Modeling of dielectric barrier discharge-induced fluid dynamics and heat transfer

Jayaraman, Balaji; Shyy, Wei

doi:10.1016/j.paerosci.2007.10.004

Cited by 109 publications

(63 citation statements)

References 117 publications

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“…A large amount of simulation studies have been conducted in order to simulate the underlying physics of the ionization process [11][12][13]. These vary in model complexity, from simple phenomenological models to first-principles fluid models [14]. Extended simulations for multi-species fluids have also been investigated [15].…”

Section: Introductionmentioning

confidence: 99%

Measurement of the body force field of plasma actuators

Kotsonis¹,

Ghaemi²,

Veldhuis³

et al. 2011

J. Phys. D: Appl. Phys.

143

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A novel technique is proposed and investigated for the estimation of the body force field resulting from the operation of a dielectric barrier discharge plasma actuator. The technique relies on the measurement of the spatio-temporal evolution of the induced velocity field using high-speed particle image velocimetry (PIV). The technique has the advantage of providing spatial distribution of the body force vector field. A full Navier-Stokes term decomposition is applied on the evolving field along with additional closure norms in order to decouple the pressure gradient and body force terms. Results are compared with load-cell measurements of the direct reaction force and also momentum balance calculations based on the PIV field. Agreement between the different methods is observed. The data can easily be incorporated in computational flow solvers and also be used for validation and calibration of numerical plasma models.

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Section: Introductionmentioning

confidence: 99%

Measurement of the body force field of plasma actuators

Kotsonis¹,

Ghaemi²,

Veldhuis³

et al. 2011

J. Phys. D: Appl. Phys.

143

View full text Add to dashboard Cite

show abstract

“…To solve this set of equations, the source terms are handled with 4th-order backward differentiation formula (BDF) and the Poisson equation with the algebraic multigrid method, and the second-order central difference and upwind methods are employed for the diffusion and convection terms, respectively [41]. The charged particle densities and electric field are coupled by solving the Poisson equation between the predictor and corrector steps where the first order source splitting is used as noted in Ref.…”

Section: Physical Modelmentioning

confidence: 99%

“…Gas pressure of helium is set as 300 mmHg, and the ion temperature is 300 K. The electron temperature is calculated as a function of the local electric field strength using a local field approximation approach, which is discussed in detail in Ref. [41]. …”

Section: Physical Modelmentioning

confidence: 99%

Surrogate-based modeling and dimension reduction techniques for multi-scale mechanics problems

Shyy

Cho

et al. 2011

Acta Mech Sin

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Successful modeling and/or design of engineering systems often requires one to address the impact of multiple "design variables" on the prescribed outcome. There are often multiple, competing objectives based on which we assess the outcome of optimization. Since accurate, high fidelity models are typically time consuming and computationally expensive, comprehensive evaluations can be conducted only if an efficient framework is available. Furthermore, informed decisions of the model/hardware's overall performance rely on an adequate understanding of the global, not local, sensitivity of the individual design variables on the objectives. The surrogate-based approach, which involves approximating the objectives as continuous functions of design variables from limited data, offers a rational framework to reduce the number of important input variables, i.e., the dimension of a design or modeling space. In this paper, we review the fundamental issues that arise in surrogate-based analysis and optimization, highlighting concepts, methods, techniques, as well as modeling implications for mechanics problems. To aid the discussions of the issues involved, we summarize recent efforts in investigating cryogenic cavitating flows, active flow control based on dielectric barrier discharge concepts, and lithium (Li)-ion batteries. It is also stressed that many multi-scale mechanics problems can naturally benefit from the surrogate approach for "scale bridging."

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“…'EwQ|=ywor= pwUm=t CqO=at pt=m pL w [12] 4 p}Uv=DB u=}QH [11] [16] "`HQt |wor= w [23] |@ QHD G}=Dv |OQmrta w |UOvy C=YNWt =@ hrDNt |=yQorta OQmrta QO |O=yvW}B |wor= "OyO|t x=Q= = Q |@ wr]t G}=Dv w xOw@ ; Q=m hrDNt '|O=yvW}B |wor= QO |O}rwD |=tUqB VQDUo pw] u}tND |HvUQ=@Da= CyH x@ |O}rwD u= QW}B |wQ}v u; QO xm xOW ?=NDv= [23] |wQ w QJUQ=O |@ QHD uwtR; |iQat QDt=Q=B wO u}= u=}t |]N |]=@DQ= w xOW s}UQD =tUqB pw] R= |a@=D CQwY Q= QmD = Q Q=m u}= OwN |O=yvW}B |wor= =@ R}v u= Q=mty w xO= Rxrr=O@a "CU= xOW xOy=Wt xm u=vJ "CU= xOW xO=O u=Wv G}=Dv u}= xU}=kt 4 pmW QO [16] [16] "`HQt pOt G}=Dv w [23] |wQ w QJUQ=O G}=Dv =@ QDt|r}t 35`]kt QO |QwLt CaQU |=yp}iwQB |xU}=kt "10 pmW [16] "`HQt pOt G}=Dv w [23] …”

mentioning

confidence: 99%