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作 者:方毅 车家宝 廖敦明[2] 陈涛[2] 曹流[2] 孙飞[2] FANG Yi1, CHE Jiabao2, LIAO Dunming2, CHEN Tao2, CAO Liu2, SUN Fei2(1. Zhejiang Hangji Casting Co., Ltd., Zhuji 311800, China; 2. State Key Laboratory of Materials Processing and Die &Mould Technology, Huazhong University of Science and Technology, Wuhan 430074, Chin)
机构地区:[1]浙江杭机铸造有限公司,浙江诸暨311800 [2]华中科技大学材料成形与模具技术国家重点实验室,湖北武汉430074
出 处:《铸造技术》2018年第3期521-525,共5页Foundry Technology
基 金:教育部新世纪优秀人才支持计划(NCET-13-0229);国家杰出青年基金(NSFC51725504)
摘 要:以铸钢凝固性能数据库和铸件温度场数据为基础,提出一种对凝固过程宏观相组织进行快速预测的计算模型,即根据微积分原理,将很多个较小温度区间所对应的相含量增量进行累加,近似得到凝固终止时刻以及凝固过程中各时刻的相含量值。计算了三通阀体铸钢件在凝固过程中的宏观相组织,得出奥氏体、铁素体、马氏体等不同相的含量及分布情况。结果表明,计算结果和理论分析基本吻合,从而证明了本文宏观相组织预测模型的可靠性。Based on the database of solidification properties of cast steel and the temperature field data of the steel casting, a computational model for rapid prediction of the macroscopical phase structure in solidification process was proposed. Based on the principle of calculus, the phase content increments corresponding to many smaller temperature intervals were summed to obtain the phase content values at different times during the solidification process. The phase structure of three-way valve cast steel during solidification was calculated, and the content and distribution of different phases such as austenite, ferfite and martensite were obtained. The results show that it agrees well with the theoretical analysis, which proves the reliability of the macroscopical phase prediction model.
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