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作 者:唐宁[1] 王艳丽[2] 许庆彦[1] 赵希宏[2] 柳百成[1]
机构地区:[1]清华大学材料学院先进成形制造教育部重点实验室,北京100084 [2]北京航空材料研究院先进高温结构材料重点实验室,北京100095
出 处:《金属学报》2015年第4期499-512,共14页Acta Metallurgica Sinica
基 金:国家重点基础研究发展计划项目2011CB706801;国家自然科学基金项目51171089和51374137;国家科技重大专项项目2012ZX04012-011资助~~
摘 要:建立了宽弦叶片定向凝固过程的宏微观数理模型,计算结果与实验结果吻合,铸件表面大部分晶粒的位置和形状一一对应.通过数值模拟预测了不同引晶方式和拉速下温度场和晶粒组织的演变过程,研究了2种因素的影响规律.通过建立糊状区形态和晶粒数的数学判据,实现了温度场和微观组织优劣的定量评价,基于判据揭示了工艺参数对糊状区和晶粒的影响机理,从而对工艺进行了定量的优化.研究表明,采用叶身正下方的引晶方式,有利于增加柱状晶数目,提高晶粒平行度,防止横向晶界生成,同时还可以在糊状区形状保持平直的前提下使用较高拉速,从而避免晶粒粗化,并提高生产率.ABSTRACT The aero turbine is spun by high-temperature and high-pressure burning gases. The practice has proven that the directional solidification (DS) turbine blade with perfect column grains has still excellent high-tem- perature performance in this kind of working environment. This means that the size and orientation of colunm grains have great influence on the high-temperature property and performance of turbine blades. On the other hand, the high-quality blade is not easy to be produced in DS process due to the difficulty of obtaining the desired temper- ature field needed to produce the grains with ideal morphology. In addition, the growth of colunmar grains in the wide-chord hollow guide blade is obstructed by the complex camber and the platform. How to produce turbine blades with desired microstructures is the key problem in the DS process. Numerical simulation of the DS process is an effective way to investigate the growth and the morphology of the grains and hence to optimize the process. In this work, a mathematical-physical model for simulating the DS process of wide-chord blade is established in which nucleation and grain growth in the blade in the DS process are modeled by the cellular automation (CA) method with multi-scale dynamic bidirectional coupling technology. Some general analytic indicators are proposed to assess the morphology of mushy zone and grains in a blade quantitatively. Based on the simulated results by us- ing the usual starter blocks 1, 2 and 3, a new starter block is designed considering numerically controlled cutting. Temperature fields and grains in DS processes and corresponding indicators at different withdrawal rates for above 4 starter blocks are numerically predicted to investigate the influences of varying these technological parameters, and hence to determine the influence mechanism to the DS process. For comparison, the DS validation experiments by using starter blocks 1, 2 and 3 have been carried out. The numerical and experimental results agree well, their mo
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