Digital Intelligent Aeroengine
Revolutionary Technologies for Aeroengine
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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.
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.
This book is open access, which means that you have free and unlimited access Provides a comprehensive review of the rapidly expanding field of digital intelligent aeroengine Includes in-depth discussions on digital technology using for aeroengine Covers a vast array of special topics and applications illustrating the use artificial intellgence
Autor*in
Quanyong Xu
Themen in »Digital Intelligent Aeroengine«
Open Access Aeroengine Digital Engineering Model-based systems engineering Digital Thread Digital Twin System Simulation Collaborative integration environment Mixed Dimensional Simulation Virtual test Artificial intelligence Mechine learning AI Assisted Design