The fracture of two-layer leaf spring: Experiments and simulation

Cheng, Guang; Chen, Kaiyuan; Chen, Yuanchang

doi:10.1016/j.engfailanal.2021.105971

Cited by 11 publications

(11 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Due of its significant damping qualities, the inclusion of flax between carbon fibres increased the FOS and strain energy. [3] Guang Cheng, Kaiyauan Chen, and Ynanchang Chen were issued on 10 December 2021.In this they discovered a failure. A phenomenon in which the companion leaf spring of a two specified spring had a fatigue fracture.…”

Section: Introductionmentioning

confidence: 99%

Design and Analysis of Steel Leaf Spring and Composite Leaf Spring using Finite Element Method Approach

BT¹,

SP²

2023

IJRASET

View full text Add to dashboard Cite

The leaf spring's purpose is to stabilize the vehicle because it’s an essentially required element for the suspension systems and assists in supporting the entire load on the vehicle. Hence, the design and analysis of leaf springs are the main focus of this study. To that aim, the CATIA V5 software is used to construct the model, and Ansys Workbench is used to perform static structural analysis. First, the solution is verified using the analytical method and the finite element analysis for structural steel, and then the static structural analysis of structural steel and composite material (CFRP) is compared for the same design. Here, we find that the deformation and stress values of the Composite material are less than that of structural steel.

show abstract

Section: Introductionmentioning

confidence: 99%

Design and Analysis of Steel Leaf Spring and Composite Leaf Spring using Finite Element Method Approach

BT¹,

SP²

2023

IJRASET

View full text Add to dashboard Cite

show abstract

“…To benefit the vehicle dynamics simulation, developing an accurate, reliable, and fast LS model is the key. At present, the LS models mainly include the Finite Element (FE) model, 3,5,6 the discrete beam model, [7][8][9] and the SAE three-link model. 10 To solve the complex solving problem of the FE model, Adams/Car developed the Leaf Toolbox based on the discrete beam theory.…”

Section: Introductionmentioning

confidence: 99%

“…The transverse leaf spring, a single-leaf spring, boasts a simple structure with excellent damping and anti-body roll performance. 1 Longitudinal leaf springs can be categorized based on quantity, with options including fewer-leaf 2,3 and multi-leaf springs. 4 In vehicle design, suspension modeling is one of the most important works in vehicle dynamics.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Modeling and simulation of the equivalent vertical stiffness of leaf spring suspensions

Zhang,

Long,

Lin

et al. 2023

Advances in Mechanical Engineering

View full text Add to dashboard Cite

In vehicle multi-body dynamics (MBD) modeling, the stiffness parameterization of leaf spring (LS) is an unavoidable challenge regardless of the selection of modeling methods. On the contrary, the parameterization of Coil Spring (CS) stiffness is easy to achieve by adjusting the scale factor. Therefore, a novel LS stiffness parameterization method by treating the suspension stiffness as an intermediate variable through a CS stiffness is proposed based on the virtual displacement theory. The proposed method is then implemented in the vehicle-level modeling of a commercial Van with front transverse leaf spring suspensions and rear longitudinal parabolic leaf spring suspensions. The MBD model is validated by natural frequency tests and suspension stiffness simulations. Furthermore, the vertical acceleration of the car body is also verified. Results show that the root mean square (RMS) values of body vertical acceleration in the equivalent CS model are just slightly lower than that in the LS suspensions. The applicability and capability of the proposed method are proven to address the limitation of LS stiffness parameterization in MBD modeling. It lays the groundwork for efficiently simulating the LS suspension in vehicle ride and handling design and optimization.

show abstract

“…In the literature, the majority of the works have been focused on static analysis, dynamic analysis, material properties, and fatigue prediction. In [2], the authors have realized detailed surface analyses and mechanical tests over a leaf spring system that deformed much earlier than its expected service life. In their work [3], Zhou et al, have designed a new elastic component in order to reduce the working load, ensure the linearity, and regulate the amplitude variations in leaf spring systems.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Vibration Characteristics of a Leaf Spring System Using Artificial Neural Networks

Çetinkaya

İşci

2022

Sensors

View full text Add to dashboard Cite

The real-time vibrations occurring in a leaf spring system may cause undesirable effects, such as stresses, strains, deflections, and surface deformations over the system. In order to detect the most appropriate working conditions in which the leaf spring system will work more stably and also to design optimized leaf spring systems, these external effects have to be detected with high accuracy. In this work, artificial neural network-based estimators have been proposed to analyze the vibration effects on leaf spring systems. In the experimental studies carried out, the vibration effects of low, medium, and high-pressure values applied by a hydraulic piston on a steel leaf spring system have been analyzed by a 3-axial accelerometer. After the experimental studies, the Radial Basis Artificial Neural Network (RBANN) and Cascade-Forward Back-Propagation Artificial Neural Network (CFBANN) based nonlinear artificial neural network structures have been proposed to analyze the vibration data measured from the leaf spring system under relevant working conditions. The simulation results represent that the RBANN structure can estimate the real-time vibrations occurring on the leaf spring system with higher accuracy and reaches lower RMS error values when compared to the CFBANN structure. In general, it can be concluded that the RBANN and CFBANN network structures can successfully be used in the estimation of real-time vibration data.

show abstract

The fracture of two-layer leaf spring: Experiments and simulation

Cited by 11 publications

References 24 publications

Design and Analysis of Steel Leaf Spring and Composite Leaf Spring using Finite Element Method Approach

Design and Analysis of Steel Leaf Spring and Composite Leaf Spring using Finite Element Method Approach

Modeling and simulation of the equivalent vertical stiffness of leaf spring suspensions

Analysis of the Vibration Characteristics of a Leaf Spring System Using Artificial Neural Networks

Contact Info

Product

Resources

About