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- 저자 : Xiaochuan Cao (검색결과 2 건)
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FATIGUE ANALYSIS OF WELD REGION IN TORSION BEAM REAR SUSPENSION SYSTEM
Nan Zhan,Xiaochuan Zhang,Xulong Jin,Hongwei Cao 한국자동차공학회 2019 International journal of automotive technology Vol.20 No.2
Torsion beam rear suspension systems have been widely used in small passenger vehicles. However, welding can lead to local stress concentrations, residual stresses and other various defects, which affects the fatigue life of this system. In this paper, 3D digital image correlation (DIC) technique was used to measure the weld region deformation of a torsion beam rear suspension system in the bench test. The test results show that the obvious strain concentration occurred at the welding seam under the cyclic loading. The numerical simulation work by finite element analysis (FEA) has been done to predict the fatigue damage of the torsion beam rear suspension system. The simulation results show that the location of the fatigue crack was at the strain concentration region in the test work. The enhancement test was performed on a proving ground. The fatigure crack location of the torsion beam rear suspension system in the test automobile was coincident with the results by DIC and FEA. If the load conditions of bench tests are close to the road test, DIC is a useful method to predict the fatigue damage by the strain concentration. As a in lab test it would reduce the cost of fatigue analysis.
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Xiao Yue,Jiankui Chen,Yiqun Li,Rong Zou,Zhihao Sun,Xiaochuan Cao,Song Zhang 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.4
Skid-steered mobile robots are often used in outdoor exploration due to their robust mechanical structure and high maneuverability. When they track reference path on a slope with boundaries, ensuring the tracking accuracy and stability of the skid-steered mobile robot is the major target. However, the gravity makes the relationship between wheels and ground more complex on the slope, and variational slope angle also makes it difficult for tracking control. The common control methods focus on plane motion, where only the plane forces are taken into account and the gravity is normally ignored. It may lead to some performance limitations such as the accuracy of motion on a slope. To address these problems, a model predictive control strategy combined with a fuzzy system is proposed in this paper, which has considered the dynamics of the body and wheels on the slope. We improved the two dimensional kinematics and dynamics model of the robot, which makes the three dimensional motion control more accurate. And the control method allows the robot to adapt to slopes with different angles and to make the path tracking stable to curvature mutation. Both experiment and simulation results demonstrate the effectiveness and superiority of the proposed model and method.
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