testp-values. Findings - Predictive modeling of the material properties for aircraft control cables was successfully achieved by using the response surface method with BH-FDR significance level of 0.05. Originality/value - The effect of statistically developed graphical interactions of alloying elements on the common mechanical properties of such steels would provide prompt comparison to material suppliers and part manufacturers except those subjected to thermomechanical treatment applications.
机译:目的 - 本研究旨在通过预测建模研究材料特性与碳钢的合金元素之间的关系。飞机控制电缆通常由钢材制成并经受变形,因为控制表面如Aileron,舵,电梯和后缘襟翼。因此,探索对材料性质和合金元素之间的关系的研究。设计/方法/方法 - 本研究专注于通过使用响应表面方法与虚假发现速率(FDR)校正方法使用响应表面方法的碳钢的机械性能的建模。 SAS Institute JMP数据分析软件用于在各种碳钢中的响应和争论关系,而不包括热机械处理效果。机械性能被认为是拉伸强度,屈服强度,延展性和Brinell硬度。碳(0.28重量% - 0.46重量%)和锰(0.7重量% - 0.9重量%)从ASM手册中收集比例。通过使用差异分析和统计显着性分析来测试线性回归模型进行统计充分性。作为Benjamini-Hochberg FDR(BH-FDR)的后验概率被嵌入为F-Testp值的多个测试校正。结果 - 通过使用BH-FDR显着性水平为0.05的响应表面方法,成功实现了飞机控制电缆材料特性的预测建模。原创性/值 - 统计上开发了合金元素对这种钢的公共机械性能的图形相互作用将提供与材料供应商和部件制造商的迅速比较,除了进行热机械处理应用。

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