Multi-objective optimization design for the blade angles of hydraulic torque converter with adjustable pump

Zheng, Zhi-Ying; Liu, Quanzhong; Deng, Yong-Kang; Li, Biao

doi:10.1177/0954406220909853

Cited by 7 publications

(3 citation statements)

References 19 publications

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“…Due to the complexity of the working fluid flow within the HTC, it is not possible to numerically solve without certain simplifications and assumptions. Below are some simplifications and assumptions made for the computational model of the HTC [13].…”

Section: Computational Modelmentioning

confidence: 99%

Optimal Design of Torque Converter Blade Angle Based on Surrogate Model Method

Zhu

Li²,

Yang³

et al. 2023

J. Phys.: Conf. Ser.

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In this paper, the blade cascade system of the basic torque converter JQB2 is redesigned and changed into a hydraulic torque converter with an adjustable stator. Firstly, the basic torque converter cascade system is modified to realize the adjustable stator. In order to study the influence of the blade angles on the performance of the torque converter, the blade angles were parameterized. Taking the peak efficiency of the torque converter at the design opening as the optimization objection, the pump torque factor is not less than 90% of the initial torque converter as the constraint condition. The central composite experimental design method was used to generate 49 design points, and the Kriging surrogate model was selected to construct the response surface of efficiency and pump torque factor, and to verify the goodness of fit of the response surface, and then iteratively search for the optimal response surface. The peak efficiency of the optimized JQB2X is 89.7%, which is 1.6% higher than that before optimization. After optimization, the pump torque factor is 6.1×10−6, which is slightly lower than that of the basic torque converter, but it can still maintain the large capacity of the torque converter.

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Section: Computational Modelmentioning

confidence: 99%

Optimal Design of Torque Converter Blade Angle Based on Surrogate Model Method

Zhu

Li²,

Yang³

et al. 2023

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

show abstract

“…Surrogate-based optimization as an advantageous tool for research and development goals has been practical in various aspects of turbomachinery design and performance evaluation. [28][29][30][31][32][33] For instance, optimization of centrifugal fans for ventilating applications has been widely considered in several researches. [34][35][36] In Table 1, details of some related papers on the surrogate-based optimization of turbomachinery components are listed.…”

Section: Introductionmentioning

confidence: 99%

Optimization of a vacuum cleaner fan suction and shaft power using Kriging surrogate model and MIGA

Almasi

Ghorani

Haghighi

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part A:

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Optimization of vacuum cleaner fan components is a low-cost and time-saving solution to satisfy the increasing requirement for compact energy-efficient cleaners. In this study, surrogate-based optimization technique is used and for the first time it is focused on maximization of Airwatt parameter, which describes the fan suction power, as an objective function (Case II). Besides, the shaft power is minimized (Case I) as another optimization target in order to reduce the power consumption of the vacuum cleaner. 11 geometrical variables of 3 fan components including impeller, diffuser and return channel are selected as the optimization design variables. 80 training points are distributed in the sample space using Advanced Latin Hypercube Sampling (ALHS) technique and the outputs of sample points are calculated by means of CFD simulations. Kriging and RSA surrogate models have been fitted to the outputs of the sample space. Through coupling of constructed Kriging models and Multi-Island Genetic Algorithm (MIGA), the optimal design for each of the optimization cases is presented and evaluated using numerical simulations. A 20.22% reduction in shaft power in Case I and an improvement of 27.73% in Airwatt in Case II have been achieved as the overall results of this study. Despite achieving goals in both optimization cases, a slight decrease in Airwatt in Case I (−6.20%) and a slight increase in shaft power in Case II (+4.82%) are observed relative to primary fan. Furthermore, the Analysis of Variance (ANOVA) determines the importance level of design variables and their 2-way interactions on the objective functions. It was concluded that geometrical parameters related to all of the fan components must be considered simultaneously to conduct a comprehensive optimization. The reasons of enhancement in optimal cases compared with the reference design have been further investigated by analysis of the fan internal flow field. Post-processing of the CFD results demonstrates that the applied geometrical modifications cause a more uniform flow through the flow passages of the optimal fan components.

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“…1–3 With the gradual maturity of numerical simulation technology, some studies use numerical simulation to analyse the transient and steady-state flow fields of HTC. 4–8 Scholars found that steady-state calculations cannot calculate the transient characteristics and cannot correctly predict the true flow of fluids. 9,10 However, the three-dimensional transient full channel model can be used to better predict the true flow state of fluid.…”

Section: Introductionmentioning

confidence: 99%

Effect of the blade shaped by Joukowsky airfoil transformation on the characteristics of the torque converter

Pan

Chen

Sun³

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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Cavitation is common in traditional torque converters whose blades are designed by beam theory; the blade curvature is discontinuous and cannot be analysed by functions. In this paper, the YJH265 torque converter is used as the prototype to reconstruct the stator blades with Joukowsky airfoil transformation. Computational Fluid Dynamics (CFD) is used analyse the flow field in the torque converter with the three-dimensional transient full flow channel. Combined with experiments, cavitation is found at the exit of the YJH265 torque converter stator. This is the same as the cavitation position of different torque converters studied by other scholars, and the flow state at the simulation outlet is high vacuum, boundary layer separation and high turbulent kinetic energy. Without changing the angle and chord length, the stator blades were reshaped and simulated with the optimised Joukowsky airfoil. As a result, the boundary layer separation phenomenon disappeared, the vacuum degree and turbulent kinetic energy were reduced, the torque ratio increased by 0.175 (5.6%), and the efficiency increased by 4.9%. To conclude, the optimised Joukowsky airfoil can be used in the design of stator blades, and its streamline is consistent with the fluid dynamics characteristics, which greatly reduces the probability of cavitation and improves the performance and service life of the torque converter.

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Multi-objective optimization design for the blade angles of hydraulic torque converter with adjustable pump

Cited by 7 publications

References 19 publications

Optimal Design of Torque Converter Blade Angle Based on Surrogate Model Method

Optimal Design of Torque Converter Blade Angle Based on Surrogate Model Method

Optimization of a vacuum cleaner fan suction and shaft power using Kriging surrogate model and MIGA

Effect of the blade shaped by Joukowsky airfoil transformation on the characteristics of the torque converter

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