Quanyong Xu, Yang Jiali, Cao Wenyu

Gebundenes Buch

Digital Intelligent Aeroengine

Revolutionary Technologies for Aeroengine

Beschreibung

This open access book provides a deep dive into the digitalization and intelligent technologies transforming the field of aircraft engines, offering insights into their critical importance and the challenges they aim to address. As the aerospace industry faces increasing demands for efficiency, sustainability, and innovation, digital and intelligent technologies have become essential tools in advancing aircraft engine design, performance optimization, and lifecycle management. These technologies are reshaping the way engines are developed and maintained, enabling breakthroughs in predictive maintenance, real-time diagnostics, and cross-disciplinary collaboration. However, achieving these advancements comes with significant challenges, such as data integration, simulation accuracy, and the need for seamless coordination among multiple disciplines.

This book begins by examining the current state of digital engine technologies, highlighting their role in improving design efficiency, operational safety, and cost-effectiveness. Through a detailed analysis, it identifies critical obstacles, such as the complexity of integrating heterogeneous data, achieving high-fidelity simulations, and optimizing whole-system performance in multi-disciplinary contexts. Moving beyond diagnostics, the text explores innovative approaches like digital twin-based simulation modeling, which combines physical models with real-world data to accurately predict engine behavior. It also introduces advanced methods for creating enhanced whole-engine system models, enabling multi-disciplinary collaboration to ensure design reliability and efficiency. A significant portion of this book is dedicated to the concept of the digital thread, a framework that ensures consistent data integration and automated workflows throughout the engine lifecycle. By leveraging digital threads, engineers can streamline design iterations, reduce uncertainties, and improve overall product quality.

Autor

Xu Quanyong is an associate research fellow  and digital engine scientist at Tsinghua University, holding a Ph.D. from Beihang University (2010). Since 2012, he has focused on aero engine research, exploring digital and intelligent transformation technology, multi-field coupling co-simulation, and high-load compressor aerodynamic design. He developed software for aero-engine aerodynamic thermodynamic massively parallel computing, applied in gas turbine and aero-engine performance simulation. Xu led the creation of the Tsinghua Digital Engine Simulation System (T-DESS), used in future aero engine development. He managed 15 research projects, published 38 papers, and holds 31 patents. Xu has won awards including the Geneva Invention Exhibition silver Award and industry-research cooperation Award. Yang Jiali, male, graduated with a Ph.D. from the Department of Computer Science and Technology at Tsinghua University in 2016. From 2016 to 2019, he conducted postdoctoral research at the same department. Between 2019 and 2022, he worked as a postdoctoral researcher and assistant researcher at the Institute for Aero Engine (IAE) of Tsinghua University, focusing on the research of a real-time model-driven immersive virtual operation system for aerospace engines. During this period, he served as the project leader for the virtual operation system of the Digital Engine Project (Phase I). Since December 2022, he has been working as an associate researcher, conducting research on multi-system co-simulation of digital engines, automatic generation of control code, and other related topics. He is currently the project leader for the system prototype of the Digital Engine Project (Phase II). Cao Wenyu is a senior engineer at the Institute for Aerospace Propulsion, Tsinghua University, is the lead for the structural prototype of Tsinghua University’s Digital Engine Project. He has been engaged in the overall structural design and strength research of aerospace engines for an extended period. As the overall structural leader, he has participated in the development of multiple turbofan/turbojet engines and micro gas turbines. Additionally, he has been a key contributor to several major projects, including the National Science and Technology Project, the Chinese Academy of Sciences for Key Topics in Innovation Engineering. In the field of digital engineering, he is responsible for developing critical technologies for the digital thread of aerospace engines. His primary research areas include the integration and traceability of multi-source heterogeneous data across design, simulation, and manufacturing, MBSE-based integrated structural design and simulation¿ and configuration management based on physical systems. Dr. Hu Zhongzhi is currently the chief researcher of Institute for Aero Engine of Tsinghua University. He was once the deputy director of the R&D center of China Aero-Engine Commercial Development and the deputy chief designer of the large passenger engine project. Previously, he served as a chief engineer, project manager, research manager, and department manager at General Electric Company in the United States. Before entering the academic field, he has more than 20 years of experience in the design, development, integration, testing, and airworthiness certification of aeroengine control systems and health management systems both domestically and internationally. The current research areas are multi-disciplinary modeling and simulation of aeroengine control systems, multivariable and multimodal fault-tolerant control, intelligent health management, and MBSE method research and application. He has more than 20 domestic and foreign patents and has published more than 60 papers.

Produktdetails

• Verlag: Springer / Springer Nature Singapore / Springer, Berlin / Tsinghua University
• Artikelnr. des Verlages: 89543060, 978-981-95-0941-6
• Seitenzahl: 252
• Erscheinungstermin: 21. Oktober 2025
• Englisch
• Abmessung: 235mm x 155mm
• ISBN-13: 9789819509416
• ISBN-10: 9819509416
• Artikelnr.: 74815091