This book concentrates on high-fidelity numerical methods for predicting internal flows within aeroengines' compressors. A distinctive features of this work is the establishment of a comprehensive research framework. Specifically, it starts with engineering application requirements and integrates high-performance parallel algorithms to develop detached eddy simulation (DES)-series methods tailored to the needs of compressor design. Additionally, it encompasses the development of data analysis methods suitable for handling the "vast" amounts of high-fidelity unsteady flow data in compressors and the high spatial resolution experimental results. This book takes us from making the intricate details of compressor flow field structures "visible" to explainable. Another noteworthy aspect of this book is its practical orientation, seamlessly intergrating theoretical concepts with practical applications. Herein, it addresses three major engineering problems in detail and elucidates the technical approaches involving advanced numerical methods and data analysis techniques for solving these physical problems.

The book highlights the challenging issues associated with complex internal flows in compressors, the governing equations for DES-series methods, and the implementation strategies for numerical simulations of internal compressor flows. They also delve into data-driven analysis methods for unsteady flow field data, high-fidelity numerical simulations of flow in the blade root region of compressors, dynamic flow capture methods in the tip region of compressor blades, and simulation and analysis of flow fields in inlet distortion generators.

This book serves as a valuable reference for researchers and engineering professionals in the aerospace, computational fluid dynamics, and high-performance turbomachinery fields. Additionally, it can be used as a specialized textbook for doctoral and master's students in disciplines such as aerospace science and technology, power engineering, and engineering thermophysics.

Discusses the challenges posed by applying DES-series methods in complex compressor flow field Novel framework reveals and clarifies complex compressor flow field structures Demonstrates the advantages of applying the advanced methods to practical physical issues of compressors flow field

Autorentext

Dr. Ruiyu Li, Professor at Northwestern Polytechnical University, completed her postdoctoral research at Xi'an Jiaotong University under the supervision of Professor Mingjiu Ni, a recipient of the National Science Fund for Distinguished Young Scholars and a Changjiang Scholar. She has been a visiting scholar at the University of Southampton and the University of Strathclyde in the UK and was selected for the Shaanxi Youth Talent Lifting Program. Dr. Li has published 17 journal papers as the first or corresponding author, with a total of 284 citations. Her work includes 11 SCI-indexed papers and 5 EI-indexed papers. She is the editor of one Chinese monograph and one chapter in an English monograph. She holds 6 authorized/applied invention patents and 3 software copyrights. She has been invited to deliver 6 academic presentations and has participated in 10 international and domestic academic conferences. Her research focuses on high-fidelity numerical simulation of compressor flow fields and unsteady experimental measurement techniques. She has led 12 projects, including those funded by the National Natural Science Foundation of China, the China Postdoctoral Science Foundation, and National Key Laboratory projects. Her accolades include the Third Prize for National Defense Technological Invention, the Shaanxi Province Excellent Doctoral Dissertation Award, Northwestern Polytechnical University's Excellent Doctoral Dissertation Award, and the National Doctoral Scholarship. Dr. Li is the chair of the Turbulence Section for the ICTAM2024 international conference, a member of the Chinese Society of Aeronautics and Astronautics, the Shaanxi Association of Women Scientists, and a member of ASME and AIAA. Limin Gao holds is a professor at the School of Power and Energy within Northwestern Polytechnical University, Xi'an, China. She also serves as the Deputy Director of The National Key Laboratory of Aerodynamic Design and Research. She has been engaged in fundamental research in the aerodynamics of high-performance compressor, which cover the aeras of numerical method for transonic internal flow, advanced internal flow measurement techniques, and design method for high-performance compressor. Professor Gao has taken the lead on over 20 research projects at both national and provincial levels. Her outstanding contributions have been recognized with numerous awards, including first, second, and third prizes for science and technology progress/invention award at the provincial and ministerial levels. In addition to her research endeavors, Prof. Gao has been invited to present at more than 20 domestic and international academic conferences, authored over200 academic papers, and holds 37 granted patents and software copyrights. She has also served as an expert reviewer for national and provincial-level projects and as an expert for the Ministry of Education's discipline assessment Lei Zhao, an associate professor at Northwestern Polytechnical University, is engaged in research related to high-performance advanced computing and numerical simulation of internal flow in aircraft engines. He has led and participated in major projects funded by the National Natural Science Foundation, including both key projects and projects aimed at supporting young researchers, as well as projects under the National Key Research and Development Program and funding from national key laboratories. Additionally, Prof. Zhao serves as an expert in high-performance computing applications research at Huawei Technologies Co., Ltd.

Inhalt

Introduction.- Flow control equations and DES series methods.- High fidelity numerical method for compressor flow field based on DES.- Data mining methods for massive high fidelity flow field data.- Application for capturing largescale corner separation within compressor blade hub region.- Application for capturing leakage flow within compressor blade tip region.- Application for capturing dynamic distortion within a compressor inlet distortion generator.