• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于水平集和SSRVE方法的双相钢相变数值模拟

Numerical Modeling of Phase Transformations in Dual-Phase Steels Using Level Set and SSRVE Approaches.

作者信息

Bzowski Krzysztof, Rauch Łukasz, Pietrzyk Maciej, Kwiecień Marcin, Muszka Krzysztof

机构信息

Faculty of Metals Engineering and Industrial Computer Science, AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Kraków, Poland.

出版信息

Materials (Basel). 2021 Sep 17;14(18):5363. doi: 10.3390/ma14185363.

DOI:10.3390/ma14185363
PMID:34576587
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8470693/
Abstract

Development of a reliable model of phase transformations in steels presents significant challenges, not only metallurgical but also connected to numerical solutions and implementation. The model proposed in this paper is dedicated to austenitic transformation during heating and ferritic transformation during cooling. The goal was to find a solution which allows for the decreasing of computing time without noticeable decreasing the accuracy and reliability of the model. Proceedings to achieve this goal were twofold. Statistically Similar Representative Volume Element was used as a representation of the microstructure. It allowed for the reducing of the complexity of the computational domain. For the purpose of the model, carbon diffusion was assumed to be the main driving force for both transformations. A coupled finite element-level set method was used to describe growth of a new phase. The model was verified and validated by comparing the results with the experimental data. Numerical tests of the model were performed for the industrial intercritical annealing process.

摘要

开发可靠的钢中相变模型面临重大挑战,不仅涉及冶金方面,还与数值解和实现有关。本文提出的模型致力于加热过程中的奥氏体转变和冷却过程中的铁素体转变。目标是找到一种解决方案,在不显著降低模型准确性和可靠性的情况下减少计算时间。实现这一目标的步骤有两个方面。统计相似代表性体积单元被用作微观结构的表示。这使得计算域的复杂性得以降低。为了该模型的目的,假定碳扩散是两种转变的主要驱动力。一种耦合有限元-水平集方法被用于描述新相的生长。通过将结果与实验数据进行比较,对该模型进行了验证和确认。针对工业临界区退火过程对该模型进行了数值测试。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f13a/8470693/b70ab8c369e1/materials-14-05363-g019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f13a/8470693/238944249d0d/materials-14-05363-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f13a/8470693/8eb08e949687/materials-14-05363-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f13a/8470693/aa0c0dad1e54/materials-14-05363-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f13a/8470693/d7e768813be9/materials-14-05363-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f13a/8470693/45ff1bb55b46/materials-14-05363-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f13a/8470693/f614a2312213/materials-14-05363-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f13a/8470693/0c1cc48ef339/materials-14-05363-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f13a/8470693/8576189eb8fd/materials-14-05363-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f13a/8470693/99d57f3b2b7e/materials-14-05363-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f13a/8470693/a70b3536cf4a/materials-14-05363-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f13a/8470693/169be223065b/materials-14-05363-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f13a/8470693/be94700a8ff4/materials-14-05363-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f13a/8470693/20311f434012/materials-14-05363-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f13a/8470693/fd526eed9a98/materials-14-05363-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f13a/8470693/7f7937c0dec0/materials-14-05363-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f13a/8470693/92ecd1732b2f/materials-14-05363-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f13a/8470693/eca61d151b94/materials-14-05363-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f13a/8470693/00e58726c4df/materials-14-05363-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f13a/8470693/b70ab8c369e1/materials-14-05363-g019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f13a/8470693/238944249d0d/materials-14-05363-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f13a/8470693/8eb08e949687/materials-14-05363-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f13a/8470693/aa0c0dad1e54/materials-14-05363-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f13a/8470693/d7e768813be9/materials-14-05363-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f13a/8470693/45ff1bb55b46/materials-14-05363-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f13a/8470693/f614a2312213/materials-14-05363-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f13a/8470693/0c1cc48ef339/materials-14-05363-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f13a/8470693/8576189eb8fd/materials-14-05363-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f13a/8470693/99d57f3b2b7e/materials-14-05363-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f13a/8470693/a70b3536cf4a/materials-14-05363-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f13a/8470693/169be223065b/materials-14-05363-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f13a/8470693/be94700a8ff4/materials-14-05363-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f13a/8470693/20311f434012/materials-14-05363-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f13a/8470693/fd526eed9a98/materials-14-05363-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f13a/8470693/7f7937c0dec0/materials-14-05363-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f13a/8470693/92ecd1732b2f/materials-14-05363-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f13a/8470693/eca61d151b94/materials-14-05363-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f13a/8470693/00e58726c4df/materials-14-05363-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f13a/8470693/b70ab8c369e1/materials-14-05363-g019.jpg

