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 t-test p-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.

中文翻译：

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飞机控制电缆材料特性的预测建模

目的

本研究旨在通过预测模型研究碳钢的材料性能与合金元素之间的关系。飞机控制电缆通常由钢制成，并由于诸如副翼，方向舵，升降舵和后缘襟翼等控制表面的运动而变形。因此，将研究材料性能与合金元素之间的关系。

设计/方法/方法

这项研究的重点是通过使用带有错误发现率（FDR）校正方法的响应表面方法对涉及合金元素含量的碳钢力学性能进行建模。SAS Institute JMP数据分析软件用于开发各种碳钢中的响应和参数关系，而没有考虑热机械处理效果。机械性能被认为是抗张强度，屈服强度，延展性和布氏硬度。从ASM手册中收集了碳（0.28 Wt。％-0.46 Wt。％）和锰（0.7 Wt。％-0.9 Wt。％）的比例。通过使用方差分析和统计显着性分析来检验线性回归模型的统计充分性。后验概率被称为Benjamini-Hochberg FDR（BH-FDR），被嵌入作为t检验p值的多重检验校正。

发现

通过使用BH-FDR显着性水平为0.05的响应面方法，成功实现了飞机控制电缆材料特性的预测建模。

创意/价值

经统计开发的合金元素图形交互作用对此类钢的通用机械性能的影响将为与材料供应商和零件制造商（进行热机械处理的除外）进行快速比较。