Modeling of the precipitation kinetics and morphology evolution of lamellar α in Ti-alloys during non-isothermal treatments

被引:1
作者
Liu, Xueyan [1 ,2 ]
Li, Hongwei [1 ,2 ]
Zhan, Mei [1 ,2 ]
机构
[1] Northwestern Polytech Univ, Sch Mat Sci & Engn, State Key Lab Solidificat Proc, POB 542, Xian 710072, Peoples R China
[2] Northwestern Polytech Univ, Shaanxi Key Lab High Performance Precis Forming T, POB 542, Xian 710072, Peoples R China
基金
中国国家自然科学基金;
关键词
non-isothermal transformation; temperature history effect; kinetics; cellular automaton; titanium alloy; anisotropic morphology evolution; PHASE-TRANSFORMATION KINETICS; DIFFUSION-CONTROLLED GROWTH; GENERALIZED ADDITIVITY RULE; HEAT-TREATMENT; BETA;
D O I
10.1088/1361-651X/ac4c97
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The non-isothermal diffusional phase transformation plays an important role in adjusting materials microstructure. In the modeling of non-isothermal transformation, actual temperature history has a remarkable effect on the precipitation kinetics of new phase. When morphology anisotropy effect is considered, taking actual temperature history effect into account is very difficult for guaranteeing the accuracy of kinetics prediction. In order to solve this problem, a new non-isothermal transformation model in combination with cellular automaton (CA) method with mixed-controlled mode was proposed. In this new model, actual temperature history effect was characterized by the effects of cooling path and additive isothermal path on the nucleation and growth of new phase. Firstly, the cooling path with the consideration of supercooling effect was introduced into the created isothermal transformation theory model. Secondly, the temperature-time path (i.e. additive isothermal path) in CA model was calibrated by using the solute concentration model from experiments. With the use of this new model, the precipitation kinetics and morphology evolution of the lamellar alpha for IMI834 titanium alloy during continuous cooling from single-phase region was predicted. The predicted results were in good agreement with experiments. It was also revealed that the dominant role of mixed-controlled mode for lamellar alpha precipitation was gradually changed from the diffusion control to the interface control with the increase of cooling rate.
引用
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页数:20
相关论文
共 41 条
[1]   A cellular automaton model integrated with CALPHAD-based thermodynamic calculations for ferrite-austenite phase transformations in multicomponent alloys [J].
An, Dong ;
Chen, Shuanglin ;
Sun, Dongke ;
Pan, Shiyan ;
Krakauer, Bruce W. ;
Zhu, Mingfang .
COMPUTATIONAL MATERIALS SCIENCE, 2019, 166 :210-220
[2]   Modelling of phase transformation kinetics in Ti alloys -: Isothermal treatments [J].
Appolaire, B ;
Héricher, L ;
Aeby-Gautier, E .
ACTA MATERIALIA, 2005, 53 (10) :3001-3011
[3]   A phase-field study on the evolution of Widmanstatten-ferrite plates under mixed-mode of transformation [J].
Bhattacharya, Avisor ;
Mondal, Kallol ;
Upadhyay, C. S. ;
Sangal, Sandeep .
COMPUTATIONAL MATERIALS SCIENCE, 2020, 180
[4]   A phase-field investigation of the effect of grain-boundary diffusion on austenite to ferrite transformation [J].
Bhattacharya, Avisor ;
Mondal, Kallol ;
Upadhyay, C. S. ;
Sangal, S. .
COMPUTATIONAL MATERIALS SCIENCE, 2020, 173
[5]   TRANSFORMATION KINETICS DURING CONTINUOUS COOLING [J].
CAHN, JW .
ACTA METALLURGICA, 1956, 4 (06) :572-575
[6]   A general mixed-mode model for the austenite-to-ferrite transformation kinetics in Fe-C-M alloys [J].
Chen, Hao ;
van der Zwaag, Sybrand .
ACTA MATERIALIA, 2014, 72 :1-12
[7]   A Modified Approach to Modeling of Diffusive Transformation Kinetics from Nonisothermal Data and Experimental Verification [J].
Chen, Xiangjun ;
Xiao, Namin ;
Cai, Minghui ;
Li, Dianzhong ;
Li, Guangyao ;
Sun, Guangyong ;
Rolfe, Bernard F. .
METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE, 2016, 47A (09) :4732-4740
[8]  
Christian J W, 2002, THEORY TRANSFORMATIO
[9]  
ENOMOTO M, 1994, TETSU TO HAGANE, V80, P653
[10]   A numerical model coupling phase transformation to predict microstructure evolution and residual stress during quenching of 1045 steel [J].
Esfahani, Ali Kouhi ;
Babaei, Mahdi ;
Sarrami-Foroushani, Saeid .
MATHEMATICS AND COMPUTERS IN SIMULATION, 2021, 179 :1-22