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
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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
Yu, Fengyi
中科院分区:
材料科学1区
文献类型:
--
作者:
Wei, Yanhong;Zhan, Xiaohong;Gu, Cheng;Yu, Fengyi

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要准确预测Ti-6Al-4V焊接构件的力学行为,需要建立一个特殊的材料模型,考虑焊接过程中材料行为的显著影响。特别地,相变被假定为对温度分布有影响。材料的流动曲线在焊接期间通过复杂的机制而改变,该机制可以使用时间-温度历史相关的流动曲线来描述。下面的文件显示(作为一个进步),如何在钨极惰性气体保护焊(TIG)电弧焊过程中的瞬态热传导的Ti-6Al-4V制成的组件的相变的影响进行了研究,使用耦合的热和冶金模型。用Johnson-Mehl-Avrami-Kolmogorov(JMAK)方程研究了加热过程中α+β→β相变和冷却过程中β→α相变的动力学。采用数值传热模型计算了焊接过程中的瞬态温度场。热性能计算的基础上的相分数和每个纯相的热性能的线性混合规则。利用所获得的热物性数据,采用有限元法对Ti-6Al-4V合金的焊接过程进行了空间离散,并采用有限差分法对焊接过程的瞬态温度场进行了预测。进行忽略相变的额外计算以比较温度并可视化相变对冷却行为的影响。将这些模型与实测数据进行比较,结果表明,考虑固相转变影响的模型能较准确地描述冷却过程中的温度分布。
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.
DOI: --
发表时间: 2000
期刊: --
影响因子: --
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