数字化转型下航空发动机仿真技术发展机遇及应用展望

doi:10.16182/j.issn1004731x.joss.23-0040

摘要/Abstract

摘要：

新时代我国社会经济的发展和国防能力的提升，对航空发动机的发展提出了更高的要求，亟需推进航空发动机数字化转型，以实现航空发动机协同、敏捷、高效研制。结合我国航空发动机研发现状，阐明了新兴前沿技术发展赋予航空发动机仿真技术“快速高效、精准映射、全面覆盖、动态预测”的新内涵，以及具备的“时空泛在、数据驱动、动态演进、规范可控、智能高效”等新技术特征，分析提出了“应用全域覆盖、数据高效传递、模型全面贯通”的航空发动机仿真技术框架，论述了数字化转型给航空发动机仿真技术带来的权威数据源构建、全系统模型贯通、数值快速计算、仿真可信度评估和仿真全过程动态演进等发展机遇，并对其在航空发动机的需求论证、协同研制、运行维护等研制阶段深度应用进行了展望。

关键词: 航空发动机, 仿真技术, 数字化转型, 人工智能, 大数据, 云计算, 高性能计算

Abstract:

The development of China's social economy and the improvement of its national defense capability in the new era put forward higher requirements for the development of aero-engines. It is urgent to promote the digital transformation of aero-engines in order to achieve coordinated, agile and efficient aero-engine development. Based on the current research and development of aero-engine in China, this paper clarifies the new connotation of "speediness and efficiency, accurate mapping, comprehensive coverage, and dynamic prediction" given by the development of emerging cutting-edge technologies to aero-engine simulation technology, as well as the new technical features of "spatio-temporal ubiquity, data driven, dynamic evolution, standardization and controllability, intelligence and high-efficiency". The technical framework of aero-engine simulation is put forward and analyzed, which is characterized by "full coverage of applications, efficient transmission of data, and full penetration of models". It also discussed the opportunities brought by the development of digital transformation in aero-engine simulation including authoritative data source construction, whole system model digital thread, fast numerical calculation, simulation credibility evaluation and dynamic evolution of the whole simulation process. The prospect of further application of aero-engine simulation technology in aero-engine development stage, such as requirement demonstration, collaborative development, operation and maintenance, is proposed under the digital transformation.

Key words: aero-engine, simulation technology, digital transformation, artificial intelligence, big data, cloud computing, high performance computing

中图分类号:

曹建国. 数字化转型下航空发动机仿真技术发展机遇及应用展望[J]. 系统仿真学报, 2023, 35(1): 1-10.

Jianguo Cao. Development Opportunities and Application Prospects of Aero-Engine Simulation Technology under Digital Transformation[J]. Journal of System Simulation, 2023, 35(1): 1-10.

图/表 1

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