Digital Intelligent Aeroengine
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, sust...
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| Главные авторы: | , , , , , |
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| Формат: | Online |
| Язык: | английский |
| Опубликовано: |
Springer Nature
2025
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| Предметы: | |
| Online-ссылка: | ONIX_20251128T131701_9789819509423_20 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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| _version_ | 1869523835264434176 |
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| author | Xu, Quanyong Yang, Jiali Cao, Wenyu Hu, Zhongzhi He, Ai Liu, Kai |
| author_browse | Cao, Wenyu He, Ai Hu, Zhongzhi Liu, Kai Xu, Quanyong Yang, Jiali |
| author_facet | Xu, Quanyong Yang, Jiali Cao, Wenyu Hu, Zhongzhi He, Ai Liu, Kai |
| author_sort | Xu, Quanyong |
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-169599 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Springer Nature |
| publisherStr | Springer Nature |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1695992025-11-29T06:16:36Z Digital Intelligent Aeroengine Xu, Quanyong Yang, Jiali Cao, Wenyu Hu, Zhongzhi He, Ai Liu, Kai 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TR Transport technology and trades::TRP Aerospace and aviation technology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TT Other technologies and applied sciences::TTD Space science::TTDS Astronautics thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGB Mechanical engineering 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. 2025-11-29T06:16:36Z 2025-11-29T06:16:36Z 2025-11-28T12:19:59Z 2026 book ONIX_20251128T131701_9789819509423_20 https://library.oapen.org/handle/20.500.12657/108661 9789819509423 9789819509416 https://directory.doabooks.org/handle/20.500.12854/169599 eng Mechanical Engineering (R0) open access Springer Nature Springer 10.1007/978-981-95-0942-3 10.1007/978-981-95-0942-3 9fa3421d-f917-4153-b9ab-fc337c396b5a bec2ab17-1d24-451d-aa41-16874019c9c6 e06840e4-106f-423f-bba7-d034dee9cf25 9789819509423 9789819509416 Springer 252 Singapore [...] Tsinghua University 清华大学 10.13039/501100004147 open access |
| spellingShingle | 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TR Transport technology and trades::TRP Aerospace and aviation technology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TT Other technologies and applied sciences::TTD Space science::TTDS Astronautics thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGB Mechanical engineering Xu, Quanyong Yang, Jiali Cao, Wenyu Hu, Zhongzhi He, Ai Liu, Kai Digital Intelligent Aeroengine |
| title | Digital Intelligent Aeroengine |
| title_full | Digital Intelligent Aeroengine |
| title_fullStr | Digital Intelligent Aeroengine |
| title_full_unstemmed | Digital Intelligent Aeroengine |
| title_short | Digital Intelligent Aeroengine |
| title_sort | digital intelligent aeroengine |
| topic | 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TR Transport technology and trades::TRP Aerospace and aviation technology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TT Other technologies and applied sciences::TTD Space science::TTDS Astronautics thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGB Mechanical engineering |
| topic_facet | 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TR Transport technology and trades::TRP Aerospace and aviation technology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TT Other technologies and applied sciences::TTD Space science::TTDS Astronautics thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGB Mechanical engineering |
| url | ONIX_20251128T131701_9789819509423_20 |
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