Design Optimization of Automotive Radiator Cooling Module Fan of Passenger Vehicle for Effective Noise Management Using CFD Technique

Tare, Kedar; Mukherjee, Uttiya; Vaidya, Rohit

doi:10.4271/2017-26-0183

Cited by 8 publications

(5 citation statements)

References 6 publications

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“…Due to their improved thermal characteristics, nano-coolants have proven to be good candidates for transferring heat more efficiently. A lot of work has been done around the world on the design of radiators, and several studies are underway intending to transfer the desired amount of heat by reducing the size as much as possible [701][702][703][704][705][706]. However, without improving the thermal characteristics of heat transferring fluid, this effort will not be successful.…”

Section: Automobile Applicationsmentioning

confidence: 99%

Recent advances on the fundamental physical phenomena behind stability, dynamic motion, thermophysical properties, heat transport, applications, and challenges of nanofluids

et al. 2022

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Section: Automobile Applicationsmentioning

confidence: 99%

Recent advances on the fundamental physical phenomena behind stability, dynamic motion, thermophysical properties, heat transport, applications, and challenges of nanofluids

et al. 2022

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“…The wall function is used to represent the distribution of physical quantities such as velocity, temperature, and turbulent energy in the boundary layer to solve the influence of the wall on the flow, and its wall equation can be a good correction of the turbulence model for the region affected by viscous forces. The wall function method needs to determine the height of the first layer grid node of the boundary layer [30], as shown in formula (19):…”

Section: ) Boundary Layer Meshingmentioning

confidence: 99%

Study on Aerodynamic Performance and Lightweight Multiobjective Optimization Design of Wheel With Entropy Weighted Grey Relational Analysis Methods

et al. 2022

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In order to improve the aerodynamic performance and optimization efficiency while wheel lightweight designing, a multi-objective optimization design method of wheel lightweight based on entropy weighted grey relational analysis (EGRA) was proposed in this article. The aerodynamic analysis finite element model of the assembled wheel was established, and the simulation accuracy was verified by experiments. Study the distribution law of performance parameters such as pressure and turbulent kinetic energy in flow field of the car, analyze the variation law of flow field velocity and turbulent intensity in front and rear wheel cavities of the assembled wheel, and analyze the cloud diagram distribution of temperature and surface convective heat transfer coefficient of the brake disc (hc). Research on the influence of wheels with different disc structures on the aerodynamic drag coefficient of the car (Cd) and the hc. Combined with grey relational analysis (GRA) and EGRA, the objective evaluation of the comprehensive aerodynamic performance of wheels with different disc structures was given. With the design of experiments (DOEs), 12 important design variables were screened out by contribution analysis method. Using the approximate model method, combined with the RBF surrogate model, a hybrid method combining EGRA and Non-Dominated Sorting Genetic Algorithm-II (NSGA-II) was proposed to lightweight and multi-objective optimize the assembled wheel. Comparing and analyzing the optimization platform recommending scheme, the technique for ordering preferences by similarity to ideal solution (TOPSIS) method preferring scheme and the EGRA method optimum scheme, it was found that the optimal compromise scheme was obtained by the EGRA method, the reduction of the Cd was more obvious, and the improvement rates of performance were also more balanced. After multi-objective optimization, the mass of the assembled wheel was reduced by 10.83%, the Cd was reduced by 3.47%, and the average convective heat transfer coefficient of brake disc (ha) was reduced by 8.02%. The optimized assembled wheel has a weight reduction of 32.74% compared with the same type of cast aluminum alloy wheel, which has a remarkable lightweight effect and significant reduction on the Cd.

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“…The wall function is used to represent the distribution of physical quantities such as velocity, temperature, turbulent energy of the boundary layer to solve the impact of wall on the flow and correct the turbulence model well for the region affected by the viscous force. 47 Boundary layers' first layer thickness needs determining the wall-function method which is calculated as follows.…”

Section: Meshingmentioning

confidence: 99%

Analysis and multi-objective optimization design of wheel based on aerodynamic performance

Wang

Zhang

et al. 2019

Advances in Mechanical Engineering

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In the past studies, the influence of wheel structure design and optimization on the aerodynamic drag of car and heat transfer performance of brake disc was less studied. To study the influence mechanism, the finite element model for wheel aerodynamic analysis was established using computational fluid dynamic method and the correctness of the model was verified by the wind tunnel test data. The influence mechanism of the flow field on aerodynamic drag of car and wheel and heat transfer performance of brake disc was studied. The influence of wheel disc structure on aerodynamic drag coefficient of the car and average convective heat transfer coefficient of the brake discs was studied. The parametric model of the wheel under the computational fluid dynamic analysis was established using mesh morphing technology. A total of 100 and 10 sample points were extracted using the Hammersley Design and Optimal Latin Hypercube Design, respectively, to fit the radial basis function surrogate model and test the accuracy of the surrogate model. Based on the established surrogate model, taking the minimum of the wheel mass, the minimum of the aerodynamic drag coefficient of the car and the maximum of the average surface convective heat transfer coefficient of brake discs as objectives and design variables of wheel as constraints to ensure the wheel structural strength, the non-dominated sorting genetic algorithm was adopted to carry out multi-objective optimization design for the wheel. Pareto frontier was obtained and a compromise solution was selected as the optimization design result. After the optimization design, the wheel mass is reduced by 8.28%, the aerodynamic drag coefficient of the car is reduced by 3.17% and the average surface convective heat transfer coefficient of brake discs is increased by 9.31%.

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Design Optimization of Automotive Radiator Cooling Module Fan of Passenger Vehicle for Effective Noise Management Using CFD Technique

Cited by 8 publications

References 6 publications

Recent advances on the fundamental physical phenomena behind stability, dynamic motion, thermophysical properties, heat transport, applications, and challenges of nanofluids

Recent advances on the fundamental physical phenomena behind stability, dynamic motion, thermophysical properties, heat transport, applications, and challenges of nanofluids

Study on Aerodynamic Performance and Lightweight Multiobjective Optimization Design of Wheel With Entropy Weighted Grey Relational Analysis Methods

Analysis and multi-objective optimization design of wheel based on aerodynamic performance

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