KEYWORDS: Temperature metrology, Design, Electronic components, Vacuum chambers, Thermal modeling, Instrument modeling, Pipes, 3D modeling, Temperature distribution, Temperature control
According to the actual use requirements of a field temperature measurement equipment, to ensure that the equipment can work stably in the harsh and extreme outdoor environment such as humid heat, high temperature and rain, a design scheme of chassis heat dissipation structure is proposed, and a composite heat dissipation scheme of natural heat dissipation in the inner cavity of the equipment, heat pipe heat conduction of the vapor chamber, and forced air cooling and heat dissipation of the equipment shell. Through the electronic product thermal analysis software Icepak, the initial model of the whole machine and the improved heat dissipation model were simulated and analyzed. The simulation results show that the design of the heat dissipation scheme can improve the thermal conduction efficiency between the heat source in the equipment cavity and the equipment box, effectively reduce the temperature of the high temperature module and the whole chassis body inside the equipment, and control the temperature of the heat source in the cavity of the equipment within the specified working temperature range to meet the conditions of device use.
Aiming at the problem of false contour edges in gear defect detection by traditional Canny algorithm due to the influence of noise and illumination, an improved Canny algorithm for gear image edge detection is proposed. Firstly, the optimized guided filter algorithm is applied to the preprocessing of gear image, which improves the quality of image processing. Then the gradient values in eight directions are calculated, which makes the interpolation of non-maximum suppression more refined than the original algorithm. Finally, based on OTSU algorithm, the gray-gradient mapping function is constructed to determine the optimal threshold, which solves the limitation of the original algorithm to determine the threshold manually by experience. The experimental results show that the quality factor of the edge detection results of the proposed improved Canny algorithm reaches 0.868. Compared with the original Canny algorithm, the quality factor performance is improved by 13.51%, which proves the effectiveness of the improved measures proposed in this paper.
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