Document Type : Articles

Authors

1 Alzahra University

2 Cranfield University

3 Iran University of Science and Technology

Abstract

The research aims to visualize and analyze the co-word network and thematic clusters of the intellectual structure in gas turbine thermal management during 1919-2020. The study is applied research in terms of the purpose, which is conducted with a descriptive approach, scientometrics indicators, techniques of co-word, and social network analysis. Data analysis and visualization of the co-word network were represented by VoS­Viewer, SPSS, UCINet, and python Software. The top scientific products in the last century were related to engineering subject area and published by the USA country. Seven main clusters were identified for the index keywords, and 20 main clusters were recognized for the author keywords in Scopus regarding the network structure and thematic clusters based on the co-occurrences. Moreover, 38 clusters were identified based on the hierarchical clusters. The clusters, namely heat flux calculations and radiation effects, thermal performance optimization, and operational considerations, have central and major positions in this field and have more potential to maintain and develop themselves in the future. The future of Research and Development (R&D) activities in the area will be focused on novel cycles, heat map development, and Techno-Economic and Risk Analysis (TERA) by utilizing systematic approaches for the identification of heat sinks and sources, fluid modeling, and environmental considerations. In addition, the emerging contributors in the field will be advanced manufacturing and material considerations.

Keywords

Afgan, S. & Bing, C. (2021). Scientometric review of international research trends on thermal energy storage cement based composites via integration of phase change materials from 1993 to 2020. Construction and Building Materials, 278, 122344. https://doi.org/10.1016/j.conbuildmat.2021.122344
Ahmadi, H. & Osareh, F. (2017). Co-word analysis concept, definition and application. Librarianship and Information Organization Studies28(1), 125-145.
Borgatti, S. P., Everett, M. G. & Freeman, L. C. (2002). Ucinet 6 for Windows: Software for Social Network Analysis. Harvard, MA: Analytic Technologies.
Borri, E., Zsembinszki, G. & Cabeza, L. F. (2021). Recent developments of thermal energy storage applications in the built environment: A bibliometric analysis and systematic review. Applied Thermal Engineering, 189, 116666. https://doi.org/https://doi.org/10.1016/j.applthermaleng.2021.116666
Bortoluzzi, M., Correia de Souza, C., & Furlan, M. (2021). Bibliometric analysis of renewable energy types using key performance indicators and multicriteria decision models. Renewable and Sustainable Energy Reviews, 143, 110958. https://doi.org/https://doi.org/10.1016/j.rser.2021.110958
Callon, M., Courtial, J.-P. & Turner, W. (1986). Future Developments BT  - Mapping the Dynamics of Science and Technology: Sociology of Science in the Real World (M. Callon, J. Law, & A. Rip (eds.); pp. 211–217). Palgrave Macmillan UK. https://doi.org/10.1007/978-1-349-07408-2_12
Cho, J. (2014). Intellectual structure of the institutional repository field: A co-word analysis. Journal of Information Science, 40(3), 386–397. https://doi.org/10.1177/0165551514524686
Cobo, M. J., Lopez-Herrera, A. G. & Herrera-Viedma, E. (2011). An approach for detecting, quantifying, and visualizing the evolution of a research field: A Practical application to the fuzzy sets theory field. Journal of Informetrics, 5(1), 146-166. https://doi.org/10.1016/j.joi.2010.10.002
Darecki, M., Edelstenne, C., Enders, T., Fernandez, E., Hartman, P., Herteman, J.-P., Kerkloh, M., King, I., Ky, P., Mathieu, M., Orsi, G., Schotman, G., Smith, C. & Wörner, J.-D. (2011). Flightpath 2050 Europe’s Vision for Aviation. 28. European Commission. https://doi.org/10.2777/50266
De Campos, G. B., Bringhenti, C., Traverso, A. & Tomita, J. T. (2020). Thermoeconomic optimization of organic Rankine bottoming cycles for micro gas turbines. Applied Thermal Engineering, 164, 114477. https://doi.org/https://doi.org/10.1016/j.applthermaleng.2019.114477
Ding, Y., Chowdhury, G. G. & Foo, S. (2001). Bibliometric cartography of information retrieval research by using co-word analysis. Information Processing & Management, 37(6), 817–842. https://doi.org/https://doi.org/10.1016/S0306-4573(00)00051-0
Ganev, E. & Koerner, M. (2013). Power and thermal management for future aircraft. SAE Technical Papers, 7. https://doi.org/10.4271/2013-01-2273
