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基于成分优化的高抗拉、抗氧化性Ti2AlNb 基合金流动性改善
Fluidity Improvement of Ti2AlNb-based Alloys with Enhanced TensileStrength and Oxidation Resistance through Composition Optimization
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- DOI:
- 作者:
- 吴韵桀 1，张鹏飞 1，2，孙 峰 3，周 瑜 3，杨浩雪 1，王 军 1，3
WU Yunjie1, ZHANG Pengfei1,2, SUN Feng3, ZHOU Yu3, YANG Haoxue1, WANG Jun1,3
- 作者单位:
- 1. 西北工业大学 凝固技术全国重点实验室，陕西 西安 710072；2. 中国航发贵州黎阳航空发动机有限公司，贵州 贵阳550014；3. 西北工业大学重庆科创中心，重庆 401135
1. State Key Laboratory of Solidification Processing, Northwestern Polytechnical University, Xi'an 710072, China; 2. AECCGuizhou Liyang Aero Engine Co., Ltd., Guiyang 550014, China; 3. Innovation Center NPU Chongqing, Chongqing 401135,China
- 关键词:
- Ti2AlNb 基合金；成分优化；流动性；凝固机理
Ti2AlNb-based alloy; composition optimization; fluidity; solidification mechanism
- 摘要:
- 通过相图计算与机器学习建模，研究了多种合金元素对 Ti2AlNb 基合金铸造性能与服役性能的影响。 通过相图软件计算 Ti2AlNb 基合金影响合金流动性的热物性参数，结合机器学习建模分析元素对合金抗氧化性能与力学性能的影响，筛选出有利于提升合金铸造性能与服役性能的成分，并通过流动性实验进行验证，最终探讨了合金流动性能改善的机理。 结果表明，Ti2AlNb 基合金熔体的止流机理是具有较宽结晶温度范围的合金的特征，流动性提高的原因在于合金熔体凝固点降低，合金熔体过热度提高；添加的微量元素作为合金的晶粒细化剂，减小了合金铸造晶粒尺寸，细小晶粒阻止了树枝晶向发达树枝晶网络的生长，降低了合金熔体的流动阻力。
Phase diagram calculations combined with machine learning modelling were used to investigate how multiplealloying elements influence the castability and service performance of Ti2AlNb-based alloys. The thermophysical parametersassociated with melt fluidity were calculated via phase diagram software, and machine learning models were developed toassess the effects of alloying elements on the oxidation resistance and mechanical properties. On the basis of the integratedanalysis, alloy compositions that improve both castability and service performance were identified and further validatedthrough fluidity experiments, and the mechanisms underlying the increase in melt fluidity were also investigated. Theresults indicate that the stopping-flow behavior of Ti2AlNb-based alloy is typical of alloys exhibiting a wide solidificationtemperature range. The improved fluidity mainly results from a reduced solidification temperature, which increases meltsuperheating and promotes melt flow. In addition, microalloying elements serve as effective grain refiners, resulting insignificant reductions in the grain size. The refined grains suppress the development of an extensive dendritic networkduring solidification, thereby reducing the flow resistance in the semisolid region. Overall, the combined effects ofthermodynamic optimization and microalloying offer a viable strategy for enhancing the castability and service performanceof Ti2AlNb-based alloys