Design Optimization for Submerged Inlets

Taskinoglu, Ezgi S.; Knight, Doyle

doi:10.2514/6.2003-1247

Cited by 14 publications

(11 citation statements)

References 5 publications

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“…All the centrifugal angles in Eq. (25) are evaluated at the outlet boundary section. In the design examples, the objective function is to diminish engine face distortion and to increase total pressure recovery while maintaining a mass flow rate condition.…”

Section: Performance Coefficientsmentioning

confidence: 99%

“…For these reasons, numerous research on optimal intake design employs parametric studies, GBOM using finite difference method, or other global optimization method based on the modeling of design space. Unfortunately, these approaches only provide local shape modification rather than global shape design because of computational inefficiency for a large number of design variables [24,25,28]. Undoubtedly, flow control devices such as Gaussian bump, vortex generating vanes/jets substantially improve overall flow quality.…”

Section: Introductionmentioning

confidence: 98%

“…These performances are measured by various performance coefficients such as total pressure recovery, swirling coefficient, engine face distortion coefficient (DC), average circumferential distortion descriptor (DPCP), maximum radial distortion descriptor (DPRP mx ), and so on. Among the performance factors, many precedent experimental and computational research treated engine face distortion and total pressure recovery as the most critical indexes in intake design [1,24,25]. Engine face distortion represents the degree of flow non-uniformity at the engine face.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Automated design methodology of turbulent internal flow using discrete adjoint formulation

Lee

Kim

2007

Aerospace Science and Technology

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Section: Performance Coefficientsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Automated design methodology of turbulent internal flow using discrete adjoint formulation

Lee

Kim

2007

Aerospace Science and Technology

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“…Then, with the combined experimental and computational methods, three entrance parameters of the submerged inlet, namely the side edge angle, the ramp angle, and the characteristic parameter of aft lip, were observed to have significant effects on inlet performance [20]. In addition, the optimization tools were also introduced into the design of the submerged inlet [21][22][23][24]. Using both single-objective and multiobjective methods, an optimized inlet has been obtained with a relatively higher quality of airflow at the compressor face.…”

mentioning

confidence: 99%

Computational Study of a High-Performance Submerged Inlet with Bleeding Vortex

Dai-shu

Tan

Sun

et al. 2012

Journal of Aircraft

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Previous investigations on the submerged inlets show that the counter-rotating vortex pair originated from the side edge is helpful to inhale the external flow into the duct but increases the mixing loss of the inlet. To improve the performance of this type of inlet, a flow-control method based on a bleeding vortex is brought forward in this paper that is expected to use the positive effect of the vortex pair and to reduce the accompanied disadvantages.Computational results indicate that the control method is effective, with the total pressure recovery coefficient increased by 2.8% and the distortion index decreased by 51.0% at the design condition as compared with the baseline case. Furthermore, the impacts of slot location are also obtained, which underline the fact that it should be chosen carefully according to the transmitting path of the vortex pair. In addition, the drag analysis for the submerged inlet with flow control shows that it is promising for practical use with no extra drag penalty.of the inlet entrance impulse flux I in;y = y component of the inlet entrance impulse flux I out1 = inlet exit impulse flux I out1;x = x component of the inlet exit impulse flux I out1;y = y component of the inlet exit impulse flux I out2 = slot exit impulse flux I out2;x = x component of the slot exit impulse flux I out2;y = y component of the slot exit impulse flux L = distance between the slot and the aft lip M e = Mach number at the exit M 0 = freestream Mach number p = static pressure p b = back pressure p 0 = freestream static pressure P e = mass-averaged total pressure at the engine face P 0 = freestream total pressure P min 60 = minimum area-averaged total pressure over any 60 deg pie around the centroid of the engine face q avg = the area-averaged dynamic pressure over the entire engine face area v 0 = freestream velocity = angle of attack = boundary layer thickness at the entrance of the inlet 0 = freestream density = total pressure recovery coefficient Subscripts Avg = average value e = exit 0 = freestream Superscript = total or stagnation condition

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“…Trade studies have shown [12,13] that the inclusion of a fin inside the inlet provides a significant improvement in flow quality (Fig. 4).…”

Section: Problem Statementmentioning

confidence: 99%

Data Driven Design Optimization Methodology Development and Application

Zhao

Knight

Taskinoglu

et al. 2004

Computational Science - ICCS 2004

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Abstract. The Data Driven Design Optimization Methodology (DDDOM) is a Dynamic Data Driven Application System (DDDAS) developed for engineering design optimization. The DDDOM synergizes experiment and simulation in a concurrent integrated software system to achieve better designs in a shorter time. The data obtained from experiment and simulation dynamically guide and redirect the design optimization process in real or near-real time, and therefore realize the full potential of the Dynamic Data Driven Applications Systems concept. This paper describes the DDDOM software system developed using the Perl and Perl/Tk programming languages. The paper also presents the first results of the application of the DDDOM to the multi-objective design optimization of a submerged subsonic inlet at zero angle of attack and sideslip.

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Design Optimization for Submerged Inlets

Cited by 14 publications

References 5 publications

Automated design methodology of turbulent internal flow using discrete adjoint formulation

Automated design methodology of turbulent internal flow using discrete adjoint formulation

Computational Study of a High-Performance Submerged Inlet with Bleeding Vortex

Data Driven Design Optimization Methodology Development and Application

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