Data Science-Based Trend Analysis in Research and Development of Turbomachinery

verfasst von

Mark Zieße, Joerg r. Seume

Abstract

Due to the very nature of science, the dissemination of knowledge is constantly increasing. This effect is reinforced by globalisation itself, as well as by the Internet. As shown in this publication, this is reflected in the disproportionate increase in the number of publications, making it more difficult for organisations to identify technologies and trends relevant to the sector, and to take them into account in their research and development agenda. Both industry and research institutions are experiencing increased innovation pressure. This pressure is caused by globalisation-induced higher competition, as well as through requirements resulting from global challenges such as climate change. In addition, there are shorter product cycles and in particular an increase in computer-aided analysis methods. In order to be able to compete internationally, it is necessary for both industry and research institutions to identify current market trends, new technical developments and current as well as future challenges, and to take these into account in their strategic orientation. Only then will it possible to advance the further development of turbomachinery in a targeted manner. The objective of this paper is to identify current market trends, technical developments and challenges in the context of turbomachinery; an application programming interface (API) was employed to analyse the database of the www.elsevier.com website.

Organisationseinheit(en)

Institut für Turbomaschinen und Fluid-Dynamik

Typ

Aufsatz in Konferenzband

Publikationsdatum

18.10.2021

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

Ziele für nachhaltige Entwicklung

SDG 13 – Klimaschutzmaßnahmen

Elektronische Version(en)

https://doi.org/10.33737/gpps21-tc-286 (Zugang: Offen)