相似文献

1
Numerical Modeling of Phase Transformations in Dual-Phase Steels Using Level Set and SSRVE Approaches.基于水平集和SSRVE方法的双相钢相变数值模拟
Materials (Basel). 2021 Sep 17;14(18):5363. doi: 10.3390/ma14185363.
2
Numerical and Metallurgical Analysis of Laser Welded, Sealed Lap Joints of S355J2 and 316L Steels under Different Configurations.不同配置下S355J2和316L钢激光焊接密封搭接接头的数值与金相分析
Materials (Basel). 2020 Dec 20;13(24):5819. doi: 10.3390/ma13245819.
3
3D Model of Carbon Diffusion during Diffusional Phase Transformations.扩散型相变过程中碳扩散的三维模型
Materials (Basel). 2024 Jan 30;17(3):674. doi: 10.3390/ma17030674.
4
A New Concept for Modeling Phase Transformations in Ti6Al4V Alloy Manufactured by Directed Energy Deposition.定向能量沉积制造的Ti6Al4V合金中相变建模的新概念
Materials (Basel). 2021 May 31;14(11):2985. doi: 10.3390/ma14112985.
5
Effects of Stress on Phase Transformations in Grinding by FE Modeling and Experimental Approaches.基于有限元建模和实验方法研究应力对磨削过程中相变的影响
Materials (Basel). 2019 Jul 22;12(14):2327. doi: 10.3390/ma12142327.
6
Physical and Numerical Simulations of Closed Die Hot Forging and Heat Treatment of Forged Parts.闭式模热锻及锻件热处理的物理与数值模拟
Materials (Basel). 2020 Dec 22;14(1):15. doi: 10.3390/ma14010015.
7
In-situ SEM observation of grain growth in the austenitic region of carbon steel using thermal etching.使用热蚀刻对碳钢奥氏体区域晶粒生长进行原位扫描电子显微镜观察。
J Microsc. 2020 Sep;279(3):249-255. doi: 10.1111/jmi.12894. Epub 2020 Apr 28.
8
Validated Multi-Physical Finite Element Modelling of the Spot Welding Process of the Advanced High Strength Steel DP1200HD.先进高强度钢DP1200HD点焊过程的多物理场有限元模型验证
Materials (Basel). 2021 Sep 18;14(18):5411. doi: 10.3390/ma14185411.
9
Structure of Fe-Mn-Al-C Steels after Gleeble Simulations and Hot-Rolling.Gleeble模拟和热轧后Fe-Mn-Al-C钢的组织结构
Materials (Basel). 2020 Feb 6;13(3):739. doi: 10.3390/ma13030739.
10
TRIP Steels: A Multiscale Computational Simulation and Experimental Study of Heat Treatment and Mechanical Behavior.TRIP钢:热处理与力学行为的多尺度计算模拟及实验研究
Materials (Basel). 2020 Jan 18;13(2):458. doi: 10.3390/ma13020458.

本文引用的文献

1
Grain nucleation and growth during phase transformations.相变过程中的晶粒形核与生长。
Science. 2002 Nov 1;298(5595):1003-5. doi: 10.1126/science.1076681.