Mathematical modelling for wave drag optimization and design of high-speed aircrafts
Springer Proceedings in Mathematics and Statistics, ISSN: 2194-1017, Vol: 195, Page: 109-132
2017
- 1Citations
- 2Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations1
- Citation Indexes1
- CrossRef1
- Captures2
- Readers2
Conference Paper Description
Supersonic flight has been the subject of last half century. Both civil and defence projects have been running to design an aircraft to fly faster than speed of sound. Developing technology and increasing experience of design leads to faster, fuel efficient, hence, ecological, long-ranged aircrafts. These vehicles make people live easy by shortening travel time, perform missions with powerful defence aircrafts and helping explore space. Aerodynamic design is the main argument of the high speed aircrafts improvement. Having less supersonic drag force, which is greater than the double of subsonic case for conventional aircraft, is the ultimate goal of the aircraft designers at supersonic speed. In this chapter, an aerodynamic characteristics of the entire configuration is optimized in order to reach this aim. Moreover, solver algorithm is validated with computational fluid dynamics simulations for different geometries at various speeds. The objective of this study is to develop a program which optimizes wave drag coefficient of high speed aircrafts by numerical methods.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85031313917&origin=inward; http://dx.doi.org/10.1007/978-3-319-55236-1_7; http://link.springer.com/10.1007/978-3-319-55236-1_7; https://dx.doi.org/10.1007/978-3-319-55236-1_7; https://link.springer.com/chapter/10.1007/978-3-319-55236-1_7
Springer Science and Business Media LLC
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