• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2021, Vol. 57 ›› Issue (22): 218-225.doi: 10.3901/JME.2021.22.218

• 材料科学与工程 • 上一篇    下一篇

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核电用高温合金Inconel 617B高温变形本构模型

罗锐1, 崔树刚1, 陈乐利1, 刘天1, 曹赟1, 高佩2, 邱宇3, 程晓农1   

  1. 1. 江苏大学材料科学与工程学院 镇江 212013;
    2. 江苏银环精密钢管有限公司 宜兴 214200;
    3. 中国航空制造技术研究院 北京 100024
  • 收稿日期:2020-11-08 修回日期:2021-06-13 出版日期:2021-11-20 发布日期:2022-02-28
  • 通讯作者: 罗锐(通信作者),男,1988年出生,博士,硕士研究生导师。主要研究方向为高端金属结构材料的热加工性能、高温合金的数值与物理模拟。E-mail:luoruiweiyi@163.com
  • 作者简介:崔树刚,男,1998年出生。主要研究方向为金属材料热加工及数值模拟。E-mail:cuishugang333@126.com;陈乐利,男,1997年出生。主要研究方向为高温合金的热变形行为及组织演变规律。E-mail:1015841081@qq.com;刘天,男,1993年出生,博士。主要研究方向为高温合金组织调控及性能优化。E-mail:liutianky@outlook.com;曹赟,男,1998年出生。主要研究方向为金属材料热变形及析出动力学研究。E-mail:936214539@qq.com;程晓农,男,1958年出生,博士研究生导师。主要研究方向为新材料的研制、开发、应用及其可靠性和先进的材料加工工艺科学。E-mail:xncheng@mail.ujs.edu.cn
  • 基金资助:
    中国博士后科学基金(2019M661738)、轧制技术及连轧自动化国家重点实验室东北大学开放课题(2020RALKFKT017)、江苏省高等学校自然科学研究面上(19KJB430001)和江苏省先进结构材料与应用技术重点实验室开放基金(ASMA202002)资助项目。

High Temperature Deformation Constitutive Model of Superalloy Inconel 617B for Nuclear Power

LUO Rui1, CUI Shugang1, CHEN Leli1, LIU Tian1, CAO Yun1, GAO Pei2, QIU Yu3, CHENG Xiaonong1   

  1. 1. School of Materials Science and Engineering, Jiangsu University, Zhenjiang 212013;
    2. Jiangsu Yinhuan Precision Steel Tube Co., Ltd., Yixing 214200;
    3. AVIC Manufacturing Technology Institute, Beijing 100024
  • Received:2020-11-08 Revised:2021-06-13 Online:2021-11-20 Published:2022-02-28

摘要: 传统的Arrhenius本构模型因对流变应力的预测精度较低而存在局限性。通过应变量补偿构建高温合金Inconel 617B的唯象型本构模型,同时构建合金的BP人工神经网络(Back propagation-artificial neural network,BP-ANN)型本构模型。结果表明:合金的流变应力对变形温度、变形速率和应变量较为敏感。唯象型本构模型预测流变应力的相对误差δ为9.020%,相关系数R为0.981 4;而BP-ANN型本构模型(最佳结构确定为3×20×1)预测结果的相对误差仅为1.527%,R达到0.998 9,可更加准确地预测Inconel 617B的流变应力。说明BP-ANN构建本构模型可提高预测精度,更为合理地描述Inconel 617B高温合金的流变应力与变形参数间的本构关系。

关键词: 高温合金Inconel617B, 热变形, 本构模型, BP人工神经网络

Abstract: The performance of lithium-ion batteries decays sharply in a low-temperature environment, which restricts the promotion and application of electric vehicles in all-climate conditions. Based on an electric triggered extremely fast heating (XFH) system, the modeling method of electrothermal characteristics is researched. The electrical characteristics of the heating system are characterized, and then the finite element model of heat generation and thermal diffusion of the battery considering material anisotropy is established. The experimental verification indicated that the current error is less than 98.2 mA, and the temperature rise error is less than 4.09%. The influence of duty cycle and initial SOC on the heating performance is clarified by simulation, furthermore, the heating consistency of battery pack during the heating process is studied. The results show that the battery can be heated from -20℃ to 20℃ in 270 s, and the maximum temperature difference is less than 3.94℃. The effect of heating inconsistency on the battery cell inconsistency and the control parameters of the heating system is analyzed. The results show that there is a positive linear correlation between the temperature rise inconsistency and the internal resistance standard deviation, and it is significantly affected by the control frequency and duty cycle. The influence of duty ratio on temperature rise is up to 15%.

Key words: superalloy inconel 617B, hot deformation, constitutive model, BP artificial neural network

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