Wave turbine analysis tool development

Welch, Gerard E.; Paxson, Daniel E.

doi:10.2514/6.1998-3402

Cited by 11 publications

(17 citation statements)

References 7 publications

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“…The level plots are made for temperature and pressure at the axial and circumferential location where observed based on the blade shape. The velocity profile for the three cases are compared with the data obtained by Paxson et al [4], matched very closely. One noticeable difference is that the velocity profile in the current work turns more sharply at the end of port opening than the profile from Paxson et al [4].…”

Section: American Institute Of Aeronautics and Astronauticsmentioning

confidence: 91%

“…The velocity profile for the three cases are compared with the data obtained by Paxson et al [4], matched very closely. One noticeable difference is that the velocity profile in the current work turns more sharply at the end of port opening than the profile from Paxson et al [4]. This difference can be attributed to improvement in resolution of numerical integration.…”

Section: American Institute Of Aeronautics and Astronauticsmentioning

confidence: 91%

“…The current model was verified using the previously published data of Paxson et al [4] who simulated the noncombusting flow in a single wave rotor channel. Three different wave rotor channel geometries were considered: (a) axially aligned; (b) -45° stagger and uncambered and (c) symmetric arc with 30° angle at the inlet and -30° at the exit.…”

Section: A Model Verification Using a Single Wave Rotor Port And Expmentioning

confidence: 99%

“…As the blades are symmetric, the meridional flow angle (Φ) is zero and the blockage term is given by 2 = 1 + tan 2 �� . The source terms F B , and Q C represent momentum source term and heat flux respectively [4]. The momentum source term and heat flux term contains the correlation terms that arise from averaging the momentum and energy equation.…”

Section: Numerical Modelingmentioning

confidence: 99%

“…Most wave rotor designs use straight axial channels with or without combustion, but curved channels can be used to create a "wave turbine" that produces shaft power. Within a wave rotor combustor with curved channels, turning of the flow transfers energy from the gas to the blades as it moves from inlet to exit and producing a reaction torque [4]. This shaft output can be used to deliver power by spinning a generator or thrust fan or compressor upstream, thus augmenting conventional turbine work when used in a gas turbine.…”

Section: Introductionmentioning

confidence: 99%

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Wave Rotor Combustor Turbine Model Development

Jagannath¹,

Bane²,

Nalim³

2015

51st AIAA/SAE/ASEE Joint Propulsion Conference

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A quasi-one-dimensional code previously developed for axial wave rotor channels with on-rotor combustion is now extended for curved and canted channels to study the physics of a wave rotor combustor turbine. The unsteady gas dynamics in a wave rotor channel provides pressure exchange through travelling waves. Having on-rotor combustion will provide compression, combustion and expansion in a single device. Additionally, having a curved or a canted profile allows energy transfer from the gas to the blade due to flow turning, resulting in reaction torque. Prior work on modeling curved and canted channels without combustion and on axial channels with combustion are used for code verification. NomenclatureTangential velocity component U B = Internal energy at state B U A = Internal energy at state A h = Enthalpy p = Pressure u x = Axial component of channel velocity u θ = Tangential component of channel velocity F B = Momentum source term F C = Source term for blade stress Q C = Source term for heat flux S = Channel cross-sectional area = Channel length = Channel width (related to opening time) ̇ = Mass flow rate β = Blade angle ρ = Density Ω = Angular Velocity = Mean line radius χ = Source Vector

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Section: American Institute Of Aeronautics and Astronauticsmentioning

confidence: 91%

Section: American Institute Of Aeronautics and Astronauticsmentioning

confidence: 91%

Section: A Model Verification Using a Single Wave Rotor Port And Expmentioning

confidence: 99%

Section: Numerical Modelingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Wave Rotor Combustor Turbine Model Development

Jagannath¹,

Bane²,

Nalim³

2015

51st AIAA/SAE/ASEE Joint Propulsion Conference

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Numerical optimisation of a micro-wave rotor turbine using a quasi-two-dimensional CFD model and a hybrid algorithm

Tüchler

Copeland

2021

Shock Waves

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Wave rotors are unsteady flow machines that exchange energy through pressure waves. This has the potential for enhancing efficiency over a wide spectrum of applications, ranging from gas turbine topping cycles to pressure-gain combustors. This paper introduces an aerodynamic shape optimisation of a power generating non-axial micro-wave rotor turbine and seeks to enhance the shaft power output while preserving the wave rotor’s capacity to function as a pressure-exchanging device. The optimisation considers six parameters including rotor shape profile, wall thickness, and number of channels and is done using a hybrid genetic algorithm that couples an evolutionary algorithm with a surrogate model. The underlying numerical model is based on a transient, reduced-order, quasi-two dimensional computational fluid dynamics model at a fixed operating condition. The numerical results from the quasi-two-dimensional optimisation indicate that the best candidate design increases shaft power by a factor of 1.78 and imply a trade-off relationship between torque generation and pressure exchange capabilities. Further evaluation of the optimised design using three-dimensional computational fluid dynamics simulations confirms the increase in power output at the cost of increased entropy production. It is further disclosed that increased incidence losses during the initial opening of the channel to the high-pressure inlet duct compromise the shock strength of the primary shock wave and account for the decrease in pressure ratio. Finally, the numerical trends are validated using experimental data.

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