模拟灰铸铁的不对称热力学行为和失效:具有单独Johnson-Cook参数的实验-数值研究

IF 3.5 2区 计算机科学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Burak Özcan , Umut Çalışkan , Murat Aydın , Onur Çavuşoğlu , Ulvi Şeker
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引用次数: 0

摘要

采用实验与数值相结合的方法,研究了工业上广泛应用的灰口铸铁(EN-GJL-200、EN-GJL-250、EN-GJL-300)在不同应变速率和温度下的不对称(不同的拉伸和压缩行为)热力学行为和损伤。材料的力学响应通过室温和高达700°C的高温下的准静态拉伸和压缩试验、高应变率(高达~ 3600 s−1)的劈裂霍普金森压缩杆(SHPB)试验和不同缺口半径试样的拉伸试验来分析损伤行为。基于获得的实验数据,分别校准了两种加载情况下的Johnson-Cook (JC)材料(A, B, n, C, m)和损伤(D1-D5)模型参数,以捕捉灰口铸铁在拉伸和压缩加载下的明显不对称行为。通过基于fortran的用户自定义子程序将这些单独的参数集集成到ANSYS Autodyn有限元软件中,并进行虚拟拉伸、压缩和SHPB试验。将数值模拟结果与实验数据进行比较,发现所开发的非对称建模方法能够高精度地表征材料的热力学行为和损伤(最大应力和断裂伸长率的偏差在2 - 8%范围内)。该研究为灰口铸铁的不对称热力学行为和损伤建模提供了可靠且解耦的JC参数集,允许更真实的模拟来预测这些材料在苛刻的工程应用中的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling the asymmetric thermo-mechanical behavior and failure of gray cast irons: An experimental–numerical study with separate Johnson–Cook parameters
In this study, the asymmetric (different tensile and compressive behavior) thermo-mechanical behavior and damage of gray cast irons (EN-GJL-200, EN-GJL-250, EN-GJL-300), which are widely used in industrial applications, under different strain rates and temperatures were investigated by a combination of experimental and numerical methods. The mechanical response of the materials was characterized by quasi-static tensile and compression tests at room temperature and elevated temperatures up to 700 °C, Split Hopkinson Compression Bar (SHPB) tests for high strain rates (up to ∼3600 s−1) and tensile tests with specimens of different notch radii to analyze the damage behavior. Based on the experimental data obtained, the Johnson-Cook (JC) material (A, B, n, C, m) and damage (D1-D5) model parameters were calibrated separately for both loading cases in order to capture the apparent asymmetric behavior of gray cast irons under tensile and compression loading. These separate parameter sets were integrated into ANSYS Autodyn finite element software through FORTRAN-based user-defined subroutines and virtual tensile, compression and SHPB tests were performed. Comparing the numerical simulation results with the experimental data, it was observed that the developed asymmetric modeling approach, in particular, represents the thermo-mechanical behavior and damage of the material with high accuracy (deviations in the range of 2–8 % for maximum stress and elongation at break values). This study provides reliable and decoupled JC parameter sets for modeling the asymmetric thermo-mechanical behavior and damage of gray cast irons, allowing more realistic simulations to predict the performance of these materials in demanding engineering applications.
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来源期刊
Simulation Modelling Practice and Theory
Simulation Modelling Practice and Theory 工程技术-计算机:跨学科应用
CiteScore
9.80
自引率
4.80%
发文量
142
审稿时长
21 days
期刊介绍: The journal Simulation Modelling Practice and Theory provides a forum for original, high-quality papers dealing with any aspect of systems simulation and modelling. The journal aims at being a reference and a powerful tool to all those professionally active and/or interested in the methods and applications of simulation. Submitted papers will be peer reviewed and must significantly contribute to modelling and simulation in general or use modelling and simulation in application areas. Paper submission is solicited on: • theoretical aspects of modelling and simulation including formal modelling, model-checking, random number generators, sensitivity analysis, variance reduction techniques, experimental design, meta-modelling, methods and algorithms for validation and verification, selection and comparison procedures etc.; • methodology and application of modelling and simulation in any area, including computer systems, networks, real-time and embedded systems, mobile and intelligent agents, manufacturing and transportation systems, management, engineering, biomedical engineering, economics, ecology and environment, education, transaction handling, etc.; • simulation languages and environments including those, specific to distributed computing, grid computing, high performance computers or computer networks, etc.; • distributed and real-time simulation, simulation interoperability; • tools for high performance computing simulation, including dedicated architectures and parallel computing.
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