Investigation of Flow Distortion Generated Forced Response of a Radial Turbine with Vaneless Volute

Huang, Zhi; Ma, Chaochen; Zhang, Hong

doi:10.1515/tjj-2017-0016

Cited by 5 publications

(4 citation statements)

References 18 publications

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“…Via numerical simulations of a twin-entry scroll with full turbine blades, Yokoyama et al (2014) studied the flow phenomena caused by engine exhaust pulsation and identified the characteristics of the flow processes that cause losses. Huang et al (2020) used an approach based on fluid–solid interaction to simulate an RT with a vaneless volute and examine the circumferential flow distortion of the turbine rotor caused by the volute tongue.…”

Section: Introductionmentioning

confidence: 99%

Multilevel method for predicting flow fields in radial turbines based on sparsity-promoting dynamic mode decomposition

Zheng

Yang

2023

HFF

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Purpose The purpose of this study is to propose a fast method for predicting flow fields with periodic behavior with verification in the context of a radial turbine to meet the urgent requirement to effectively capture the unsteady flow characteristics in turbomachinery. Aiming at meeting the urgent requirement to effectively capture the unsteady flow characteristics in turbomachinery, a fast method for predicting flow fields with periodic behavior is proposed here, with verification in the context of a radial turbine (RT). Design/methodology/approach Sparsity-promoting dynamic mode decomposition is used to determine the dominant coherent structures of the unsteady flow for mode selection, and for flow-field prediction, the characteristic parameters including amplitude and frequency are predicted using one-dimensional Gaussian fitting with flow rate and two-dimensional triangulation-based cubic interpolation with both flow rate and rotation speed. The flow field can be rebuilt using the predicted characteristic parameters and the chosen model. Findings Under single flow-rate variation conditions, the turbine flow field can be recovered using the first seven modes and fitted amplitude modulus and frequency with less than 5% error in the pressure field and less than 9.7% error in the velocity field. For the operating conditions with concurrent flow-rate and rotation-speed fluctuations, the relative error in the anticipated pressure field is likewise within an acceptable range. Compared to traditional numerical simulations, the method requires a lot less time while maintaining the accuracy of the prediction. Research limitations/implications It would be challenging and interesting work to extend the current method to nonlinear problems. Practical implications The method presented herein provides an effective solution for the fast prediction of unsteady flow fields in the design of turbomachinery. Originality/value A flow prediction method based on sparsity-promoting dynamic mode decomposition was proposed and applied into a RT to predict the flow field under various operating conditions (both rotation speed and flow rate change) with reasonable prediction accuracy. Compared with numerical calculations or experiments, the proposed method can greatly reduce time and resource consumption for flow field visualization at design stage. Most of the physics information of the unsteady flow was maintained by reconstructing the flow modes in the prediction method, which may contribute to a deeper understanding of physical mechanisms.

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Section: Introductionmentioning

confidence: 99%

Multilevel method for predicting flow fields in radial turbines based on sparsity-promoting dynamic mode decomposition

Zheng

Yang

2023

HFF

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Section: Introductionmentioning

confidence: 99%

“…Therefore, the turbocharger turbine wheel design needs to be more efficient, with a thinner blade thickness to meet the performance and low-speed response requirements, which makes the turbocharger turbine high-cycle-fatigue failure mode more prominent. 4,5 At present, the unsteady excitation problem of turbine wheels for automotive turbochargers has been extensively investigated. These investigations have mainly focussed on the interaction between the guide vane of the variable geometry turbocharger or variable nozzle turbine turbocharger and the turbine wheel, namely, the rotor-stator interaction.…”

Section: Introductionmentioning

confidence: 99%

Simulation and experimental investigation on vibration of a radial turbine wheel using a two-way FSI approach

Chen

Zhang

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part D:

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When turbine blades of a radial turbocharger are subjected to an unsteady aerodynamic load excitation force, high cycle fatigue of the turbine blades will occur when the excitation force reaches a certain level. The fatigue of the radial turbine wheel is affected by both static and dynamic stresses, and high cycle fatigue occurs when the dynamic stress reaches a certain amplitude. In this study, a two-way fluid–structure interaction (FSI) analysis method was used to predict the dynamic excitation force and dynamic response of the turbine wheel, which can precisely predict the forced vibration of the turbine wheel under the condition of rotor–stator interaction. A resonance intersection point was excited by the stator (turbine housing vortex tongue) of the radial turbocharger as the operating boundary condition, and the aerodynamic excitation caused by the rotor–stator interaction and the vibration amplitude of the turbine blade was predicted and analysed. A turbine blade dynamic measurement system (tip timing) was used to measure the dynamic deformation of turbine blades for turbochargers in real time. The simulation and measurement results showed that the errors of the predicted vibration displacements and measured mistuning blades were within the acceptable range, and the two-way FSI analysis method can precisely predict the forced vibration of the model.

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“…For a vaneless turbine, the flow distortion in the circumferential direction at volute exit is the most important source of aerodynamic excitation. Huang et al 10 discovered that a region of high pressure and low momentum appears downstream of the volute tongue, which is caused by the mixing of tongue wake and mainstream flow. When a blade sweeps by the tongue, pressure on the blade fluctuates drastically due to flow distortion, leading to blade excitation.…”

Section: Introductionmentioning

confidence: 99%

Influence of tip clearance distribution on blade vibration of vaneless radial turbine

Pan

Yang

Murae

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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As vehicle turbochargers are developed toward higher performance and lower turbo lag, high cycle fatigue (HCF) of radial turbine blades is becoming increasingly common which greatly threatens the reliability of turbochargers. Tip leakage vortex is one of potential sources of blade excitation and it’s profoundly influenced by blade tip clearance. This paper studies the influence of tip clearance distribution on blade excitation of a vaneless radial turbine via experimentally validated one-way fluid-structure interaction (FSI) numerical method. The results suggest that blade vibration response is significantly influenced by tip clearance distribution in the meridional direction. Generalized energy method is proposed to determine the key factors for blade excitation. The results manifest that complex distributions of harmonic pressure amplitude on the blade dominate blade vibration response. Detailed flow field analysis is carried out to further investigate the mechanism of blade excitation. The results show that distributions of harmonic pressure amplitude on pressure surface (PS) and suction surface (SS) are both dominated by tip leakage vortex, whereas the roles that tip leakage vortex plays are quite different. Specifically, tip leakage vortex influences harmonic pressure amplitude on SS directly because of short distance between vortex core and SS, whereas it influences harmonic pressure amplitude on PS indirectly by interfering the evolution of passage vortex. This research can guide new designs for durable vaneless radial turbines without sacrificing aerodynamic performance.

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Investigation of Flow Distortion Generated Forced Response of a Radial Turbine with Vaneless Volute

Cited by 5 publications

References 18 publications

Multilevel method for predicting flow fields in radial turbines based on sparsity-promoting dynamic mode decomposition

Multilevel method for predicting flow fields in radial turbines based on sparsity-promoting dynamic mode decomposition

Simulation and experimental investigation on vibration of a radial turbine wheel using a two-way FSI approach

Influence of tip clearance distribution on blade vibration of vaneless radial turbine

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