Some Novelties in Aero Engine Design

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.

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Research on the Grey Correlation Analysis of the Norm in Choosing Key Factors of Aero-engine Design Integration System

MATEC Web of Conferences ◽

10.1051/matecconf/201822803006 ◽

2018 ◽

Vol 228 ◽

pp. 03006

Author(s):

Ying He ◽

Rui Xiu

Keyword(s):

Correlation Analysis ◽

Grey Relational Analysis ◽

Integration System ◽

Grey Correlation ◽

Relational Analysis ◽

Engine Design ◽

Aero Engine ◽

Grey Correlation Analysis ◽

Design Integration ◽

Grey Relational

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.

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Twenty-First Century Aero-Engine Design: The Environmental Factor

Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering ◽

10.1243/pime_proc_1990_204_218_02 ◽

1990 ◽

Vol 204 (2) ◽

pp. 119-134

Author(s):

J B Jamieson

Keyword(s):

Environmental Factor ◽

First Century ◽

Engine Design ◽

Aero Engine ◽

Twenty First Century

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Future Trends in Aero Engine Design - New Engine Concepts and Technology Trends

AIAA International Air and Space Symposium and Exposition: The Next 100 Years ◽

10.2514/6.2003-2612 ◽

2003 ◽

Author(s):

Klaus Rued

Keyword(s):

Future Trends ◽

Engine Design ◽

Aero Engine ◽

Technology Trends

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Progress in Aero-Engine Design

Nature ◽

10.1038/135836d0 ◽

1935 ◽

Vol 135 (3420) ◽

pp. 836-837

Keyword(s):

Engine Design ◽

Aero Engine

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Application and Development of Electronic Computers in Aero Engine Design and Manufacture

ASP Transactions on Computers ◽

10.52810/tc.2021.100025 ◽

2021 ◽

Vol 1 (1) ◽

pp. 6-11

Author(s):

Zhe Luo

Keyword(s):

Computer System ◽

System Configuration ◽

Development Goal ◽

Engine Design ◽

Aero Engine ◽

Cad Cam ◽

Electronic Computers ◽

Goal Implementation ◽

Design And Manufacture ◽

Implementation Steps

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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A Review of the Relative Merits of Petrol Injection and Carburettors for Aero Engines

Journal of the Royal Aeronautical Society ◽

10.1017/s0368393100104845 ◽

1939 ◽

Vol 43 (347) ◽

pp. 837-874

Author(s):

J. E. Ellor ◽

F. M. Owner

Keyword(s):

Fuel Injection ◽

The Other ◽

Design And Development ◽

Amount Of Information ◽

Engine Design ◽

Aero Engine ◽

The Subject ◽

Aero Engines

The subject of the carburettor as opposed t o fuel injection is one which has created much controversy in aero engine design and development. Current opinions both in this country and abroad are many and varied and it would be presumptuous to forecast which will eventually predominate. The object of this paper is to present an unbiased review in the hope of provoking a useful interchange of opinions and experiences.It might be argued that claims for one system can be countered by claims for the other and to be impartial it is necessary, therefore, to be familiar with as many facts and as much published information as possible. Owing to the meagre amount of information available on fuel injection, the paper is not as complete a review as the authors would wish, but it is hoped that sufficient material has been presented to be helpful to those who are interested in the subject.

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Decision Model of Aero-Engine Design Integration Platform Implementation Solution Selection Based on Number Interval Number with Priority Order

MATEC Web of Conferences ◽

10.1051/matecconf/201822803005 ◽

2018 ◽

Vol 228 ◽

pp. 03005

Author(s):

Ying He ◽

Rui Xiu

Keyword(s):

Evaluation Method ◽

Ideal Point ◽

Interval Number ◽

Relative Distance ◽

Integration Platform ◽

Implementation Model ◽

Engine Design ◽

Aero Engine ◽

Solution Selection ◽

Design Integration

Considering the fuzzy factors in the aero-engine design integration platform implementation solution selection, using the prioritized interval number evaluation method, the implementation model of the aero-engine design integration platform implementation solution selection is established, and the priority relationship is calculated according to the relative distance between each attribute and the ideal point. Through the calculation of the relative distance between the interval value and the negative ideal point, the single evaluation value is obtained. Finally, the comparison result of the pre-selected scheme is obtained by analysing and solving the preferred model. The model comprehensively considers the determining factors in the optimization process and uncertain factors, clear logic, and the best results obtained are comprehensive and reasonable.

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