Inverse design of 2-D subsonic ducts using flexible string algorithm

Nili-Ahmadabadi, Mahdi; Durali, Mohammad; Hajilouy-Benisi, Ali; Ghadak, Farhad

doi:10.1080/17415970903047451

Cited by 23 publications

(6 citation statements)

References 10 publications

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“…By improving the aforementioned flow parameter distributions, the geometry profile can be inversely designed to increase the aerodynamic load, decrease the drag force, or decrease the flow losses [7]. Inverse design methods only calculate the unknown boundaries corresponding to the distribution of the target flow parameter along the boundaries, and they cannot obtain the optimal geometry [8]. From the viewpoint of engineering application, the inverse problem technique is desirable because it requires a much smaller number of flow simulations than the numerical optimization does [9].…”

Section: Introductionmentioning

confidence: 99%

Aerodynamic Inverse Design of Transonic Compressor Cascades with Stabilizing Elastic Surface Algorithm

et al. 2021

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The upgraded elastic surface algorithm (UESA) is a physical inverse design method that was recently developed for a compressor cascade with double-circular-arc blades. In this method, the blade walls are modeled as elastic Timoshenko beams that smoothly deform because of the difference between the target and current pressure distributions. Nevertheless, the UESA is completely unstable for a compressor cascade with an intense normal shock, which causes a divergence due to the high pressure difference near the shock and the displacement of shock during the geometry corrections. In this study, the UESA was stabilized for the inverse design of a compressor cascade with normal shock, with no geometrical filtration. In the new version of this method, a distribution for the elastic modulus along the Timoshenko beam was chosen to increase its stiffness near the normal shock and to control the high deformations and oscillations in this region. Furthermore, to prevent surface oscillations, nodes need to be constrained to move perpendicularly to the chord line. With these modifications, the instability and oscillation were removed through the shape modification process. Two design cases were examined to evaluate the method for a transonic cascade with normal shock. The method was also capable of finding a physical pressure distribution that was nearest to the target one.

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Section: Introductionmentioning

confidence: 99%

Aerodynamic Inverse Design of Transonic Compressor Cascades with Stabilizing Elastic Surface Algorithm

et al. 2021

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“…The physical-based methods are easier and quicker than the mathematical (or optimization based) iterative schemes. Nili-Ahmadabadi et al (2009) presented an iterative inverse design method for internal flows called Flexible String Algorithm (FSA). They considered the duct wall as a flexible string frequently deformed under the difference between TPD and CPD, ∆PD = TPD -CPD.…”

Section: Introductionmentioning

confidence: 99%

Three-Dimensional Design of Axial Flow Compressor Blades Using the Ball-Spine Algorithm

Madadi¹,

Kermani

Nili³

2015

JAFM

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Recently a new inverse design algorithm has been developed for the design of ducts, called ball-spine (BS). In the BS algorithm, the duct walls are considered as a set of virtual balls that can freely move along some specified directions, called 'spines'. Initial geometry is guessed and the flow field is analyzed by a flow solver. Comparing the computed pressure distribution (CPD) with the target pressure distribution (TPD), new balls positions for the modified geometry are determined. This procedure is repeated until the target pressure is achieved. In the present work, the ball-spine algorithm is applied to three-dimensional design of axial compressor blades. The design procedure is tested on blades based on NACA65-410 and NACA65-610 profiles and the accuracy of the method is shown to be very good. As an application, the pressure distribution of the blade with NACA65-610 profiles is modified and the pressure gradient in the aft part of the blade is decreased and selected as target pressure distribution. The corresponding geometry which satisfies the target pressure is determined using the BS design algorithm.

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“…They developed this method for inviscid compressible [8,9] and viscous incompressible internal flow regimes [10]. They developed this method for inviscid compressible [8,9] and viscous incompressible internal flow regimes [10].…”

Section: Introductionmentioning

confidence: 99%

Aerodynamic Design of S-Shaped Diffusers Using Ball–Spine Inverse Design Method

Madadi

Kermani

Nili-Ahmadabadi

2014

Journal of Engineering for Gas Turbines and Power

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Recently, an inverse design algorithm called hall-spine algorithm (BSA) was introduced for the design of 2D ducts. In this approach, the walls are considered as a set of virtual balls that can move freely along the straight directions called spines. In the present work, the method is developed for quasi-three-dimensional (quasi-3D) design of S-shaped ducts with a predefined width. To do so, the upper and lower lines of the S-duct symmetric sec tion are modified under the BSA and then, the 3D S-duct geometry is obtained based on elliptic cross-sectional profiles. The target pressure distributions (TPDs) along the upper and lower lines are prescribed so that separation does not occur. Finally, the flow through the designed S-duct is numerically analyzed using a viscous flow solver with the SST turbulence model to validate the designed S-duct performance. The performance of the designed S-duct is compared to original and optimized versions of a benchmark Sduct diffuser. Results show that the present S-duct has a better performance.

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Inverse design of 2-D subsonic ducts using flexible string algorithm

Cited by 23 publications

References 10 publications

Aerodynamic Inverse Design of Transonic Compressor Cascades with Stabilizing Elastic Surface Algorithm

Aerodynamic Inverse Design of Transonic Compressor Cascades with Stabilizing Elastic Surface Algorithm

Three-Dimensional Design of Axial Flow Compressor Blades Using the Ball-Spine Algorithm

Aerodynamic Design of S-Shaped Diffusers Using Ball–Spine Inverse Design Method

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