数据驱动镍基铸造高温合金设计及复杂铸件精确成形
收稿日期: 2021-08-23
修回日期: 2021-09-26
网络出版日期: 2021-09-30
基金资助
国家重大专项项目(J2019-VI-0004-0117);国家自然科学基金项目(51821001);国家重点研发计划项目;先进高温结构材料重点实验室开放基金(6142903200105)
Data-Driven Design of Cast Nickel-Based Superalloy and Precision Forming of Complex Castings
Received date: 2021-08-23
Revised date: 2021-09-26
Online published: 2021-09-30
Supported by
National Science and Technology Major Project of China(J2019-VI-0004-0117);National Natural Science Foundation of China(51821001);National Key Research and Development Program of China(2016YFB0701405);Fund of the Science and Technology on Advanced High Temperature Structural Materials Laboratory(6142903200105)
材料基因组工程与材料智能制备加工技术的发展为航空发动机高温合金关键热端部件的研发与制造提供了新的思路。针对航空发动机涡轮机匣类结构件高温合金材料与铸造成型的需求，开发了高通量并发式的热动力学模拟软件系统，结合镍基铸造高温合金的筛选判据，从520万余种成分组合中筛选并研制了一种新型镍基铸造高温合金，815℃、400 MPa下高温持久性能优于国外Inconel 939高温合金。针对高温合金复杂铸件的精密成型，开展了数据驱动铸件变形全流程集成计算，揭示蜡模注射工艺参数与尺寸映射关系以及凝固变形过程中工艺参数与尺寸精度关联关系，提出了一种基于数据驱动的工艺参数优化方法。建立了基于“模型+算法”的数据驱动的铸造冒口设计方法，结合试验设计和多目标遗传算法，优化了铸造工艺参数，试验验证后铸件工艺出品率提高13.39%。基于数据驱动的成分设计与基于数据模型的工艺设计结合，将加速航空材料与构件的研发与应用。
汪东红 , 孙锋 , 疏达 , 陈晶阳 , 肖程波 , 孙宝德 . 数据驱动镍基铸造高温合金设计及复杂铸件精确成形[J]. 金属学报, 2022 , 58(1) : 89 -102 . DOI: 10.11900/0412.1961.2021.00355
The development of material genomics engineering and intelligent material-processing technology provides new ideas for researching, developing, and manufacturing key thermal superalloy components of aeroengines. Based on the demand for superalloy materials and casting processing, a high-throughput dynamic simulation software system was developed. Combined with the screening criteria of nickel-based casting superalloy, a new nickel-based casting superalloy was selected and developed from more than 5.2 million-component combinations. High-temperature durability at 815oC and 400 MPa is better than foreign Inconel 939 superalloy. For the precision molding of complex superalloy casting, the data-driven process of the casting deformation is integrated, which reveals the correlation between the process parameters and size precision during solidification deformation. Thus, a data-driven process parameter optimization method is proposed herein. A data-driven casting outlet design method based on the model and algorithm, combined with the test design and multi-target genetic algorithm, which optimized the casting process parameters, was established, and the production rate of the casting process increased by 13.39% after the test verification. The combination of data-driven component design and data model-based process design will accelerate the development and application of aviation materials and components.
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