A coupled thermal and metallurgical model for welding simulation of Ti-6Al-4V alloy
A coupled thermal and metallurgical model for welding simulation of Ti-6Al-4V alloy
复制标题
Ti-6Al-4V 合金焊接模拟的热金相耦合模型
DOI:
10.1016/j.jmatprotec.2014.05.011
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发表时间:
2014-11
影响因子:
6.3
通讯作者:
Yu, Fengyi
中科院分区:
文献类型:
--
作者:
Wei, Yanhong;Zhan, Xiaohong;Gu, Cheng;Yu, Fengyi
The accurate prediction of the mechanical behavior of welded components made of Ti–6Al–4V requires a particular material model considering the significant effects of the material behavior during welding. Especially, phase transformations are assumed to have an influence on the temperature distribution. The flow curves of the material are changed during welding by complex mechanisms which might be describable using time-temperature history dependent flow curves. The following paper shows (as a step forward), how the influence of phase transformations on the transient heat conduction in components made of Ti–6Al–4V during tungsten inert gas (TIG) arc welding is investigated using a coupled thermal and metallurgical model. Kinetics of α+β→β phase transformation during heating and β→α phase transformation during cooling are studied using the Johnson–Mehl–Avrami–Kolmogorov (JMAK) equation. A numerical heat transfer model is used to calculate the transient temperature field during welding. The thermal properties are calculated by a linear mixing rule based on the phase fractions and the thermal properties of each pure phase. Using these obtained thermal properties, the welding process of Ti–6Al–4V alloy is modeled using finite-elements for the spatial discretization and finite-differences to predict the transient temperature field. Additional calculations neglecting the phase changes are carried out to compare the temperatures and visualize the effects of phase transformations on the cooling behavior. The comparison of these models with measurements shows that the model considering the influence of solid phase transformations describes the temperature profile during cooling accurately.
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DOI:
--
发表时间:
2000
期刊:
--
影响因子:
--
作者:
S. Malinov;P. Markovsky;W. Sha;Z. Guo
通讯作者:
S. Malinov;P. Markovsky;W. Sha;Z. Guo
影响因子:
6.3
作者:
W. Szkliniarz;G. Smołka
通讯作者:
W. Szkliniarz;G. Smołka
DOI:
10.1007/s11661-001-0345-x
发表时间:
2001-04-01
影响因子:
2.8
作者:
Malinov, S;Guo, Z;Wilson, A
通讯作者:
Wilson, A
影响因子:
3.2
作者:
I. Dézsi;C. Fetzer;M. Kiss;S. Degroote;A. Vantomme
通讯作者:
I. Dézsi;C. Fetzer;M. Kiss;S. Degroote;A. Vantomme
DOI:
10.1002/0470014164
发表时间:
2004-05
期刊:
--
影响因子:
--
作者:
K. N. Seetharamu;R. Lewis;P. Nithiarasu
通讯作者:
K. N. Seetharamu;R. Lewis;P. Nithiarasu