Research on the effect of car’s roll motion on the aerodynamic characteristics of high-speed car

Huang, Taiming; Yao, Yuan; Pan, Hao; Wang, Wei; Meng, Ying‐Ying; Guan, Chenglin

doi:10.1177/09544070211050364

Cited by 3 publications

(3 citation statements)

References 27 publications

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“…As demonstrated in Table 1, both the CFD numerical simulations and wind tunnel tests yielded Cd values within a 5% error margin for grid sizes of 21.9 and 29.3 million, with only a 1% error in both cases. This validation confirms the reliability of our numerical simulation method, which falls within the acceptable limits of the project’s requirements (Zhang et al , 2020; Huang et al , 2022). To optimize computational resources, we opted for a grid size of 21.9 million in this study.…”

Section: Numerical Simulation Methodssupporting

confidence: 81%

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The influence of vehicle body roll motion on aerodynamic characteristics under crosswind condition

Taiming,

Ma,

Zhang

et al. 2023

HFF

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Purpose The purpose of this study is investigate the transient aerodynamic characteristics of high-speed vehicle with body roll motion under crosswind condition to improve aerodynamic stability. Design/methodology/approach An overset mesh was used to simulate the rolling motion of the vehicle body. A wind tunnel experiment was conducted to validate the numerical method. Findings The results revealed that the vehicle’s aerodynamic characteristics changed periodically with the body’s periodic motion. In the absence of crosswind, the pressure distribution on the left and right sides of the vehicle body was symmetrical, and the speed streamline flowed to the rear of the vehicle in an orderly manner. The maximum aerodynamic lift observed in the transient simulation was −0.089, which is approximately 0.70 times that of the quasi-static simulation experiment. In addition, the maximum aerodynamic side force observed in the transient simulation was 0.654, which is approximately 1.25 times that of the quasi-static simulation experiment. Originality/value The aerodynamic load varies periodically with the vehicle body’s cyclic motion. However, the extreme values of the aerodynamic load do not occur when the vehicle body is at its highest or lowest position. This phenomenon is primarily attributed to the mutual interference of airflow viscosity and the hysteresis effect in the flow field, leading to the formation of a substantial vortex near the wheel. Consequently, the aerodynamic coefficient at each horizontal position becomes inconsistent during the periodic rolling of the vehicle body.

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Section: Numerical Simulation Methodssupporting

confidence: 81%

“…acceptable limits of the project's requirements (Zhang et al, 2020;Huang et al, 2022). To optimize computational resources, we opted for a grid size of 21.9 million in this study.…”

Section: Aerodynamic Characteristicsmentioning

confidence: 99%

The influence of vehicle body roll motion on aerodynamic characteristics under crosswind condition

Taiming,

Ma,

Zhang

et al. 2023

HFF

View full text Add to dashboard Cite

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“…Huang TM. et al [9] took the centerline of the two wheels of the symmetrical cross-section of the left wheel as the roll axis, established a simplified roll motion model by using the overlapping grid method, and studied the aerodynamic mechanism of the periodic roll motion of the body. The results show that the roll motion is closely related to the aerodynamic characteristics of the car, and the aerodynamic phase on the car is shifted due to the hysteresis effect, and the most dangerous position of the car can be obtained.…”

Section: Introductionmentioning

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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Feature Transformation Method for Wheel Hub Shape Based on Target Detection and Geometric Analysis

2023

Electronics

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Extracting and transforming shape features has been an important research domain in wheel hub design. The study of wheel hub design based on shape semantics, brand planning, and structural optimization requires regression analysis by using shape features and the corresponding variables to guide wheel hub design through the correlation model. The practical role of feature transformation in design is determined by its effectiveness, accuracy, and convenience. This process, however, has generally been handled manually in previous studies, limiting the universality and comprehensiveness of research outcomes. With the development of artificial intelligence, the automation of this process has become possible, ushering in the era of big data research for feature extraction and transformation. Hence, this study proposes a wheel hub feature transformation method based on target detection and geometric analysis. This method implements feature transformation in the following automation steps: (1) wheel hub feature point detection based on the YOLO model; (2) wheel hub feature grouping based on morphological parameters and position parameters; (3) feature point grooming based on geometric relations; and (4) parameter construction and transformation based on morphological features. Thus, an automatic, bidirectional, and morphological mechanism for transforming the parameters of a wheel hub shape can be developed. With the proposed transformation model, parameters related to the wheel hub shape and features can be transformed quickly, and the generative design of the wheel hub can be conducted based on big data.

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Research on the effect of car’s roll motion on the aerodynamic characteristics of high-speed car

Cited by 3 publications

References 27 publications

The influence of vehicle body roll motion on aerodynamic characteristics under crosswind condition

The influence of vehicle body roll motion on aerodynamic characteristics under crosswind condition

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

Feature Transformation Method for Wheel Hub Shape Based on Target Detection and Geometric Analysis

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