Titanium Alloys: From Properties Prediction to Performance Optimization

Xu, Dongsheng; Wang, Hao; Zhang, Jinhu H.; Bai, Chunguang; Yang, Rui

doi:10.1007/978-3-319-50257-1_116-1

Cited by 1 publication

(1 citation statement)

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“…The forming process involves the coupling of deformation and phase transformation, so the forming process not only determines the final shape of the component but also has an important influence on its microstructure, properties, and distribution. Therefore, it needs to be accurately controlled [1,2]. Highquality aviation manufacturing, such as the design and processing of aircraft and engine components, is increasingly based on a large number of finite element simulations, all of which require accurate material rheological data [3][4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Nonnegligible Temperature Drop Induced by Thermocouple on Samples in Gleeble Tests

Zhao,

Ma,

Gao

et al. 2023

Metals

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High-temperature plastic deformation is one of the main methods for the fabrication of titanium-based alloys. Accurate determination of the mechanical constitutive relation is pivotal for the design, optimization, as well as the prediction of the mechanical behavior of materials. In this study, finite element simulations were carried out to simulate the Gleeble thermal compression experiment of titanium alloy samples, focusing on different thermocouple design parameters, including thermocouple material and wire diameter, etc. The results show that the heat dissipation of the thermocouple distorted the local temperature field of the contact point between the sample and the thermocouple, resulting in a deviation of the measured temperature. Through finite element method (FEM) simulation and analysis of the changes caused by various factors and comparison with the metallographic morphology of titanium alloy samples from relevant heat treatment experiments, it was shown that the material and wire diameter of the thermocouple, the thermal conductivity coefficient of sample, and the testing temperature of the sample all affected the measurement results. The thermal conductivity of sample had the largest influence on the measurement accuracy. Based on the finite element simulation and experimental comparison, the corresponding correction method and correction formula are proposed.

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