In this study, using a material model related to temperature, we calculate the transient temperature field of the gun tube subjected to the action of high-frequency cyclic dynamic thermal pulse and dynamic pressure pulse and analyze the couple effect of thermal pulse and pressure pulse and the distribution laws of the temperature field. Compared to the experimental data, the computational results are satisfactory on the whole. The results are important for the studies of gun tube temperature, life-span prediction as well as the way to improve the life-span of a gun tube. The model and the analysis method adopted here provide important references for gun tube design and improvement.
The immanent existence of system latency greatly affects the control behavior of a closed-loop system. In order to reduce the influence induced by latency, this paper proposes a systematic method based on neural network to predict the motion of objects in a high-speed, dynamic, and competitive environment. We apply this method to the competition of RoboCup Small Size League, which greatly improves the performance of our control system.
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