Ti42Nb42Mo6Fe5Cr5 复合浓缩合金的摩擦学行为及基于响应面方法的数学建模预测

Dharmendra K. Yadav , Ashim B. Mandal , Pushpendra Sharde , Lakhindra Marandi , Subhasis Sinha
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引用次数: 0

摘要

本研究利用真空电弧熔炼技术开发了一种新型 Ti42Nb42Mo6Fe5Cr5 复合浓缩合金(CCA)。铸件 CCA 经过了两阶段热处理。在第一阶段热处理(HT 1)中,合金被加热到 900˚C。随后,在第二阶段热处理(HT 2)中,HT 1 样品在不同温度下退火 20 小时,包括 700˚C、900˚C 和 1100˚C。对铸件、HT 1 和 HT 2(退火)样品的微观结构和机械响应进行了深入研究。采用 XRD 和 SEM-EDS 分析了相演化、微观结构和化学成分。XRD 分析显示了主要的固溶 BCC 相(BCC 1 和 BCC 2)和少量的 Laves 相;然而,Laves 相的数量随着退火温度的升高而增加。使用仪器显微压痕法评估了 CCA 试样的显微硬度和弹性模量。在 1100˚C 下退火的 CCA 显微硬度和弹性模量最高,分别为 5.94 ± 0.38 GPa 和 124.40 ± 7.17 GPa。采用响应面方法 (RSM) 建立了一个数学模型,旨在预测摩擦学特性,特别是特定磨损率 (SWR) 和摩擦系数 (COF)。RSM 提出了一个二次模型来表示用于评估 SWR 和 COF 的输入参数之间的数学关系。采用可取函数法优化输入参数,以最小化 SWR 和 COF。在负载为 27.52 N、振荡频率为 2.86 Hz、退火温度为 1100 C 的条件下,SWR 和 COF 的优化值分别为 6.87 × 10-4 mm3/N.m 和 0.30。使用扫描电镜和轮廓仪对磨损表面进行了表面形貌分析,以了解磨损机理和表面特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tribological behavior of a Ti42Nb42Mo6Fe5Cr5 complex concentrated alloy and prediction through response surface methodology based mathematical modeling

In the present work, a novel Ti42Nb42Mo6Fe5Cr5 complex concentrated alloy (CCA) was developed using the vacuum arc melting technique. The as-cast CCA underwent a two-stage heat treatment process. In the first stage of heat treatment (HT 1), the alloy was heated to 900˚C. Subsequently, in the second stage of heat treatment (HT 2), the HT 1 samples were annealed at various temperatures, including 700˚C, 900˚C, and 1100˚C, for 20 h. The microstructure and mechanical response of the as-cast, HT 1 and HT 2 (annealed) samples were thoroughly investigated. The phase evolution, microstructure, and chemical composition were analyzed using XRD and SEM-EDS. The XRD analysis revealed major solid solution BCC phases (BCC 1 and BCC 2) with a small amount of Laves phase; however, the amount of Laves phase increased with increase in annealing temperature. The microhardness and elastic modulus of the CCA specimens were evaluated using instrumented micro-indentation. The CCA annealed at 1100˚C exhibits the highest microhardness and elastic modulus, with values of 5.94 ± 0.38 GPa and 124.40 ± 7.17 GPa, respectively. Response surface methodology (RSM) was used to develop a mathematical model aimed at predicting tribological characteristics, specifically the specific wear rate (SWR) and coefficient of friction (COF). RSM proposes a quadratic model to represent the mathematical relationship between input parameters for evaluating SWR and COF. The desirability function approach is employed to optimize input parameters to minimize both SWR and COF. The optimized values of SWR and COF are 6.87 × 10−4 mm3/N.m and 0.30 under a 27.52 N load, 2.86 Hz oscillation frequency, and 1100˚C annealing temperature. Surface topography analysis of the worn surface was evaluated using SEM and a profilometer to understand the wear mechanism and surface characteristics.

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