Global Trends of Computational Fluid Dynamics to Resolve Real World Problems in the Contemporary Era

Author(s): Nikita Gupta, Nishant Bhardwaj, Gulam Muhammad Khan, Vivek Dave*

Journal Name: Current Biochemical Engineering

Volume 6 , Issue 3 , 2020


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Abstract:

Background: Computational fluid dynamics (CFD) came into existence with great success, thereby replacing the traditional methods used to simulate the problems related to the flow of fluid. First CFD utilitarian was introduced to the world in 1957, which was developed by a team at Los Alamos National Lab. For tremendous performance and to meet the expected results with ease for modern process conditions, engineers are now more inclined towards the use of simulation software rather than traditional methods. Hence, in the current scenario with the advancement of computer technologies, “CFD is recognized as an excellent tool for engineers to resolve real-world problems.”

Introduction: CFD is defined as a branch of fluid dynamics which involves the use of numerical analysis and data structure to solve complications related to the flow of fluids (gasses or liquids). CFD is based on three major principles that are mass conservation, Newton's second law, and energy conservation. CFD has extended to a number of applications at an alarming rate in every field such as in aerospace, sports, food industry, engineering, hydraulics, HVAC (Heating, Ventilating, and Air conditioning), automotive, environmental, power generation, biomedical, pharmaceutical, and many more. Hence, a number of software like ANSYS, Open Foam, SimScale, Gerris, Auto desk simulation, Code_Saturne, etc, are beneficial in order to execute the operations, and to find the solution of realworld problems within a fraction of seconds.

Methods: CFD analysis involves three major steps; pre-processing, solution, and post-processing. Preprocessing deals with defining model goals, identification of domain, designing, and creating the grid. Solution involves setting up the numerical model, computing, and monitoring the solution; whereas, post-processing includes results of the examination and revision of the model.

Result: The review includes current challenges about the computational fluid dynamics. It is relevant in different areas of engineering to find answers for the problems occurring globally with the aid of a number of simulation-based software hereby, making the world free from complex problems in order to have a non-complicated scenario.

Conclusion: Computational fluid dynamics are relevant in each, and every kind of problem related to the fluid flow, either existing in the human body or anywhere. In the contemporary era, there are enormous numbers of simulation-based software, which provide excellent results with just one click, thereby resolving the problems within microseconds. Hence, we cannot imagine our present and upcoming future without CFD, which has ultimately made the execution of work easier, leaving behind non-complicating scenarios. Lastly, we can conclude that “CFD is a faster, smarter, and lighter way in designing process.”

Keywords: Computational fluid dynamics, experimental fluid dynamics, analytical fluid dynamics, fluid mechanics, preprocessing, post-processing.

