Abstract
In order to improve the reliability and service life of vehicle and diesel engine, the fatigue life prediction of the piston in a heavy diesel engine was studied by finite element analysis of piston, experiment data of aluminum alloy, fatigue life model based on energy dissipation criteria, and machine learning algorithm. First, the finite element method was used to calculate and analyze the temperature field, thermal stress field, and thermal–mechanical coupling stress field of the piston, and determine the area of heavy thermal and mechanical load that will affect the fatigue life of the piston. Second, based on the results of finite element calculation, the creep–fatigue experiment of 2A80 aluminum alloy was carried out, and the cyclic response characteristics of the material under different loading conditions were obtained. Third, the fatigue life prediction models based on energy dissipation criterion and twin support vector regression are proposed. Then, the accuracy of the two models was verified using experiment data. The results show that the model based on the twin support vector regression is more accurate for predicting the material properties of aluminum alloy. Based on the established life prediction model, the fatigue life of pistons under actual service conditions is predicted. The calculation results show that the minimum fatigue life of the piston under plain condition is 2113.60 h, and the fatigue life under 5000 m altitude condition is 1425.70 h.
Highlights
Based on the results of finite element analysis, the creep–fatigue experiment is conducted for the piston material 2A80 aluminum alloy in this paper, and the fatigue life prediction model of the piston is established according to the test results and relevant methods
If a diesel engine works under high speed and large load for a long time, the aluminum alloy material of the piston may suffer from creep–fatigue failure due to harsh conditions
The temperature field, thermal stress thermo–mechanical of the piston are calculated and analyzed with thefield, finiteand element method; resultscoupling of the piston are calculated and analyzed with the finite element method; r show that the piston highest temperature is 613.01 K, the maximum thermal stress is show that the piston highest temperature is
Summary
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. Mohammad Amjadi et al [12] study and analyze the high-density polyethylene materials by experimental and theoretical models under different loading temperatures, loading frequencies, different stress, and different manufacturing techniques They build the fatigue life prediction model based on the experiment data. Results of the experiment show that the material exhibits dynamic strain aging property at 650 ◦ C They establish the creep–fatigue life prediction model based on the linear damage summation method. Based on the results of finite element analysis, the creep–fatigue experiment is conducted for the piston material 2A80 aluminum alloy in this paper, and the fatigue life prediction model of the piston is established according to the test results and relevant methods.
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