铸态GH4706合金的本构模型与热加工图Constitutive model and hot processing map of as cast GH4706 alloy
王梦寒,李鑫,刘瞬,唐国军,张海成,李松林
摘要(Abstract):
为提高GH4706合金热加工数值模拟精度,在变形温度为900~1150℃和应变速率为0.01~5 s~(-1)的条件下,采用等温压缩实验研究了铸态GH4706合金的热变形行为,构建了其应变补偿Arrhenius模型、修正Zerilli-Armstrong(Z-A)模型和反向传播人工神经网络(BP-ANN)模型。结果表明:BP-ANN模型的预测精度最优,其相关系数(r~2=0.99982)显著高于应变补偿Arrhenius模型(r~2=0.97252)和修正Z-A模型(r~2=0.96233);基于动态材料模型理论,开发Python程序自动生成热加工图,确定铸态GH4706合金最佳热加工区间为:变形温度为1050~1120℃、应变速率为0.1~1 s~(-1)。
关键词(KeyWords): GH4706合金;应变补偿Arrhenius模型;修正Zerilli-Armstrong模型;BP人工神经网络模型;热加工图
基金项目(Foundation): 国家重点研发计划(2022YFB3705102)
作者(Author): 王梦寒,李鑫,刘瞬,唐国军,张海成,李松林
DOI: 10.13289/j.issn.1009-6264.2025-0093
参考文献(References):
- [1] 姚凯俊,姚志浩,王强,等.高温合金涡轮盘制备数值模拟方法研究进展[J].稀有金属材料与工程,2022,51(11):4347-4357.YAO Kai-jun,YAO Zhi-hao,WANG Qiang,et al.Research progress of numerical simulation methods for manufacture technologies of superalloy turbine disks[J].Rare Metal Materials and Engineering,2022,51(11):4347-4357.
- [2] Mukherji D,Gilles R,Barbier B,et al.Lattice misfit measurement in Inconel 706 containing coherent γ′ and γ″ precipitates[J].Scripta Materialia,2003,48(4):333-339.
- [3] 阚志,吴贵林,于腾,等.GH4706合金超大尺寸棒材冶炼及加工工艺研究[C]//第十三届中国高温合金年会,北京,2015:115-117.KAN Zhi,WU Gui-lin,YU Teng,et al.The research of smelting and forging craftwork of GH4706 alloy big diameter bar[C]//The 13th China Superalloy Annual Meeting,Beijing,2015:115-117.
- [4] Farabi E,Zarei-Hanzaki A,Abedi H R.High temperature formability prediction of dual phase brass using phenomenological and physical constitutive models[J].Journal of Materials Engineering and Performance,2015,24(1):209-220.
- [5] Zhang B,Shang X,Yao S,et al.A comparative study on Johnson-Cook,modified Johnson-Cook,modified Zerilli-Armstrong and Arrhenius-type constitutive models to predict hot deformation behavior of TA2[J].High Temperature Materials and Processes,2019,38(2019):699-714.
- [6] 蔺永诚,陈小敏,陈明松.镍基合金的热变形行为及智能热加工技术研究进展[J].精密成形工程,2021,13(1):1-18.LIN Yong-cheng,CHEN Xiao-min,CHEN Ming-song.Recent development of high-temperature deformation behavior and intelligent processing of Ni-based superalloy[J].Journal of Netshape Forming Engineering,2021,13(1):1-18.
- [7] Yang Y H,Liu D,Peng J B,et al.Study on hot deformation behavior of cast-and-homogenized superalloy GH706[J].Materials Science Forum,2015,816:648-654.
- [8] Huang S,Wang L,Lian X T,et al.Hot deformation map and its application of GH4706 alloy[J].International Journal of Minerals Metallurgy and Materials,2014,21(5):462-468.
- [9] 杜康,杨来侠,黄宁,等.选区激光熔化Inconel 625镍基合金Modified Johnson-Cook模型建立及流动应力预测[J].应用激光,2024,44(5):1-10.DU Kang,YANG Lai-xia,HUANG Ning,et al.Modified Johnson-Cook model establishment and flow predication of Inconel 625 nickel-based alloy melted by selective laser[J].Applied Laser,2024,44(5):1-10.
- [10] Yu Q,Liu J,Zhang W,et al.Modification of Johnson-Cook model for hot deformation behavior of Inconel 625 alloy[J].Rare Metal Materials and Engineering,2013,42(8):1679-1684.
- [11] Zheng Q,Shimizu T,Shiratori T,et al.Tensile properties and constitutive model of ultrathin pure titanium foils at elevated temperatures in microforming assisted by resistance heating method[J].Materials & Design,2014,63:389-397.
- [12] Zhu L,He J,Zhang Y.A two-stage constitutive model of X12CrMoWVNbN10-1-1 steel during elevated temperature[J].Materials Research Express,2018,5(2):026505.
