The true stress-strain curve of hot deformation of TA15 alloy was constructed through the hot compression test. The constitutive equations for hot deformation in the temperature range of the dual-phase region and single-phase region of the alloy were then established. A dynamic recrystallization model of TA15 alloy was established based on the statistical data of dynamic recrystallization of hot compressed samples. With the help of the secondary development function provided by Deform, programming of related mathematical models was realized, the experimental plan was formulated by the orthogonal method, and then simulation of the microstructure evolution of the multi-directional forging deformation of the dual-phase region and single-phase region of TA15 alloy was realized. Through analysis of the orthogonal experiment results, the objects under the influence of various factors and the influence degree of the factors were obtained, and the optimal combination of factors for multi-directional forging in the temperature range of the dual-phase region and the single-phase region was proposed. A Back Propagation (BP) neural network prediction model for the multi-directional forging deformation microstructure of TA15 alloy was established. The prediction results were compared with the finite element simulation results. The comparison results show that the prediction results of the two methods are basically the same, but the neural network based method can predict details, which is difficult to be achieved by finite element simulation, and thus can achieve more detailed division of microstructure distribution.
[1] ZHANG J H, LI X X, XU D S, et al. Recent progress in the simulation of microstructure evolution in titanium alloys[J]. Progress in Natural Science:Materials International, 2019, 29(3):295-304.
[2] 丁文锋, 奚欣欣, 占京华, 等. 航空发动机钛材料磨削技术研究现状及展望[J]. 航空学报, 2019, 40(6):022763. DING W F, XI X X, ZHAN J H, et al. Research status and future development of grinding technology of titanium materials for aero-engines[J]. Acta Aeronautica et Astronautica Sinica, 2019, 40(6):022763(in Chinese).
[3] 赵波, 李鹏涛, 张存鹰, 等. 超声振动方向对TC4钛合金铣削特性的影响[J]. 航空学报, 2020, 41(2):623301. ZHAO B, LI P T, ZHANG C Y, et al. Effect of ultrasonic vibration direction on milling characteristics of TC4 titanium alloy[J]. Acta Aeronautica et Astronautica Sinica, 2020, 41(2):623301(in Chinese).
[4] WANG Y, ZHU J C, LAI Z H, et al. Hot compressive deformation behaviour and microstructural variation of TA15 titanium alloy[J]. Materials Science and Technology, 2005, 21(12):1466-1470.
[5] 鹿靖, 王玉会, 张旺峰. 组织形态对近α型TA15钛合金拉伸性能的影响[J]. 金属热处理, 2011, 36(6):25-28. LU J, WANG Y H, ZHANG W F. Effect of microstructure on tensile properties of near-alpha TA15 titanium alloy[J]. Heat Treatment of Metals, 2011, 36(6):25-28(in Chinese).
[6] SRINIVASAN R, RAMNARAYAN V, DESHPANDE U, et al. Computer simulation of the forging of fine grain IN-718 alloy[J]. Metallurgical Transactions A, 1993, 24(9):2061-2069.
[7] MA Q, LIN Z Q, YU Z Q. Prediction of deformation behavior and microstructure evolution in heavy forging by FEM[J]. The International Journal of Advanced Manufacturing Technology, 2009, 40(3-4):253-260.
[8] LI A H, PANG J M, ZHAO J, et al. FEM-simulation of machining induced surface plastic deformation and microstructural texture evolution of Ti-6Al-4V alloy[J]. International Journal of Mechanical Sciences, 2017, 123:214-223.
[9] 朱帅, 杨合, 郭良刚, 等. TA15钛合金环件径轴向辗轧成形全过程组织演变模拟[J]. 航空学报, 2014, 35(11):3145-3155. ZHU S, YANG H, GUO L G, et al. Simulation of microstructure evolution during the whole process of radial-axial rolling of TA15 titanium alloy ring[J]. Acta Aeronautica et Astronautica Sinica, 2014, 35(11):3145-3155(in Chinese).
[10] WU G P. Application of BP and RBF neural network in classification prognosis of hepatitis B virus reactivation[J]. Journal of Electrical and Electronic Engineering, 2016, 4(2):35.
[11] SUN Y, ZENG W D, ZHAO Y Q, et al. Development of constitutive relationship model of Ti600 alloy using artificial neural network[J]. Computational Materials Science, 2010, 48(3):686-691.
[12] SUN Z C, YANG H, TANG Z. Microstructural evolution model of TA15 titanium alloy based on BP neural network method and application in isothermal deformation[J]. Computational Materials Science, 2010, 50(2):308-318.
[13] LI M Q, ZHANG X Y. Modeling of the microstructure variables in the isothermal compression of TC11 alloy using fuzzy neural networks[J]. Materials Science and Engineering:A, 2011, 528(6):2265-2270.
[14] SZKLINIARZ W, CHRAPON'SKI J, KOS'CIELNA A, et al. Substructure of titanium alloys after cyclic heat treatment[J]. Materials Chemistry and Physics, 2003, 81(2-3):538-541.
[15] LI X F, CHEN X, LI B Y, et al. Grain refinement mechanism of Ti-55 titanium alloy by hydrogenation and dehydrogenation treatment[J]. Materials Characterization, 2019, 157:109919.
[16] ANSARIAN I, SHAERI M H, EBRAHIMI M, et al. Microstructure evolution and mechanical behaviour of severely deformed pure titanium through multi directional forging[J]. Journal of Alloys and Compounds, 2019, 776:83-95.
[17] ITO Y, HOSHI N, HAYAKAWA T, et al. Mechanical properties and biological responses of ultrafine-grained pure titanium fabricated by multi-directional forging[J]. Materials Science and Engineering:B, 2019, 245:30-36.
[18] 纪小虎, 李萍, 时迎宾, 等. TA15钛合金等温多向锻造晶粒细化机理与力学性能[J]. 中国有色金属学报, 2019, 29(11):2515-2523. JI X H, LI P, SHI Y B, et al. Grain refinement mechanism and mechanical properties of TA15 alloy during multi-directional isothermal forging[J]. The Chinese Journal of Nonferrous Metals, 2019, 29(11):2515-2523(in Chinese).
[19] ZHANG Z X, QU S J, FENG A H, et al. Achieving grain refinement and enhanced mechanical properties in Ti-6Al-4V alloy produced by multidirectional isothermal forging[J]. Materials Science and Engineering:A, 2017, 692:127-138.
[20] ZHANG R, WANG D J, HUANG L J, et al. Deformation behaviors and microstructure evolution of TiBw/TA15 composite with novel network architecture[J]. Journal of Alloys and Compounds, 2017, 722:970-980.
[21] KERMANPUR A, LEE P D, MCLEAN M, et al. Integrated modeling for the manufacture of aerospace discs:Grain structure evolution[J]. JOM, 2004, 56(3):72-78.
[22] QUAN G Z, LUO G C, LIANG J T, et al. Modelling for the dynamic recrystallization evolution of Ti-6Al-4V alloy in two-phase temperature range and a wide strain rate range[J]. Computational Materials Science, 2015, 97:136-147.
[23] WANG B F, WANG X Y, LI J. Formation and microstructure of ultrafine-grained titanium processed by multi-directional forging[J]. Journal of Materials Engineering and Performance, 2016, 25(6):2521-2527.
CJA