The cooling system is one of the essential systems for the normal operation of vehicle engine. This article takes a 1.5L naturally aspirated vehicle model as the prototype, a simplified simulation model is established by using Amesim software. And the performance of engine cooling system is simulated under extremely cold and normal temperature conditions. In addition, the effects of multiple influencing factors such as water pump transmission ratio, radiator row number, and radiator windward area are further analyzed on cooling performance under normal temperature conditions. The simulation results show that the radiator row number has a significant impact on the performance for the cooling system, the water pump transmission ratio and radiator windward area also play an important role. The research in this article is beneficial for early development of the cooling system components influencing factors in projects. It can enable the product development team to quickly develop and select optimal solution schemes. That is to say the design cycle of the cooling system can be greatly shorten, and the research in this article has certain engineering application value.
Artificial Potential Field (APF) algorithm is one of the algorithms in the field of intelligent vehicle path planning. It can plan a safe path without collision for intelligent vehicle during driving from the start station to target station. However, the original APF algorithm also has some limitations. By changing the direction of the repulsive force and setting the initial conditions, this paper solves the inherent shortcoming of original APF algorithm, such as the target position is unreachable and easily fall into the local optimum during path planning. And due to the actual obstacle is not a particle, the obstacle safety distance is also proposed in this paper. Simulation results in MATLAB software show that the improved APF algorithm is effective. Then the improved APF algorithm is applied to the field of the intelligent vehicles path planning. The path following simulations in CARSIM software verify the followability of the target path which is planned by the improved APF algorithm. Therefore, the improved APF algorithm is effective and feasible for intelligent vehicle path planning.
Resistance spot welding (RSW) is the leading process of automobile body welding, and its quality is related to the reliability and safety of the whole vehicle. The effectively and automatically ultrasonic nondestructive testing is the development direction which can judge the spot welding quality, and then the positioning error of probe has an important impact on the test results. From this, conventional ultrasonic A-scan is adopted. Firstly, this paper presents the nugget diameter mathematic model of two-layer plates with different thickness when the probe positioning error is present. Then, the ultrasonic nondestructive testing simulation models of the spot welds are established, and the influence of the probe positioning error on the calculation result of the nugget diameter is studied. Finally, this paper carries out ultrasonic nondestructive testing of spot welding of two-layer plates with different thickness when the probe has positioning error. The experimental results verify the correctness of the theoretical analysis and simulation.
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