- [13] Wang H,Qin G,Li C.A modified Arrhenius constitutive model of 2219-O aluminum alloy based on hot compression with simulation verification[J].Journal of Materials Research and Technology,2022,19:3302-3320.
- [14] Zhang Y B,Yao S,Hong X,et al.A modified Johnson-Cook model for 7N01 aluminum alloy under dynamic condition[J].Journal of Central South University,2017,24(11):2550-2555.
- [15] Shang X,He A,Wang Y,et al.Flow behavior modeling of a Nitrogen-alloyed ultralow carbon stainless steel during hot deformation:A comparative study of constitutive models[J].Journal of Materials Engineering and Performance,2015,24(10):4106-4118.
- [16] Shamsolhodaei A,Zarei-Hanzaki A,Ghambari M,et al.The high temperature flow behavior modeling of NiTi shape memory alloy employing phenomenological and physical based constitutive models:A comparative study[J].Intermetallics,2014,53:140-149.
- [17] 李清阳,蔡军,李冲冲,等.修正Zerilli-Armstrong模型预测Cu-Sn合金的高温流变应力[J].材料热处理学报,2024,45(5):180-185.LI Qing-yang,CAI Jun,LI Chong-chong,et al.Prediction of high temperature flow stress of Cu-Sn alloy by modified Zerilli-Armstrong model[J].Transactions of Materials and Heat Treatment,2024,45(5):180-185.
- [18] Tan G,Li H zhong,Wang Y,et al.Physical-based constitutive modeling of hot deformation in a hot-extruded powder metallurgy Nickel-based superalloy[J].Journal of Materials Engineering and Performance,2021,30(1):794-804.
- [19] 董定乾.核电用钢SA508-3热锻全流程晶粒演变数学模型及其在封头成形中的应用[D].上海:上海交通大学,2019.DONG Ding-qian.Mathematical model of grain evolution for nuclear power SA508-3 steel during hot forging process and its application in the development of heavy pressure vessel head forming[D].Shanghai:Shanghai Jiao Tong University,2019.
- [20] Samantaray D,Mandal S,Borah U,et al.A thermo-viscoplastic constitutive model to predict elevated-temperature flow behaviour in a titanium-modified austenitic stainless steel[J].Materials Science and Engineering A,2009,526(1/2):1-6.
- [21] Lin Y C,Chen X M.A critical review of experimental results and constitutive descriptions for metals and alloys in hot working[J].Materials & Design,2011,32(4):1733-1759.
- [22] Lin Y C,Li J,Chen M S,et al.A deep belief network to predict the hot deformation behavior of a Ni-based superalloy[J].Neural Computing & Applications,2018,29(11):1015-1023.
- [23] Wang M,Du M,Lu H,et al.Enhancing the high-temperature constitutive modeling of In706 superalloy using advanced artificial neural networks and attentive staged optimization algorithm[J].Computational Materials Science,2024,237:112900.
- [24] Chen X M,Nie L Y,Hu H W,et al.High-temperature deformation characteristics and constitutive models of Inconel 625 superalloy[J].Materials Today Communications,2022,32:103855.
- [25] Zheng D Y,Xia Y F,Teng H H,et al.Application of genetic algorithm to enhance the predictive stability of BP-ANN constitutive model for GH4169 superalloy[J].Journal of Central South University,2024,31(3):693-708.
- [26] 罗锐,曹赟,邱宇,等.基于BP人工神经网络喷射成形7055铝合金的本构模型[J].航空材料学报,2021,41(1):35-44.LUO Rui,CAO Yun,QIU Yu,et al.Investigation of constitutive model of as-extruded spray-forming 7055 aluminum alloy based on BP artificial neural network[J].Journal of Aeronautical Materials,2021,41(1):35-44.
- [27] 谢桂兰,王永威,朱戴博,等.Cu-15Ni-8Sn合金的热变形行为和热加工图[J].材料热处理学报,2023,44(3):184-195.XIE Gui-lan,WANG Yong-wei,ZHU Dai-bo,et al.Thermal deformation behavior and thermal processing map of Cu-15Ni-8Sn alloy[J].Transactions of Materials and Heat Treatment,2023,44(3):184-195.
- [28] 张志阳,周孟,张毅,等.Cu-Ti-Ni-Mg合金的热变形行为及热加工图[J].材料热处理学报,2023,44(7):149-156.ZHANG Zhi-yang,ZHOU Meng,ZHANG Yi,et al.Hot deformation behavior and hot processing map of Cu-Ti-Ni-Mg alloy[J].Transactions of Materials and Heat Treatment,2023,44(7):149-156.
- [29] Prasad Y V R K,Gegel H L,Doraivelu S M,et al.Modeling of dynamic material behavior in hot deformation:Forging of Ti-6242[J].Metallurgical Transactions A,1984,15(10):1883-1892.
文章评论(Comment):
|
||||||||||||||||||
|
||||||||||||||||||