FlowLab
FlowLab is a computational fluid dynamics (CFD) software package designed to help teach fluid mechanics and ;transport phenomena. Based on ready-to-use exercises, FlowLab eliminates the long learning curve associated ;with general fluid flow modeling packages, making it easy to deploy as part of the undergraduate or masters-level ;curriculum. With FlowLab, you can:;Reinforce basic concepts of fluid mechanics and heat/mass transfer using computer simulation ;Use computing exercises to augment and complement existing laboratory-based curriculum ;Expand the learning experience with real-world applications of fluid flow and heat/mass transfer ;Expose students to CFD and CFD concepts - an increasingly important skill in the job market ;FlowLab’s exercises are easy to customize and fit into your existing curriculum, even if you are not an expert in CFD.
Keywords for this software
References in zbMATH (referenced in 22 articles )
Showing results 1 to 20 of 22.
Sorted by year (- Frolkovič, Peter; Mikula, Karol; Hahn, Jooyoung; Martin, Dirk; Basara, Branislav: Flux balanced approximation with least-squares gradient for diffusion equation on polyhedral mesh (2021)
- Galtsev, Oleg Vladimirovich: The evolution of the free boundary separating two immiscible viscous fluids in an elastic porous medium (2020)
- Kalita, Paragmoni; Sarmah, Sidharth: A new diffusion-regulated flux splitting method for compressible flows (2019)
- Zhou, Shuwen; Wang, Yu: Analysis and optimization of a cyclone integrated with a cartridge filter in a hazardous materials collection truck (2019)
- Ambrosi, Davide (ed.); Liu, Chun (ed.); Röger, Matthias (ed.); Stevens, Angela (ed.): The mathematics of mechanobiology and cell signaling. Abstracts from the workshop held February 25--March 3, 2018 (2018)
- Kanatchikov, Igor V.: Schrödinger wave functional in quantum Yang-Mills theory from precanonical quantization (2018)
- Tu, Jiyuan; Yeoh, Guan Heng; Liu, Chaoqun: Computational fluid dynamics. A practical approach (2018)
- Arnold, Anton (ed.); Carlen, Eric A. (ed.); Desvillettes, Laurent (ed.): Classical and quantum mechanical models of many-particle systems. Abstracts from the workshop held December 3--9, 2017 (2017)
- Adimurthi, A.; Aggarwal, Aekta; Veerappa Gowda, G. D.: Godunov-type numerical methods for a model of granular flow (2016)
- Kalita, Paragmoni; Dass, Anoop Kumar; Sarma, Abhishek: Effects of numerical diffusion on the computation of viscous supersonic flow over a flat plate (2016)
- Kalita, P.; Dass, A. K.: A diffusion-regulated scheme for the compressible Navier-Stokes equations using a boundary-layer sensor (2016)
- Prabhu, L.; Srinivas, J.: Performance evaluation of two meta-heuristic schemes in airfoil design (2016)
- Constantine, P. G.; Emory, M.; Larsson, J.; Iaccarino, G.: Exploiting active subspaces to quantify uncertainty in the numerical simulation of the hyshot II scramjet (2015)
- Wolosz, Krzysztof J.; Wernik, Jacek: Three-dimensional flow optimization of a nozzle with a continuous adjoint (2015)
- Wołosz, Krzysztof J.; Wernik, Jacek: ICEEM07: three-dimensional flow optimization of a pneumatic pulsator nozzle with a continuous adjoint (2015)
- Martins, Nuno M. C.; Carriço, Nelson J. G.; Ramos, Helena M.; Covas, Dídia I. C.: Velocity-distribution in pressurized pipe flow using CFD: accuracy and mesh analysis (2014)
- Tu, Yijuan; Yeoh, Guan Heng; Liu, Chaoqun: Computational fluid dynamics. A practical approach. (2013)
- Garzón-Alvarado, Diego Alexander; Galeano, C. H.; Mantilla, J. M.: Computational examples of reaction-convection-diffusion equations solution under the influence of fluid flow: first example (2012)
- Del Coz Díaz, J. J.; García Nieto, P. J.; Castro-Fresno, D.; Menéndez Rodríguez, P.: Steady state numerical simulation of the particle collection efficiency of a new urban sustainable gravity settler using design of experiments by FVM (2011)
- Zheng, Chao-Rong; Zhang, Yao-Chun; Zhang, Wen-Yuan: Large eddy simulation of separation control over a backward-facing step flow by suction (2011)