Usage of Data Provenance Models in Collaborative Multi-Disciplinary Aero-Engine Design

2021 ◽  
Author(s):  
Stanislaus Reitenbach ◽  
Maximilian Vieweg ◽  
Carsten Hollmann ◽  
Richard Becker
Author(s):  
S. Reitenbach ◽  
M. Vieweg ◽  
C. Hollmann ◽  
R.-G. Becker

Abstract The collaborative multi-disciplinary design of aircraft engines is a complex and highly iterative process. An essential characteristic of this design process is the involvement of a large number of experts from different disciplines, as well as the usage of numerous tools and workflows. Large amounts of data are produced and need to be exchanged via a multitude of interfaces. Furthermore, the data undergoes various transformations in the course of the design process. Understanding where a certain piece of data originates from and how it is connected to other datasets becomes therefore progressively essential. The purpose of this paper is to present a methodology to apply data provenance models in collaborative multi-disciplinary aero-engine design, supported by an approach for data standardization and identification. Besides the methodology, the software implementation to support this approach is presented in detail, including automated capturing and storage of provenance data, as well as methods for data investigation. In addition the presented methodology is evaluated by means of practical examples from the field of preliminary aero-engine design.


2020 ◽  
Vol 142 (10) ◽  
Author(s):  
Stanislaus Reitenbach ◽  
Maximilian Vieweg ◽  
Carsten Hollmann ◽  
Richard G. Becker

Abstract The collaborative multidisciplinary design of aircraft engines is a complex and highly iterative process. An essential characteristic of this design process is the involvement of a large number of experts from different disciplines, as well as the usage of numerous tools and workflows. Large amounts of data are produced and need to be exchanged via a multitude of interfaces. Furthermore, the data undergo various transformations in the course of the design process. Understanding where a certain piece of data originates from and how it is connected to other datasets becomes therefore progressively essential. The purpose of this paper is to present a methodology to apply data provenance models in collaborative multidisciplinary aero-engine design, supported by an approach for data standardization and identification. Besides the methodology, the software implementation to support this approach is presented in detail, including automated capturing and storage of provenance data, as well as methods for data investigation. In addition, the presented methodology is evaluated by means of practical examples from the field of preliminary aero-engine design.


Author(s):  
Sonika Gogineni ◽  
Jörg Brünnhäußer ◽  
Kai Lindow ◽  
Erik Paul Konietzko ◽  
Rainer Stark ◽  
...  

Author(s):  
Yudong Liu ◽  
Min Chen ◽  
Hailong Tang

Abstract Aero engines that fit the future have now increasingly attracted the attention of aerospace industry and academia. With this trend, many research projects have been carried out to explore future aero engine technologies. This paper focuses on engine design field, and aims to satisfy the future flight missions that may be unpredictably varying. However, the intrinsic strong coupling of engine component matching mechanism blocks acceleration of engine design. Under this condition, this paper comes up with the concept of smart engine architecture that via a series of engine decoupling strategies, the components can be decoupled to an extent that by properly selecting and assembling them, an engine that satisfies certain flight mission can be designed, this is named mission-oriented pluggable design mode in this paper. Following this idea, a multi-purpose engine design scheme is presented to demonstrate the potential of this engine design mode, and further value of smart engine architecture is discussed.


2018 ◽  
Vol 228 ◽  
pp. 03006
Author(s):  
Ying He ◽  
Rui Xiu

The key influencing factor of accurate positioning aerospace design integration system is the basis of successful construction of design architecture integration platform. Normal grey relational analysis has better approximation than general grey relational analysis. The article analyses the effects of grey correlation analysis and aero-engine design integration system, and then based on t norm grey correlation analysis, determine the key influence factors of aerospace design integration system, a more true and accurate result is obtained.


1929 ◽  
Vol 1 (8) ◽  
pp. 275-276
Author(s):  
R. Giacomelli
Keyword(s):  

Nature ◽  
1935 ◽  
Vol 135 (3420) ◽  
pp. 836-837
Keyword(s):  

2021 ◽  
Vol 1 (1) ◽  
pp. 6-11
Author(s):  
Zhe Luo

This paper has introduced the development of CAD and CAM at home and abroad, especially the application in aero engine; The development goal, implementation steps and assumption of computer system configuration of CAD / CAM technology for aero engine in China are put forward combined with the current situation of CAD / CAM technology in China.


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