Finite Element-Based Fatigue Behaviour of Springs in Automobile Suspension

A dynamic loading impact test was performed on a wheel rim using the Finite Element method. It is a convenient, practical and more economic to use computational simulation compared to a real experiment which may involve high costs in order to provide enough specimens for repeated experiments. The study's aim is to investigate the correlation between the impact energy absorbed in 13 degree and 90 degree impact tests using three different materials, namely Aluminium 6061-T6, Magnesium AM60 and Stainless Steel 304L. For the wheel rim, the elasto-plastic condition was applied. The striker is set to move downwards with a velocity of -22222.2 mm/s and a mass of 144 kg. The mesh sizes implemented in this work are 10 mm, 7 mm and 5 mm. It is found that the peak load in the 90 degree impact test is greater than the 13 degree impact test. Due to dissimilar wheel orientation and contact area during the impact, the energy absorbed obtained in the 13 degree impact test is lower than the 90 degree impact test. Aluminium shows the best results compared to the other material with a percentage of correlation of 24.40 %. Whereas, Stainless Steel recorded the highest value of deviation percentage compared to the other materials. The result shows that this can be the basis to study the parameters for wheel changes such as the use of new materials, and the thickness, size and pattern of spokes.

Section: Resultsmentioning

confidence: 99%

“…The mesh sizes for the wheel rim are 10 mm, 7 mm and 5 mm. Different mesh models are used to assure that its size is accurate enough and can converge well [8,18]. In addition, the work is expected to show the effect of mesh sensitivity on the simulation results [19].…”

Section: Finite Element Analysismentioning

confidence: 99%

Correlation between vertical wheel impact energy with lateral wheel impact energy: A finite element analysis approach

Zainuddin¹,

Ali²,

Said³

et al. 2016

“…This situation can result in riding discomfort and problems in ride safety and stability [5][6][7][8]. Computer based analysis techniques such as the finite element method proves to be a reliable tool in engineering design and product development [9]. Furthermore, finite element model updating is already considered as an important subject to design, in terms of construction and maintenance of mechanical systems and civil engineering structures [10] since it is viewed as a convenient tool for analysing and predicting the dynamic performance of various structures [11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Dynamics properties of a Go-kart chassis structure and its prediction improvement using model updating approach

Abdullah

Sani

Husain

et al. 2017

Self Cite

Model updating is concerned about the correction of finite element models by processing the record of dynamic response from test structures in order to have an accurate model for any simulated analysis. Finite element model updating had emerged years ago as an important subject in structural dynamics. It has been used frequently and has been successfully applied to many fields especially in detecting the dynamic stiffness of a structure. The purpose of this study is to perform model updating of a go-kart chassis structure in order to reduce the percentage of error between the experimental modal analysis (EMA) and finite element analysis (FEA). Modal properties (natural frequency, mode shapes, and damping ratio) of the go-kart chassis structure were determined using both EMA and FEA. Correlation of the modal parameters gathered in FEA and EMA was carried out before optimizing the data from finite element. By adjusting the selective parameters, incongruities between those two analyses are generally reduced. The sensitivity of selected parameters is also obtained. The significant reduction in percentage of error before and after model updating procedure was carried out in this study clearly shows that model updating technique is a reliable method in reducing the discrepancies between EMA and FEA. Therefore, in cases of high discrepancies between analytical and actual test data, model updating can be considered as an option in order to obtain better correlation between those two sets of data.

“…Such multiaxial loads and stress states are frequently encountered in many industries, including automotive, aerospace, and power generation, among others [5,17,24]. Research to develop new fatigue estimation models is continuously underway, but a general purpose model has still not been developed for the wide-ranging description of fatigue phenomena [4,[25][26][27][28]. This study is related to testing the performance of the new fatigue life estimation model based on a genetic algorithm in conjunction with the critical plane method and continuum damage mechanics.…”

Section: Introductionmentioning

confidence: 99%

Fatigue life prediction of titanium alloy for block loading using the hybrid approach of critical plane and continuum damage mechanics

Rahman¹,

Kamal²

2017

Self Cite

The present study is related to the performance analysis of the newly proposed fatigue estimation model for titanium alloy BT9 against block loading. Lately, research efforts have been concentrated on developing the capability to handle complex multiaxial loading conditions for fatigue estimation. The current study is focused on testing the proposed hybrid approach involving the critical plane and continuum damage mechanics. The calibration of the proposed model is done by determining the model coefficients by using a genetic algorithm. Experimental fatigue lives for titanium alloy BT9 with block loading consisting of axial, torsion and out-of-phase axial-torsion loading segments are considered to analyse the accuracy of the proposed model. The proposed model is validated by using finite element analysis to estimate fatigue life for titanium alloy BT9. Simplifications were assumed to handle the block loads, and axial, torsion and out-ofphase loading conditions were used for calibration. The estimated fatigue life results show good agreement with published results for block loads.