Evaluation of Tire Traction Performance on Dry Surface Based on Tire-Road Contact Stress

Liang, Chen; Liu, Ji; Mousavi, Hoda; Sandu, Corina

doi:10.1007/978-3-030-32564-0_17

Cited by 10 publications

(8 citation statements)

References 8 publications

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“…A time-resolved finite-element model was employed to simulate the growth and compression of CNT forests. − In brief, each CNT within the model consisted of interconnected 2D linear-elastic frame elements. Simulated CNTs grown from the film-catalyst method had a diameter of 20 nm and a CNT–CNT spacing of 100 nm (corresponding to 1 × 10 10 CNT/cm 2 ), whereas simulated CNTs grown by the floating-catalyst method had a diameter of 50 nm and a CNT–CNT spacing of 200 nm (corresponding to 2.5 × 10 9 CNT/cm 2 ).…”

Section: Experimental Proceduresmentioning

confidence: 99%

Growth and Mechanics of Heterogeneous, 3D Carbon Nanotube Forest Microstructures Formed by Sequential Selective-Area Synthesis

Hines

Hajilounezhad

Love-Baker

et al. 2020

ACS Appl. Mater. Interfaces

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Three-dimensional carbon nanotube (CNT) forest microstructures are synthesized using sequenced, site-specific synthesis techniques. Thin-film layers of Al2O3 and Al2O3/Fe are patterned to support film-catalyst and floating-catalyst chemical vapor deposition (CVD) in specific areas. Al2O3 regions support only floating-catalyst CVD, whereas regions of layered Al2O3/Fe support both film- and floating-catalyst CNT growth. Sequenced application of the two CVD methods produced heterogeneous 3D CNT forest microstructures, including regions of only film-catalyst CNTs, only floating-catalyst CNTs, and vertically stacked layers of each. The compressive mechanical behavior of the heterogeneous CNT forests was evaluated, with the stacked layers exhibiting two distinct buckling plateaus. Finite element simulation of the stacked layers demonstrated that the relatively soft film-catalyst CNT forests were nearly fully buckled prior to large-scale deformation of the bottom floating-catalyst CNT forests.

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Section: Experimental Proceduresmentioning

confidence: 99%

Growth and Mechanics of Heterogeneous, 3D Carbon Nanotube Forest Microstructures Formed by Sequential Selective-Area Synthesis

Hines

Hajilounezhad

Love-Baker

et al. 2020

ACS Appl. Mater. Interfaces

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“…The body module vector is embedded with the age of the vehicle (time step, odometer), tire pressure, the shape of the vehicle (aerodynamic drag), and load (trailer, passengers). The tire pressure and external load affect the normal and traction forces exerted on the wheels, affecting the vehicle engine performance (Liang et al, 2019). The body design influences aerodynamic resistance and instantaneous fuel consumption rate (IFCR 1E-8 m 3 /s) (Sudin et al, 2014), whereas the DBV consists of the elements discussed in Section 2.…”

Section: Data Retrievalmentioning

confidence: 99%

Intelligent vehicle drive mode which predicts the driver behavior vector to augment the engine performance in real-time

Kolachalama

Malik

2022

DCE

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In this article, a novel drive mode, “intelligent vehicle drive mode” (IVDM), was proposed, which augments the vehicle engine performance in real-time. This drive mode predicts the driver behavior vector (DBV), which optimizes the vehicle engine performance, and the metric of optimal vehicle engine performance was defined using the elements of engine operating point (EOP) and heating ventilation and air conditioning system (HVAC). Deep learning (DL) models were developed by mapping the vehicle level vectors (VLV) with EOP and HVAC parameters, and the trained functions were utilized to predict the future states of DBV reflecting augmented vehicle engine performance. The iterative analysis was performed by empirically estimating the future states of VLV in the allowable range of DBV and was fed into the DL model to predict the performance vectors. The defined vehicle engine performance metric was applied to the predicted vectors, and thus optimal DBV is the instantaneous output of the IVDM. The analytical and validation techniques were developed using field data obtained from General Motors Inc., Warren, Michigan. Finally, the proposed concept was quantified by analyzing the instantaneous engine efficiency (IEE) and smoothness measure of the instantaneous engine map (IEM).

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“…This load is transmitted by the contact between the vehicle tire and the road surface. Suppose the vehicle is driving along the central axis of the road, and the contact area between the tire and the road surface is regarded as a rectangle [ 40 ]. In order to eliminate the boundary effect, the loading force is applied at x = 5 m of the finite element model, and stopped at x = 25 m. The schematic diagram of the vehicle track is shown in Figure 6 .…”

Section: Road Finite Element Model Analysismentioning

confidence: 99%

Research on the Reliability of a Core Control Unit of Highway Electromechanical Equipment Based on Virtual Sensor Data

Lin

Luo

et al. 2022

Sensors

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The printed circuit board (PCB) is the core control unit of electromechanical equipment. In order to determine the influence of the coupling vibration caused by vehicle–road interaction on the PCB reliability of roadside electromechanical equipment, first, the dynamic load of the vehicle tire is solved by establishing the dynamic model of a vehicle road. Then, the acceleration response data generated by road vibration are obtained by solving the road finite element model. Finally, the power density spectrum of the acceleration response is taken as input excitation, and the deformation response of the PCB under vehicle–road coupling vibration is analyzed. The experimental results show that when the vehicle is driving close to the roadside, the vibration caused by vehicle–road coupling will lead to a large deformation of the PCB, and the deformation value reaches 0.170 mm, which can cause structural damage to the PCB. This shows that the vehicle–road coupling vibration can affect the reliability of the roadside electromechanical equipment; thus, the optimal design of the PCB layout is created. After optimization, the first-order modal frequency of the PCB is increase by 5.4%, which reduces the risk of the components breaking away from the PCB substrate.

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Evaluation of Tire Traction Performance on Dry Surface Based on Tire-Road Contact Stress

Cited by 10 publications

References 8 publications

Growth and Mechanics of Heterogeneous, 3D Carbon Nanotube Forest Microstructures Formed by Sequential Selective-Area Synthesis

Growth and Mechanics of Heterogeneous, 3D Carbon Nanotube Forest Microstructures Formed by Sequential Selective-Area Synthesis

Intelligent vehicle drive mode which predicts the driver behavior vector to augment the engine performance in real-time

Research on the Reliability of a Core Control Unit of Highway Electromechanical Equipment Based on Virtual Sensor Data

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