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RISS 인기검색어
- 검색키워드
- 저자 : Bu Chiwu (검색결과 3 건)
- 무료
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Optimization of Technical Parameters for Making Plant Fiber Composite Pencil Board Based on PSO-BP
Bu Chiwu 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.12
Wood plastic composites (WPCs) were prepared and used as pencil board. The primary raw materials were corn straw fiber powder, high-density polyethylene, and polystyrene. The tensile strength, surface roughness, hardness, and roll cutting performance of the prepared composites were tested and compared with those of linden wood, which is typically used for pencil board. A back propagation (BP) neural network was adopted to build the prediction model of process technical parameters of the composite. An improved particle swarm (modified particle swarm optimizer, MPSO) was adopted to optimize the BP neural network, and the advantages of the PSO algorithm’s global optimization ability and the BP neural network algorithm’s high processing speed were realized. The results show that the composite had the best performance, with a mass ratio of 3.8 (corn straw fiber powder): 47.6 (high-density polyethylene): 28.6 (polystyrene). The composites can be used as a substitute for linden wood in the production of pencil board.
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Infrared Image Edge Detection Based on Morphology-Canny Fusion Algorithm
Tang Qingju,Bu Chiwu,Liu Yuanlin,Zang Jiansuo,Li Dayong 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.3
Effectively extracting the contour edge of the defect in the infrared image can realize the recognition of the geometrical features of the defect. In view of the traditional Canny edge detection algorithm in the Gauss filter variance and high and low threshold selection need artificial intervention, does not have the adaptive ability, and its defects in the gradient calculation, proposed a method based on the improved Canny operator and image morphological fusion edge detection method. Using the improved Canny operator and image morphology to edge detection, the simulation results show that the algorithm has good anti noise ability, effectively improve the accuracy and integrity of the edge detection in the infrared image, and achieve a better extraction of geometric features of the edge of the defect.
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Computer Simulation of Metal Surface Micro-Crack Inspection Using Pulsed Laser Thermography
Tang Qingju,Bu Chiwu,Liu Yuanlin,Yu Fengyun,Zhao Yawei 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.3
Surface micro cracks are easy to produce in the preparation and service process of metal material, which impacts on the safe operation of metal components. Pulsed laser spot excitation and infrared thermal imaging technology are combined to detect metal surface micro-cracks. The working principle of laser infrared thermal imaging detection technology was described. The three dimensional heat conduction model of pulsed laser excitation flux transfer in metal plate was established, and calculated using finite element method (FEM). The results showed that, thermal flow in the image is a “D” shape. There are temperature differences between the sound regions and defective regions, and the defects experiences the process of obscure, gradually clear, and gradually obscure. Pulsed infrared thermography sequence was processed by polynomial fitting method, and the coefficient images effectively improve the contrast between defective and non-defective areas, which is beneficial to the determination and of recognition micro cracks.
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