scholarly journals Simulation Study on Hot Stamping Forming of the Drive Axle Housing of Heavy Truck

Author(s):  
Yongqian Dai ◽  
Jianyi Ji ◽  
Lingjiang Luo
2014 ◽  
Vol 556-562 ◽  
pp. 1119-1122 ◽  
Author(s):  
Teng Fei Ma ◽  
Kai Song Wang

The automobile drive axle housing is an important safety component in vehicle. The 3D model of the drive axle housing is established in CATIA,Based on the actual use conditions for a heavy truck drive axle housing, this paper used finite element analysis software ANSYS to analyze the strength, stiffness and modal of the axle housing, which results show that the design of the axle housing is rational. These results of static analysis and modal analysis can provide some references for the development of new products and the structure optimization design in the future.


2021 ◽  
Vol 31 (1) ◽  
pp. 41-49
Author(s):  
Feifei Zhao

In actual engineering, the drive axle of vehicles is often enlarged to prevent it from being damaged. However, the enlargement will increase the weight of the vehicle, pushing up fuel consumption and exhaust emissions. This common practice is obviously detrimental to the environment and sustainable development. To meet the stiffness and strength requirements on the drive axle housing of Steyr heavy trucks, this paper carries out finite-element analysis on the stiffness and strength of the axile housing under different working conditions, in the light of its actual stress features. According to the production process of drive axle housing in truck, the authors reviewed the development of the materials for high-strength axle housing, which could be properly formed through hot stamping, cold stamping, and mechanical expansion, and briefly introduced the structural features of drive axle housing. Then, a drive axle model was established in the three-dimensional (3D) drawing software Pro/ENGINEER, and converted into a finite-element model in Pro/Mechanica by calling the meshing command. On this basis, the static load of axle housing was analyzed under four working conditions: maximum vertical force, maximum traction, maximum braking force, and maximum lateral force. Finite-element analysis was performed on the meshed model to obtain the displacement and stress cloud maps of the axle housing under each working condition. The results show that the drive axle housing satisfy the requirements on strength, stiffness, and deformation. To sum up, this research improves the design efficiency and quality of products through finite-element analysis on the stiffness and strength of drive axle housing.


2014 ◽  
Vol 678 ◽  
pp. 547-550
Author(s):  
Qian Jia ◽  
Li Wang

Drive axle housing is an important part in heavy truck. 3D model of the axle housing was made by software UG. The finite element model of automobile drive axle housing was built with simulation software NX.NASTRAN and the finite element modal analysis was achieved. 1-6 order natural vibration frequencies were got under three kinds of working condition which were the maximum traction force, the maximum vertical force and the maximum lateral force. The vibration frequency was far greater than the natural frequency in the actual work. The security of the drive axle housing has been validated.


2015 ◽  
Vol 741 ◽  
pp. 223-226
Author(s):  
Hai Bin Li

The performance of automobile drive axle housing structure affects whether the automobile design is successful or not. In this paper, the author built the FEA model of a automobile drive axle housing with shell elements by ANSYS. In order to building the optimization model of the automobile drive axle housing, the author studied the static and dynamic performance of it’s structure based on the model.


2011 ◽  
Vol 338 ◽  
pp. 456-459 ◽  
Author(s):  
Bu Zheng Wen ◽  
Jian Min Li ◽  
Zhong Tao Pei ◽  
Sheng Yu ◽  
Cuan Yang Sun ◽  
...  

Statistical analysis of load spectrum is an important part on structural fatigue life and reliability research, it is generally considered that axle’s load spectrum follows Weibull distribution. This paper tested ZL50 loader’s loading history of different working conditions , and obtained the corresponding load spectrum by rain-flow counting method, then analyzed three distributions’ (normal distribution, lognormal distribution, Weibull distribution) fitting degree of load spectrum and effect on the fatigue reliability. Results show that the highest fitting degree of distribution function should be used to fit load spectrum, which can reduce the error in structural fatigue reliability prediction.


2011 ◽  
Vol 308-310 ◽  
pp. 246-250
Author(s):  
Shou Xu Song ◽  
Ji Ru Zhao ◽  
Tao Liu

In order to estimate the residual life of waste drive axle housing, the prediction model of waste axle housings with artificial neural networks is built in this paper. Take the deformation, residual stress and the gradient of magnetic intensity Kmax relating to axle housing’s fatigue damage degree as the input of neural network, and compare the testing residual life of the waste drive axle housing with its predicting residual life. The result demonstrates that: the deformation, residual stress and the gradient of magnetic intensity Kmax of axle housing as the characteristic parameter estimating the degree of fatigue damage, adopting trainbr training function can get good network performance and comparatively high precision of prediction. Besides, the longer the residual life of the waste axle housing is, the more precise the prediction life will be.


2017 ◽  
Vol 207 ◽  
pp. 1737-1742
Author(s):  
Chun-guo Xu ◽  
Pan Li ◽  
Yong-qiang Guo ◽  
Jian Zeng ◽  
Hong Jin

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