Weight reduction of aluminum disc wheels under fatigue constraints using a sequential neural network approximation method

“…The finite element model used to simulate the dynamic cornering fatigue test has been described in great details in the authors' previous work [4]. Figure 2 shows the finite element model of an aluminum wheel.…”

Section: Predicting the Dynamic Cornering Fatigue Testmentioning

confidence: 99%

Prediction of Fatigue Failures of Aluminum Disc Wheels Using the Failure Probability Contour Based on Historical Test Data

Hsu

Wang

Liu

et al. 2004

Journal of the Chinese Institute of Industrial Engineers

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Disc wheels intended for normal use on passenger cars have to pass three tests before going into production: the dynamic cornering fatigue test, the dynamic radial fatigue test, and the impact test. This paper describes a probability model for prediction of fatigue failures of aluminum disc wheels, which intends to better link the prediction using simulation results with historical test data. Finite element models of 54 aluminum wheels, which are already physically tested, are constructed to simulate the dynamic cornering fatigue test. Their mean stresses and stress amplitudes during the fatigue loading cycle are calculated and plotted on a two-dimensional plane. Matching with historical test data, the failure probability contour can be drawn. For a new wheel, the failure probability of dynamic cornering fatigue test can be read directly from this probability contour. The test result of the new wheel can be added into the set of historical test data and the failure probability contour is updated. Same procedure is directly applied to the fatigue prediction of dynamical radial fatigue test. At this point we only have 20 historical test data to construct the failure contour. The prediction will become more and more reliable as the number of historical test data increases.

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“…Sangkharat et al [3] combined the orthogonal test method with the nite element analysis (FEA), and studied the effects of eight parameters on the spinning pressure and forming quality of the steel sheet. Hsu et al [4] described a weight reduction problem of aluminum disc wheels under cornering fatigue constraints and presented a sequential neural network approximation method to solve this type of discrete variable engineering optimization problems.…”

Section: Introductionmentioning

confidence: 99%

Lightweight Design of Steel Wheel Introducing the Disc Spinning Process

Dang¹,

Shan²,

Liu³

et al. 2020

Preprint

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The steel wheel consists of wheel disc and rim. The wheel disc is manufactured by using power spinning process. The spinning process does not guarantee that the design scheme can be realized accurately. In this paper, the simulation method of the disc spinning process is investigated, and introduced to the lightweight design of steel wheel. Firstly, the power spinning process is simulated, and the validity of the simulation method is verified by test. Then two optimization schemes of the disc are proposed. Finally, the forming quality of the products from the optimization schemes is analyzed by spinning process simulation. The results show that the product from the optimal scheme may not be optimal since the effect of the forming quality in the spinning process. To obtain the optimal performance of product, it is very necessary to evaluate the design scheme by introducing the disc spinning process in the design stage of wheel disc.

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Weight reduction of aluminum disc wheels under fatigue constraints using a sequential neural network approximation method

Cited by 25 publications

References 4 publications

Evaluation of fatigue life of aluminum alloy wheels under radial loads

Evaluation of fatigue life of aluminum alloy wheels under radial loads

Prediction of Fatigue Failures of Aluminum Disc Wheels Using the Failure Probability Contour Based on Historical Test Data

Lightweight Design of Steel Wheel Introducing the Disc Spinning Process

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