{"title":"Exploring grain size influence on tensile behavior of 316 H austenitic stainless steel at high temperature: A phenomenological dislocation model","authors":"Xueyan Qi, Lei Zhao, Lianyong Xu, Yongdian Han","doi":"10.1016/j.mtcomm.2024.110313","DOIUrl":null,"url":null,"abstract":"The high temperature mechanical behavior of 316 H austenitic stainless steel with different grain size was investigated in this study through the use of a novel phenomenological dislocation model finite element method. The study was conducted by producing steel specimens with varying grain sizes through adjustments in annealing temperature and time, followed by high temperature tensile tests at 550°C. The finite element method, when integrated with a phenomenological dislocation model that considers grain size parameters, effectively captured the mechanical response under different grain size conditions. Additionally, the two-variable Kocks-Mecking(KM) model accurately captured the grain size effect in 316 H austenitic steel and effectively depicted its tensile flow behavior. The model’s predictions were based on the evolution of forest dislocation density and mobile dislocation density, proving to be a reliable tool for analyzing the microstructural evolution of 316 H austenitic steel specimens with varying grain sizes. This study provides insight into the effect of grain size on the high temperature strength of austenitic stainless steels and demonstrates the utility of a novel phenomenological model finite element method for predicting the mechanical behavior of polycrystalline materials.","PeriodicalId":18477,"journal":{"name":"Materials Today Communications","volume":"67 1","pages":""},"PeriodicalIF":3.7000,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Materials Today Communications","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1016/j.mtcomm.2024.110313","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
The high temperature mechanical behavior of 316 H austenitic stainless steel with different grain size was investigated in this study through the use of a novel phenomenological dislocation model finite element method. The study was conducted by producing steel specimens with varying grain sizes through adjustments in annealing temperature and time, followed by high temperature tensile tests at 550°C. The finite element method, when integrated with a phenomenological dislocation model that considers grain size parameters, effectively captured the mechanical response under different grain size conditions. Additionally, the two-variable Kocks-Mecking(KM) model accurately captured the grain size effect in 316 H austenitic steel and effectively depicted its tensile flow behavior. The model’s predictions were based on the evolution of forest dislocation density and mobile dislocation density, proving to be a reliable tool for analyzing the microstructural evolution of 316 H austenitic steel specimens with varying grain sizes. This study provides insight into the effect of grain size on the high temperature strength of austenitic stainless steels and demonstrates the utility of a novel phenomenological model finite element method for predicting the mechanical behavior of polycrystalline materials.
本研究通过使用新型现象学位错模型有限元方法,对具有不同晶粒大小的 316 H 奥氏体不锈钢的高温力学行为进行了研究。研究通过调整退火温度和时间制作出不同晶粒大小的钢试样,然后在 550°C 下进行高温拉伸试验。有限元方法与考虑晶粒尺寸参数的现象学位错模型相结合,有效地捕捉了不同晶粒尺寸条件下的机械响应。此外,双变量 Kocks-Mecking(KM)模型准确捕捉了 316 H 奥氏体钢中的晶粒尺寸效应,并有效描述了其拉伸流动行为。该模型的预测基于森林位错密度和移动位错密度的演变,被证明是分析不同晶粒大小的 316 H 奥氏体钢试样微观结构演变的可靠工具。这项研究深入探讨了晶粒尺寸对奥氏体不锈钢高温强度的影响,并证明了新型现象学模型有限元方法在预测多晶材料力学行为方面的实用性。
期刊介绍:
Materials Today Communications is a primary research journal covering all areas of materials science. The journal offers the materials community an innovative, efficient and flexible route for the publication of original research which has not found the right home on first submission.