Modelling and finite element analysis of anti-roll bar using ANSYS software

Mohanavel, V.; Iyankumar, R.; Sundar, M.; Kumar, Piush; Pugazhendhi, L.

doi:10.1016/j.matpr.2020.05.322

Cited by 7 publications

(2 citation statements)

References 13 publications

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“…The second is to carry out through-hole treatment in the torsion bar shaft to achieve the purpose of lightweight. Mohanavel [13] analyzed the effectiveness of anti-rolling torsion bar on passenger cars and the influence of body rolling on vehicle handling, and used hollow shaft instead of solid forged bar to reduce product weight and improve vehicle fuel efficiency. Kaushal [14] investigated the influence of various design factors on the wheel assembly of formula racing car and gave an optimization design for anti-rolling parts.…”

Section: Introductionmentioning

confidence: 99%

Lightweight Optimization Design and Fatigue Lifetime Analysis for Anti-rolling Torsion Bar of Rail Vehicle

Zhao

Liu

Liu³

et al. 2023

J. Phys.: Conf. Ser.

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Based on the fatigue strength assessment method in the FKM standard, the lightweight design of a type of anti-rolling torsion bar is studied by using the finite element method. Firstly, the finite element model of the torsion bar structure is constructed by using the Creo software and the HyperMesh software, and then the finite element analysis is carried out by using the ABAQUS software. The numerical simulation results indicate that under the condition of ultimate load 29.2kN, the static strength, anti-rolling stiffness and fatigue strength of the torsion bar are all satisfy with the design requirements. Secondly, the orthogonal numerical test method is utilized to investigate the influence of geometric parameters on the anti-rolling stiffness and Factor of Strength (FOS) value of the torsion bar. Taking the structural geometric parameters as variables and the FOS value as the objective function, a second-order response surface model is established. The single objective and multi-factor optimization design for the torsion bar under the condition of stiffness constraint is conducted by using the Isight software and multi-island genetic algorithm. The results show that, comparing with the original structure, the weight of the optimized structure is reduced by 20.89%, and the static and dynamic strength, and anti-rolling stiffness of the optimized structure are match with the design requirements. Finally, the static and dynamic strength tests for the optimized torsion bar are individually operated at the ultimate load and under two-stage cyclic loading with amplitude 18.0kN and 29.2kN. the results show that the calculated stiffness coefficient is consistent with the test one, and the service lifetime of the torsion bar is satisfy with the design requirement.

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Section: Introductionmentioning

confidence: 99%

Lightweight Optimization Design and Fatigue Lifetime Analysis for Anti-rolling Torsion Bar of Rail Vehicle

Zhao

Liu

Liu³

et al. 2023

J. Phys.: Conf. Ser.

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“…This research takes upon the dynamic game theory between two systems that are active steering and active roll control and it also tries to find the optimal solution by finding the nash equilibrium for this system [13]. The recent advances in 2020, by V. Mohavavel and co-workers, demonstrated the use of ANSYS to analyze the deflection of anti-roll bar structure in x, y, and z-axis, it also emphasizes developing the hollow tubular structure to save weight, the research, however, misses an elaborate explanation of how the mathematical models are generated and to calculate the essential parameters of the antiroll bar [14]. So, the anti-roll bar system design, analysis, and manufacturing for a formula student race car is a not well-studied topic with the help of this particular study, and we aim to develop tunable anti-roll bar devices for individual axles for a Formula student race car.…”

Section: Introductionmentioning

confidence: 99%

A detailed study on design, fabrication, analysis, and testing of the anti-roll bar system for formula student cars

et al. 2021

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This study explains a coherent flow for designing, manufacturing, analyzing, and testing a tunable anti-roll bar system for a formula student racecar. The design process starts with the analytical calculation for roll stiffness using constraining parameters such as CG (Center of Gravity) height, total mass, and weight distribution in conjunction with suspension geometry. Then, the material selection for the design i.e. Aluminum 7075 T6 is made based on parameters such as density and modulus of rigidity. A MATLAB program is used to iterate deflection vs load for different stiffness and shaft diameter values. This is then checked with kinematic deflection values in Solidworks geometry. To validate with the material deflection, finite element analysis is performed on ANSYS workbench. Manufacturing accuracy for the job is checked using both static analysis in lab settings and using sensors on vehicles during on-track testing. The error percentage is found to be 4% between the target stiffness and the one obtained from static testing. Parameters such as moment arm length, shaft diameter and length, and deflection were determined and validated. This paper shows the importance of an anti-roll bar device to tune the roll stiffness of the car without interfering with the ride stiffness.

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The Influence of the Anti-roll Bar Stabilizing Moment Generation on Its Different Constructive Areas Through Modeling

Dobre

2022

The 16th International Conference Interdisciplinarity in Engineering

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Modelling and finite element analysis of anti-roll bar using ANSYS software

Cited by 7 publications

References 13 publications

Lightweight Optimization Design and Fatigue Lifetime Analysis for Anti-rolling Torsion Bar of Rail Vehicle

Lightweight Optimization Design and Fatigue Lifetime Analysis for Anti-rolling Torsion Bar of Rail Vehicle

A detailed study on design, fabrication, analysis, and testing of the anti-roll bar system for formula student cars

The Influence of the Anti-roll Bar Stabilizing Moment Generation on Its Different Constructive Areas Through Modeling

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