A scientometric analysis and critical review of gas turbine aero-engines control: From Whittle engine to more-electric propulsion

Mohammadi, Seyed Jalal; Fashandi, Seyed Alireza Miran; Jafari, Soheil; Nikolaidis, Theoklis

doi:10.1177/0020294020956675

Cited by 10 publications

(4 citation statements)

References 154 publications

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“…Using this tool, one can analyze the records, authors, words, journals, and organizations, among others, to achieve useful indicators such as total local citation score (TLCS), total global citation score (TGCS), global citation score (GCS) and local citation score (LCS). An example of the implementation of this software in scientometrics can be found in references [37][38][39]. Another software that has been considered in the field of scientometrics in recent years is VOSviewer, using which bibliometric maps can be displayed graphically [39].…”

Section: Literature Of Co-word Analysismentioning

confidence: 99%

A Scientometric Methodology Based on Co-Word Analysis in Gas Turbine Maintenance

et al. 2023

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Evaluation of scientific journals has a profound effect on the future of scientific research so that different institutes and countries can set appropriate goals and invest with less risk in various scientific fields. Accordingly, this article presents a new method based on a combination of co-word analysis and social network analysis to extract the hotspot topics. Using HistCite, NodeXL, and VOSviewer, then combining their results, the desired analysis is conducted for six time periods. Based on the bibliographic parameters in HistCite and by defining an index, the first five periods are selected such that both quantity and quality of articles in each period are maximum compared to other years, while the sixth time period contains the latest research. For each of the six periods, the co-word networks as created in VOSviewer are analyzed. Next, based on a combination of network centralities developed in NodeXL, the hotspot keywords are specified which are then validated and aggregated using the bibliographic parameters in HistCite. The results reveal five important time periods in gas turbine maintenance. The hotspot keywords obtained for the last period show that in recent years, some topics including gas turbine fault prognosis, neural network-based approaches, big data analysis, sensor fault diagnosis, blade availability, economic analysis and useful life estimation are prominent subjects in gas turbine maintenance.

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Section: Literature Of Co-word Analysismentioning

confidence: 99%

A Scientometric Methodology Based on Co-Word Analysis in Gas Turbine Maintenance

et al. 2023

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“…-алгоритми керування двигуном [3,4]; -алгоритми визначення невимірюваних параметрів двигунів для керування та контролю технічного стану, а також моніторингу ресурсу [5,6];…”

Section: вони використовуються для вирішення наступних основних завданьunclassified

Формування Динамічних Моделей Газотурбінних Двигунів Для Використання В Системах Автоматичного Керування Та Контролю

Yepifanov,

Bondarenko

2023

aktt

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The subject of the study is the process of forming a mathematical model (MM) of an aviation gas turbine engine, which provides the calculation of parameters of the work process in stable and transient operating modes for use in the evaluation of dynamic characteristics, in the analysis and synthesis of automatic engine and aircraft control systems, as part of aviation simulators, and in on-board control and diagnostics algorithms. The goal is to substantiate the structure and methodology of MM formation, intended for use in real and accelerated time scale systems. Task: formulation of requirements for MM, substantiation of the interaction between static and dynamic submodels, substantiation of the composition of arguments and the way of considering the influence of external conditions, as well as the position of the elements of the mechanization of the gas flow duct. For this, the methods of the theory of airjet engines are used. The following results were obtained: the requirements for MM of aircraft gas turbine engines designed to solve the problems of engine and aircraft control were formulated, and the structural forms of MM were substantiated, which ensure high accuracy of modeling with minimal complexity and the possibility of real-time implementation. The scientific and practical novelty of the obtained results is as follows: the requirements for dynamic MM of aircraft engines have been summarized, the problems of structural implementation and combination of static and dynamic submodels, the rational selection of their input parameters and considering the influence of external conditions on static and dynamic characteristics have been analyzed, the software implementation of MM in in the Matlab Simulink environment of a two-shaft turbofan engine and compared the simulation results obtained using the developed simplified MM and the original nonlinear thermo-gas-dynamic model based on the solution of the joint operation equations of components. It is shown that in the working range of modes, the MM error does not exceed 5%, the dynamic errors of the rotor rotation frequencies are less than 4%, the compressor pressure and gas temperature are less than 7%, or the thrust is less than 10%. Errors in estimating the duration of acceleration and deceleration of the engine are within 0.2...0.6 s.

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“…First developed in the 1980s, it assumes that similar keywords in documents are a sign of proximity between them that enables to demarcate different structures, ideas, and components. Accordingly, the reader(s) can obtain an overview of important subjects and detect hidden relationships as well as possible interdependencies [9,10]. Other benefits of this technique include the development of hierarchical patterns of concepts and the ability to cluster relevant fields of knowledge.…”

Section: Scientometrics and Literature Reviewmentioning

confidence: 99%

Thermal Management System Architecture for Hydrogen-Powered Propulsion Technologies: Practices, Thematic Clusters, System Architectures, Future Challenges, and Opportunities

et al. 2022

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The thermal management system architectures proposed for hydrogen-powered propulsion technologies are critically reviewed and assessed. The objectives of this paper are to determine the system-level shortcomings and to recognise the remaining challenges and research questions that need to be sorted out in order to enable this disruptive technology to be utilised by propulsion system manufacturers. Initially, a scientometrics based co-word analysis is conducted to identify the milestones for the literature review as well as to illustrate the connections between relevant ideas by considering the patterns of co-occurrence of words. Then, a historical review of the proposed embodiments and concepts dating back to 1995 is followed. Next, feasible thermal management system architectures are classified into three distinct classes and its components are discussed. These architectures are further extended and adapted for the application of hydrogen-powered fuel cells in aviation. This climaxes with the assessment of the available evidence to verify the reasons why no hydrogen-powered propulsion thermal management system architecture has yet been approved for commercial production. Finally, the remaining research challenges are identified through a systematic examination of the critical areas in thermal management systems for application to hydrogen-powered air vehicles’ engine cooling. The proposed solutions are discussed from weight, cost, complexity, and impact points of view by a system-level assessment of the critical areas in the field.

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A scientometric analysis and critical review of gas turbine aero-engines control: From Whittle engine to more-electric propulsion

Cited by 10 publications

References 154 publications

A Scientometric Methodology Based on Co-Word Analysis in Gas Turbine Maintenance

A Scientometric Methodology Based on Co-Word Analysis in Gas Turbine Maintenance

Формування Динамічних Моделей Газотурбінних Двигунів Для Використання В Системах Автоматичного Керування Та Контролю

Thermal Management System Architecture for Hydrogen-Powered Propulsion Technologies: Practices, Thematic Clusters, System Architectures, Future Challenges, and Opportunities

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