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植保机械的新机型、新材料和新工艺
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作者 高良润 《江苏大学学报(自然科学版)》 EI CAS 1992年第3期1-5,共5页
论述了植保机械发展中的新机型、新材料和新工艺以及贯彻“上质量、上水平、上品种,提高经济效益”的方针的措施。
关键词 植物保护 机械 材料 工艺 质量 水平/机型 经济效益 品种
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Effect of Angle of Attack and Blade Tip Vortex on the Noise Level of Tandem Wind Rotors of an Intelligent Wind Power Unit
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作者 Fumiha Odo Ahmed Mohamed Galal +1 位作者 Akira Enishi Toshiaki Kanemoto 《Journal of Environmental Science and Engineering(A)》 2013年第12期736-743,共8页
The authors have invented a superior wind power unit, which is composed of tandem wind rotors and double rotational armature type generator without the traditional stator. This unit is called "intelligent wind power ... The authors have invented a superior wind power unit, which is composed of tandem wind rotors and double rotational armature type generator without the traditional stator. This unit is called "intelligent wind power unit". At upwind type unit, the large-sized front wind rotor and the small-sized rear wind rotor drive the inner and the outer rotational armatures respectively, in keeping the rotational torque counter-balance between both wind rotors/armatures. This paper discusses the acoustic noise emitted from the tandem wind rotors. As for tandem wind rotors, the tip vortex shedding from the front wind rotor may make a loud acoustic noise if the vortex attacks the rear wind rotor. Intelligent wind power unit, however, has no chance to increase the acoustic noise level by the tip vortex because the diameter of the front wind rotor is reasonably larger than the diameter of the rear wind rotor. The vorticity generated in the boundary layer on the blade can be observed obviously at wake flow and can be evaluated quantitatively at flow conditions measured by a hot-wire anemometer at a wind tunnel. The flow conditions have shown that the radial and axial components of vorticities contribute to emit the acoustic noise. 展开更多
关键词 Acoustic noise INTELLIGENT TANDEM wind power unit.
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Airfoil effects on efficiency of 2 MW horizontal axis wind turbine blades
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作者 LEE Yung-gyo AHN Seok-min YEOM Chan-hong LEE Dae-sung 《Journal of Energy and Power Engineering》 2009年第12期60-63,共4页
Optimization of airfoil characteristics such as lift and drag is essential for high efficiency wind turbine blade design. In this research, effects of airfoil lift and drag on blade power coefficients were investigate... Optimization of airfoil characteristics such as lift and drag is essential for high efficiency wind turbine blade design. In this research, effects of airfoil lift and drag on blade power coefficients were investigated by using of wind turbine blade design software, PROPID. Firstly, a wind turbine blade of 2MW class was designed with DU-serics airfoils in the inner part and with aNACA series airfoil as a main airfoil in the outer part. Lift distribution was set to have near L/D maximum at each span station. Then, lift and drag curves were modified to observe effect of L/D variation. Drag and lift change with constant L/D on blade power coefficient was also studied for sensitivity investigation. Each case was optimized with Newtonian iteration incorporated in PROPID. High design lift coefficient results in less chord length and twist angle to maintain same aerodynamic load level. And, power coefficient wasn't improved much with high L/D. During the process, optimal inputs such as lift distribution, design lift and induction factors were suggested. As results, it was found that L/D maximization was important to obtain high efficiency. For the L/D maximization, lift maximization was important to minimize structural weight, but decreasing drag didn't affect the blade shape. 展开更多
关键词 AIRFOIL LIFT drag BLADE EFFICIENCY
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Tumor segmentation in lung CT images based on support vector machine and improved level set 被引量:2
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作者 王小鹏 张雯 崔颖 《Optoelectronics Letters》 EI 2015年第5期395-400,共6页
In lung CT images, the edge of a tumor is frequently fuzzy because of the complex relationship between tumors and tissues, especially in cases that the tumor adheres to the chest and lung in the pathology area. This m... In lung CT images, the edge of a tumor is frequently fuzzy because of the complex relationship between tumors and tissues, especially in cases that the tumor adheres to the chest and lung in the pathology area. This makes the tumor segmentation more difficult. In order to segment tumors in lung CT images accurately, a method based on support vector machine(SVM) and improved level set model is proposed. Firstly, the image is divided into several block units; then the texture, gray and shape features of each block are extracted to construct eigenvector and then the SVM classifier is trained to detect suspicious lung lesion areas; finally, the suspicious edge is extracted as the initial contour after optimizing lesion areas, and the complete tumor segmentation can be obtained by level set model modified with morphological gradient. Experimental results show that this method can efficiently and fast segment the tumors from complex lung CT images with higher accuracy. 展开更多
关键词 segmentation classifier contour texture trained morphological pixel finally details deviation
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