位置:成果数据库 > 期刊 > 期刊详情页
Multiscale modelling and simulation of single crystal superalloy turbine blade casting during directional solidification process
  • ISSN号:0412-1961
  • 期刊名称:《金属学报》
  • 时间:0
  • 分类:TP391.9[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
  • 作者机构:[1]School of Materials Science and Engineering,Key Laboratory for Advanced Materials Processing Technology,Ministry of Education,Tsinghua University, Beijing 100084, China
  • 相关基金:supported by the National Basic Research Program of China(No.2011CB706801); the National Natural Science Foundation of China(Nos.51171089 and 51374137); the National Science and Technology Major Project(Nos.2011ZX04014-052 and 2012ZX04012-011)
中文摘要:

As the key parts of an aero-engine,single crystal(SX)superalloy turbine blades have been the focus of much attention.However,casting defects often occur during the manufacturing process of the SX turbine blades.Modeling and simulation technology can help to optimize the manufacturing process of SX blades.Multiscale coupled models were proposed and used to simulate the physical phenomena occurring during the directional solidification(DS)process.Coupled with heat transfer(macroscale)and grain growth(meso-scale),3D dendritic grain growth was calculated to show the competitive grain growth at micro-scale.SX grain selection behavior was studied by the simulation and experiments.The results show that the geometrical structure and technical parameters had strong influences on the grain selection effectiveness.Based on the coupled models,heat transfer,grain growth and microstructure evolution of a complex hollow SX blade were simulated.Both the simulated and experimental results show that the stray grain occurred at the platform of the SX blade when a constant withdrawal rate was used in manufacturing process.In order to avoid the formation of the stray crystal,the multi-scale coupled models and the withdrawal rate optimized technique were applied to the same SX turbine blade.The modeling results indicated that the optimized variable withdrawal rate can achieve SX blade castings with no stray grains,which was also proved by the experiments.

英文摘要:

As the key parts of an aero-engine,single crystal(SX)superalloy turbine blades have been the focus of much attention.However,casting defects often occur during the manufacturing process of the SX turbine blades.Modeling and simulation technology can help to optimize the manufacturing process of SX blades.Multiscale coupled models were proposed and used to simulate the physical phenomena occurring during the directional solidification(DS)process.Coupled with heat transfer(macroscale)and grain growth(meso-scale),3D dendritic grain growth was calculated to show the competitive grain growth at micro-scale.SX grain selection behavior was studied by the simulation and experiments.The results show that the geometrical structure and technical parameters had strong influences on the grain selection effectiveness.Based on the coupled models,heat transfer,grain growth and microstructure evolution of a complex hollow SX blade were simulated.Both the simulated and experimental results show that the stray grain occurred at the platform of the SX blade when a constant withdrawal rate was used in manufacturing process.In order to avoid the formation of the stray crystal,the multi-scale coupled models and the withdrawal rate optimized technique were applied to the same SX turbine blade.The modeling results indicated that the optimized variable withdrawal rate can achieve SX blade castings with no stray grains,which was also proved by the experiments.

同期刊论文项目
期刊论文 54 会议论文 24 著作 1
同项目期刊论文
期刊信息
  • 《金属学报》
  • 中国科技核心期刊
  • 主管单位:中国科学协术协会
  • 主办单位:中国金属学会
  • 主编:柯俊
  • 地址:沈阳文化路72号
  • 邮编:110016
  • 邮箱:shxiao@imr.ac.cn
  • 电话:024-23971286
  • 国际标准刊号:ISSN:0412-1961
  • 国内统一刊号:ISSN:21-1139/TG
  • 邮发代号:2-361
  • 获奖情况:
  • 第一、二届全国优秀科技期刊评比一等奖,第一、二、三届国家期刊奖,国家期刊方阵"双高"期刊,第一、二、三届中国科学院科技期刊评比一等奖,中国科学院优秀期刊特别奖,第一、二、三、五届中国科协优秀科技期刊评比一等奖,中国科协精品期刊工程A类、B类,第一、二、三、四、五届中国百种杰出学术期刊,首届出版政府奖
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,美国化学文摘(网络版),荷兰文摘与引文数据库,美国工程索引,美国剑桥科学文摘,美国科学引文索引(扩展库),日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版),中国北大核心期刊(2000版)
  • 被引量:26785