Study of microstructural evolution during static recrystallization in a low alloy steel

被引:60
作者
Lin, Y. C. [1 ]
Chen, Ming-Song [1 ]
机构
[1] Cent S Univ, Sch Mech & Elect Engn, Minist Educ, Key Lab Modern Complex Equipment Design & Extreme, Changsha 410083, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
ARTIFICIAL NEURAL-NETWORK; TEMPERATURE FLOW BEHAVIOR; DYNAMIC RECRYSTALLIZATION; 42CRMO STEEL; GRAIN-SIZE; PREDICTION; DEFORMATION; AUSTENITE; KINETICS;
D O I
10.1007/s10853-008-3120-1
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Hot compression tests of 42CrMo steel were carried out on Gleeble-1500 thermo-mechanical simulator. The effects of forming temperature, strain rate, deformation degree, and initial austenite grain size on the microstructural evolution during static recrystallization in hot deformed 42CrMo steel were discussed. Based on the experimental results, the grain size model for static recrystallization was established. It is found that the effects of the processing parameters on the microstructural evolution during static recrystallization are significant, while those of the initial austenitic grain size are not obvious. Additionally, a good agreement between the experimental and predicted grain sizes was also obtained.
引用
收藏
页码:835 / 842
页数:8
相关论文
共 24 条
[1]   Microstructural and textural characterization of a hot-rolled IF steel [J].
Cardoso Lins, Jefferson Fabricio ;
Sandim, Hugo Ricardo Z. ;
Kestenbach, Hans-Juergen .
JOURNAL OF MATERIALS SCIENCE, 2007, 42 (16) :6572-6577
[2]   Effect of δ-ferrite co-existence on hot deformation and recrystallization of austenite [J].
Dehghan-Manshadi, A. ;
Hodgson, P. D. .
JOURNAL OF MATERIALS SCIENCE, 2008, 43 (18) :6272-6277
[3]   Kinetics of metadynamic recrystallization in microalloyed hypereutectoid steels [J].
Elwazri, AM ;
Essadiqi, E ;
Yue, S .
ISIJ INTERNATIONAL, 2004, 44 (04) :744-752
[4]   Static recrystallization behaviour of a wide range of austenite grain sizes in microalloyed steels [J].
Fernández, AI ;
Uranga, P ;
López, B ;
Rodriguez-Ibabe, JM .
ISIJ INTERNATIONAL, 2000, 40 (09) :893-901
[5]   Artificial neural network modeling for the prediction of critical transformation temperatures in steels [J].
Garcia-Mateo, Carlos ;
Capdevila, Carlos ;
Garcia Caballero, Francisca ;
Garcia de Andres, Carlos .
JOURNAL OF MATERIALS SCIENCE, 2007, 42 (14) :5391-5397
[6]   Dynamic recrystallization behavior during compressive deformation in Mg-Al-Ca-RE alloy [J].
Hakamada, Masataka ;
Watazu, Akira ;
Saito, Naobumi ;
Iwasaki, Hajime .
JOURNAL OF MATERIALS SCIENCE, 2008, 43 (06) :2066-2068
[7]   Analysis of high temperature deformation behavior of a high Nb containing TiAl based alloy [J].
He, Xiaoming ;
Yu, Zhongqi ;
Lai, Xinmin .
MATERIALS LETTERS, 2008, 62 (26) :4181-4183
[8]   Mathematical modeling for high temperature flow behavior of as-cast Ti-45Al-8.5Nb-(W,B,Y) alloy [J].
He, Xiaoming ;
Yu, Zhongqi ;
Liu, Guiming ;
Wang, Wenge ;
Lai, Xinmin .
MATERIALS & DESIGN, 2009, 30 (01) :166-169
[9]   Prediction of the flow stress of 6061 Al-15% SiC - MMC composites using adaptive network based fuzzy inference system [J].
Kalaichelvi, V. ;
Sivakumar, D. ;
Karthikeyan, R. ;
Palanikumar, K. .
MATERIALS & DESIGN, 2009, 30 (04) :1362-1370
[10]   Influence of different initial microstructure on the process of spheroidization in cold forging [J].
Karadeniz, Erdal .
MATERIALS & DESIGN, 2008, 29 (01) :251-256