FLUENT is a Computational Fluid Dynamics (CFD) code for modelling fluid flow, heat transfer, mass transfer and chemical reactions.The FLUENT package includes interfaces to other pre- and post-processing programs. The UDF option enables the incorporation of user-developed models into FLUENT through user-defined functions.32 and 64 bit versions of the 2d and 3d single and double precision versions of Fluent have been installed.The primary CFD application on BlueBEAR is Ansys CFX - in particular, parallel licences have been purchased for CFX.. Fluent has ben installed to enable continued use of this application, but only serial (single core) jobs can be run.

References in zbMATH (referenced in 415 articles )

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  1. Fatahian, Hossein; Salarian, Hesamoddin; Nimvari, Majid Eshagh; Khaleghinia, Jahanfar: Computational fluid dynamics simulation of aerodynamic performance and flow separation by single element and slatted airfoils under rainfall conditions (2020)
  2. Malizia, Fabio; Blocken, Bert: CFD simulations of an isolated cycling spoked wheel: impact of the ground and wheel/ground contact modeling (2020)
  3. Niculescu, Mihai L.; Silber, Elizabeth A.; Silber, Reynold E.: Production of nitric oxide by a fragmenting bolide: an exploratory numerical study (2020)
  4. Vassilevski, Yuri; Terekhov, Kirill; Nikitin, Kirill; Kapyrin, Ivan: Parallel finite volume computation on general meshes (2020)
  5. Wang, Yanan; Hu, Zhiwei; Thompson, David: Numerical investigations on the flow over cubes with rounded corners and the noise emitted (2020)
  6. Barral, Patricia; Nicolás, Begoña; Pérez-Pérez, Luis Javier; Quintela, Peregrina: Numerical simulation of wear-related problems in a blast furnace runner (2019)
  7. Cheng, Ziqiang; Liu, Yuan; Zhang, Mengping; Wang, Jin: IB-WENO method for incompressible flow with elastic boundaries (2019)
  8. Das, Pramode K.; Anand, D. Vijay; Shaiju, A. J.; Patnaik, B. S. V.: Suboptimal control of circular cylinder wakes using van der Pol oscillator (2019)
  9. Du, Pan; Agarwal, Ramesh K.: Numerical drag prediction of NASA Common research models using different turbulence models (2019)
  10. Feng, Xing; Wu, Wanqing: Generation of water waves using momentum source wave-maker applied to a RANS solver (2019)
  11. Isaev, Sergey; Baranov, Paul; Popov, Igor; Sudakov, Alexander; Usachov, Alexander; Guvernyuk, Sergey; Sinyavin, Alexei; Chulyunin, Alexei; Mazo, Alexander; Demidov, Dennis; Dekterev, Alexander; Gavrilov, Andrey; Shebelev, Alexander: Numerical simulation and experiments on turbulent air flow around the semi-circular profile at zero angle of attack and moderate Reynolds number (2019)
  12. Jayakrishnan, R.; Tiwari, Shaligram: Influence of co-axial airflow and volume ratio on thermo-capillary convection in half floating zones (2019)
  13. Jiang, Xiaoxue; Xu, Yingqiao; Wang, Chuang; Meng, Linzhi; Lu, Huilin: Numerical simulations of gas-particle flow behavior created by low-level rotary-winged aircraft flight over particle bed (2019)
  14. Kim, Seong Hoon; Lee, Sang Won; Han, Sangmok; Kim, Sung-Min: Numerical investigation of thermal characteristics of spray cooling with minimum quantity lubrication in milling process (2019)
  15. Mei, Xiong; Gong, Guangcai: Characterizing transport and deposition of particulate pollutants in a two-zone chamber using a Markov chain model combined with computational fluid dynamics (2019)
  16. Pessoa, Diego Rodrigues; Finkler, Anelize Terezinha Jung; Machado, Alex Vinícius Lopes; Mitchell, David Alexander; de Lima Luz, Luiz Fernando jun.: CFD simulation of a packed-bed solid-state fermentation bioreactor (2019)
  17. Ren, Xingyue; Xiong, Fangjie; Qu, Ke; Mizutani, Norimi: Free surface flow simulation by a viscous numerical cylindrical tank (2019)
  18. Rodriguez, Sal: Applied computational fluid dynamics and turbulence modeling. Practical tools, tips and techniques (2019)
  19. Saiprakash, M.; Senthilkumar, C.; Kadam Sunil, G.; Rampratap, Singh Prakash; Shanmugam, V.; Balu, G.: Effects of angle of attack and bluntness on heating rate distribution of blunt models at hypersonic speeds (2019)
  20. Baydin, Atılım Güneş; Pearlmutter, Barak A.; Radul, Alexey Andreyevich; Siskind, Jeffrey Mark: Automatic differentiation in machine learning: a survey (2018)

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