Hu, C. P., Hu, J. M., Deng, S. L. & Liu, Y. (2013). A co-word analysis of library and information science in China. Scientometrics, 97(2), 369–382. https://doi.org/10.1007/s11192-013-1076-7
Huang, H., Spadaccini, L. J. & Sobel, D. R. (2002). Fuel-cooled thermal management for advanced aero engines. In Turbo Expo: Power for Land, Sea, and Air (Vol. 36061, pp. 367-376). https://doi.org/10.1115/GT2002-30070
Statistics, I. S. (2013). IBM Corp. Released 2013. IBM SPSS Statistics for Windows, Version 22.0. Armonk, NY: IBM Corp. Google Search.
Jafari, S. & Nikolaidis, T. (2018). Thermal Management Systems for Civil Aircraft Engines: Review, Challenges and Exploring the Future. Applied Sciences. https://doi.org/10.3390/app8112044
Jafari, S., Dunne, J. F., Langari, M., Yang, Z., Pirault, J.-P., Long, C. A. & Thalackottore Jose, J. (2017). A review of evaporative cooling system concepts for engine thermal management in motor vehicles. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 231(8), 1126–1143. https://doi.org/10.1177/0954407016674606
Jansen, R., Bowman, C., Jankovsky, A., Dyson, R. & Felder, J. (2017). Overview of NASA electrified aircraft propulsion (EAP) research for large subsonic transports. In 53rd AIAA/SAE/ASEE joint propulsion conference (p. 4701). https://doi.org/10.2514/6.2017-4701
Khademi, R. & Heidari, G. (2016). Mapping the intellectual structure of Information Management using Co-words during 1986 to 2012. Sciences and Techniques of Information Management, 2(2), 59-93.https://doi.org/10.22091/stim.2016.717
Khasseh, A. A., Soheili, F., Moghaddam, H. S., & Chelak, A. M. (2017). Intellectual structure of knowledge in iMetrics: A co-word analysis. Information Processing & Management, 53(3), 705–720. https://doi.org/https://doi.org/10.1016/j.ipm.2017.02.001
Lee, P.C. & Su, H.N. (2010). Investigating the structure of regional innovation system research Information Science. Innovation Organization & Management, 19(1), 71-85.
Mohammadi, S. J., Miran Fashandi, S. A., Jafari, S. & Nikolaidis, T. (2021). A scientometric analysis and critical review of gas turbine aero-engines control: From Whittle engine to more-electric propulsion. Measurement and Control, 54(5–6), 935–966. https://doi.org/10.1177/0020294020956675
Makkizadeh, F, Hazeri, A., Hosininasab, S. & Soheili F. (2016). Thematic analysis and scientific mapping of papers related to depression therapy in PubMed. Journal of Health Administration, 19(65), 51-63.
National Academies of Sciences, Engineering, and Medicine. (2016). Commercial aircraft propulsion and energy systems research: reducing global carbon emissions. National Academies Press. https://doi.org/10.17226/23490
Neff, M. & Corley, E. (2009). 35 years and 160,000 articles: A bibliometric exploration of the evolution of ecology. Scientometrics, 80(3), 657-682. https://doi.org/10.1007/s11192-008-2099-3
Noyons, E. C. M. & van Raan, A. F. J. (1998). Monitoring scientific developments from a dynamic perspective: Self-organized structuring to map neural network research. Journal of the American Society for Information Science, 49(1), 68–81. https://doi.org/10.1002/(SICI)1097-4571(1998)49:1<68::AID-ASI9>3.0.CO;2-1
Osareh, F., Soheili, F. & Mansouri, A. (2016). Scientometrics and Information Visualization, Isfahan University publishing, Isfahan.
Rossum, G. V. (1995). Python Software Foundation. Python Language Reference, Version 2.7. Retrieved from http://www.python.org
Salemi, N. & Koosha. K. (2014). Co-citation Analysis and Co-word Analysis in Bibliometrics Mapping: A Methodological Evaluation. Iranian Journal of Information processing and Management, 29(1), 253–266.
Sedighi, M., & Jalalimanesh, A. (2014). Mapping research trends in the field of knowledge management. Malaysian Journal of Library and Information Science, 19, 71–85.
Soheili, F., Sha'bani, A. & Khasseh A. (2016). Intellectual structure of knowledge in information behavior: A co-word analysis. Human Information Interaction, 2(4), 21-36.
Van Eck, N. J. and Waltman, L. (2018). VOSviewer manual. Retrieved from http://www. vosviewer. com/download/f-z2w2. pdf.
Van Heerden, A. S. J., Judt, D. M., Lawson, C. P., Jafari, S., Nikolaidis, T., & Bosak, D. (2020). Framework for integrated dynamic thermal simulation of future civil transport aircraft. AIAA Scitech 2020 Forum, 1 PartF. https://doi.org/10.2514/6.2020-1942
Whittaker, J. (1989). Creativity and Conformity in Science: Titles, Keywords and Co-word Analysis. Social Studies of Science, 19(3), 473–496. https://doi.org/10.1177/030631289019003004
Yan, B.-N., Lee, T.-S., & Lee, T.-P. (2015). Mapping the intellectual structure of the Internet of Things (IoT) field (2000–2014): a co-word analysis. Scientometrics, 105(2), 1285–1300. https://doi.org/10.1007/s11192-015-1740-1