[1]
C.A.S. Bergström, and P. Larsson, "Computational prediction of drug solubility in water-based systems: Qualitative and quantitative approaches used in the current drug discovery and development setting", Int. J. Pharm., vol. 540, no. 1-2, pp. 185-193, 2018.
[http://dx.doi.org/10.1016/j.ijpharm.2018.01.044 ] [PMID: 29421301]
[2]
A.S. Popinet, "Adaptive modelling of long-distance wave propagation and fine-scale flooding during the Tohoku tsunami", Nat. Hazards Earth Syst. Sci., vol. 12, no. 4, pp. 1213-1227, 2012.
[http://dx.doi.org/10.5194/nhess-12-1213-2012]
[3]
M. Rashidi, "Eskandarian, O. Mahian, S. Poncet, “Combination of nanofluid and inserts for heat transfer enhancement", J. Therm. Anal. Calorim., vol. 35, pp. 437-460, 2018.
[4]
S.S. Salutagi, M.S. Kulkarni, and A. Kulkarni, "Use of CFD technology in hydraulics system design for off-highway equipment and applications", Int. J. Mat. Mechan. Manufact., vol. 4, pp. 52-55, 2016.
[http://dx.doi.org/10.7763/IJMMM.2016.V4.224]
[5]
"Mergers, Acquisitions and joint ventures review", Reinforced Plastics., vol. 58, no. 1, pp. 42-46, 2014.
[http://dx.doi.org/10.1016/S0034-3617(14)70042-6]
[6]
P.V. Khandve, and R.E. Shelke, "Application of CFD in environmental engineering", Proceed. Nat. Semin. Technol. Innovat. Environ. Integ., vol. 2012, pp. 26-3, 2012.
[7]
C. George, "On Aerial Navigation", Nicholson J. Nat. Philos., vol. 2013, pp. 1809-1810, 2013.
[8]
O.A.B. Pires, R.T. Alarcon, C. Gaglieri, L.C. da Silva-Filho, and G. Bannach, "Synthesis and characterization of a biopolymer of glycerol and macadamia oil", J. Therm. Anal. Calorim., vol. 37, pp. 160-171, 2018.
[9]
C.k. Harris, "Computational Fluid Dynamics for chemical Reactor Engineering", Chem. Eng. Sci., vol. 15, no. 10, pp. 1569-1594, 1996.
[http://dx.doi.org/10.1016/0009-2509(96)00021-8]
[10]
W.Z. Zhang, S.R. Zhang, and X.H. Zhang, "“Numerical simulation and experimental analysis of interior flow field in control valves”, J Lanzhou Univ", Technol., vol. 34, no. 3, pp. 65-68, 2008.
[11]
Y. Wei, "The development and application of CFD technology in mechanical engineering", Mater. Sci. Eng., vol. 274, pp. 1-9, 2017.
[12]
M.C. Aydin, "Using CFD in Hydraulic Structures", Int. J. Scien. Technol. Res., vol. 1, no. 5, pp. 7-13, 2015.
[13]
M.E. Raman, "Computational fluid dynamics analysis of HVAC system in auditorium", Int. J. Adv. Res. Develop., vol. 1, no. 5, pp. 68-72, 2016.
[14]
R. Whalley, and A. Ameer, "Heating, ventilation and air conditioning system modeling", Build. Environ., vol. 46, pp. 643-656, 2011.
[http://dx.doi.org/10.1016/j.buildenv.2010.09.010]
[15]
Y. Fu, and M. Sha, "Thermal modeling for a HVAC controlled real-life auditorium", Therm. Eng., vol. 32, pp. 343-352, 2011.
[16]
T. Norton, and D.W. Sun, "An Overview of CFD Applications in the Food Industry", Taylor & Francis Group, pp. 2-14, 2007.
[17]
B. Xia, and D.W. Sun, "Applications of computational fluid dynamics (CFD) in the food industry: A review", Comput. Electron. Agric., vol. 34, pp. 5-24, 2002.
[http://dx.doi.org/10.1016/S0168-1699(01)00177-6]
[18]
C. Kato, M. Kaiho, and A. Manabe, "An overset finite-element large-eddy simulation method with applications to turbomachinery and aeroacoustics", Am. Soc. Mechan. Eng. J., vol. 70, pp. 32-43, 2003.
[http://dx.doi.org/10.1115/1.1530637]
[19]
H.S. Portal, C.J. Matice, and T.J. Fry, "The role of computational fluid dynamics in the pharmaceutical industry", Pharm. Technol., pp. 72-78, 2012.
[20]
M.J. Carré, S.R. Goodwill, and S.J. Haake, "Understanding the effect of seams on the aerodynamics of an association football", J. Mech. Eng. Sci., vol. 219, pp. 657-666, 2005.
[http://dx.doi.org/10.1243/095440605X31463]
[21]
C. Goong, X. Qingang, M. Philip, J. Paterson, G. Eric, A. Sergeev, and W.Y. Ching, "OpenFOAM for Computational Fluid Dynamics", Not. Am. Math. Soc., vol. 61, no. 4, pp. 354-363, 2014.
[http://dx.doi.org/10.1090/noti1095]
[22]
R.K. Hannaa, "CFD in Sport - a Retrospective; 1992 - 2012", Procedia Eng., vol. 34, pp. 622-627, 2012.
[23]
B. Orovio, C. Castro, F. Palacios, and E. Zuazua, "Continuous adjoint approach for the spalart-allmaras model in aerodynamic optimization", AIAA J., vol. 50, no. 13, 2012.
[24]
D. Marriott, T. Ohtomo, and T. Wako, "Complete multi-discipline simulation for sloshing noise", SAE Technical Paper, pp. 001-0672, 2015.
[http://dx.doi.org/10.4271/2015-01-0672]
[25]
I. Masic, J. Parojcic, and Z. Djuric, Computational fluid dynamics: Applications in pharmaceutical technology., Woodhead Publishing Limited, 2013, pp. 233-259.
[http://dx.doi.org/10.1533/9781908818324.233]
[26]
Z. Zhiqiang, "Application of computational fluid dynamics in building design: Aspects and trends", Indoor Built Environ., vol. 15, no. 4, pp. 305-313, 2005.
[27]
K.M. Robert, S.J. Spencer, and C. Bernardo, "To CG or to HDG: A Comparative Study", J. Sci. Comput., vol. 51, no. 1, pp. 183-212, 2011.
[28]
S.Y. Chen, and S.D. Rajan, "A robust genetic algorithm for structural optimization", Struct. Eng. Mechan. J., vol. 10, no. 4, pp. 313-336, 2000.
[http://dx.doi.org/10.12989/sem.2000.10.4.313]
[29]
https;//en.m.wikipedia.org/wiki/COSMOL_Multiphysics
[30]
https://en.wikipedia.org/wiki/RELAP5-3D
[31]
Y. Sergey, M. David, K.M. Robert, and S.J. Spencer, "To CG or to HDG: A Comparative Study in 3D", J. Sci. Comput., vol. 67, no. 1, pp. 192-220, 2015.
[32]
G. Mengaldo, D. Grazia, P.E. Vincent, and S.J. Sherwin, "On the connections between discontinuous galerkin and flux reconstruction schemes: Extension to curvilinear meshes", J. Sci. Comput., vol. 67, no. 3, pp. 1272-1292, 2015.
[http://dx.doi.org/10.1007/s10915-015-0119-z]


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Article Details

VOLUME: 6
ISSUE: 3
Year: 2020
Page: [136 - 155]
Pages: 20
DOI: 10.2174/2212711906999200601121232
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