无油润滑压缩机活塞环和支承环设计

通过对填充聚四氟乙烯材料活塞环及带卸荷槽结构支承环的研究 ,确定了活塞及活塞环结构 ,建立了带卸荷槽支承环的力学分析模型 ,并将其结果用于结构尺寸的确定。在压缩机工艺指标不变的情况下 ,用该方法设计的活塞环和支承环性能优良。     

PIM卧管式三旋在催化裂化装置上的应用

分析了PIM卧管式三旋在催化装置应用过程中所出现的问题 ,并且有针对性地进行了改造 ,取得了良好的效果     

Williams高压旋转防喷器国产化要点浅析

旋转防喷器是欠平衡钻井的关键井控设备之一，现文以Williams7100型高压旋转防喷器为例，分析了其壳体总成、旋转总成以及钻具密封的设计分析要点，旨在推动该装置的国产化进程。     

瓦斯燃烧器回流区测试

燃烧器流场内回流区的大小和形状决定了燃烧火焰的稳定性 ,利用APV激光测速系统 ,在燃烧器冷态测试实验装置上对一瓦斯燃烧器冷态模型的流动进行了研究 ,发现了该燃烧器流场内的双回流区结构 ,并得到了中心回流区尺寸与稳焰器结构的关系 ,为该结构类型燃烧器的稳焰设计及稳焰能力的评价提供了实验依据     

修正步冷温度曲线试验研究

按修正步冷温度曲线对经步冷脆化的 2 .2 5Cr 1Mo和在加氢反应器内运行 5a的 2 2 5Cr 1Mo试块进行了修正步冷试验 ,评定了材料的回火脆性。结果表明 ,按修正步冷曲线进行修正步冷试验能使已经脆化的材料进一步脆化 ,为加氢反应器材料损伤的研究提供了一条途径。     

Maximization of total surface area of Pt-SnO<Subscript>2</Subscript>/Al<Subscript>2</Subscript>O<Subscript>3</Subscript> catalyst by the Taguchi method

The maximization of the total surface area of Pt-SnO₂/Al₂O₃ catalyst was studied by using the Taguchi method of experimental design. The catalysts were prepared by sol-gel method. The effects of HNO₃, H₂O and aluminum nitrate concentrations and the stirring rate on the total surface area were studied at three levels of each. L₉ orthogonal array leading nine experiments was used in the experimental design. The parameter levels that give maximum total surface area were determined and experimentally verified. In the range of conditions studied it was found that, medium levels of HNO₃ and H₂O concentration and lower levels of aluminum nitrate concentration and stirring rate maximize the total surface area.     

Fast computation of the prime implicants by exact direct-cover algorithm based on the new partial ordering operation rule

In this study, a novel OFF-set based direct-cover Exact Minimization Algorithm (EMA) is proposed for single-output Boolean functions represented in a sum-of-products form. To obtain the complete set of prime implicants covering the given Target Minterm (ON-minterm), the proposed method uses OFF-cubes (OFF-minterms) expanded by this Target Minterm. The amount of temporary results produced by this method does not exceed the size of the OFF-set. In order to achieve the goal of this study, which is to make faster computations, logic operations were used instead of the standard operations. Expansion OFF-cubes, commutative absorption operations and intersection operations are realized by logic operations for fast computation. The proposed minimization method is tested on several classes of benchmarks and then compared with the ESPRESSO algorithm. The results show that the proposed algorithm obtains more accurate and faster results than ESPRESSO does.     

Combining stationary wavelet transform and self-organizing maps for brain MR image segmentation

This study presents an image segmentation system that automatically segments and labels T1-weighted brain magnetic resonance (MR) images. The method is based on a combination of unsupervised learning algorithm of the self-organizing maps (SOM) and supervised learning vector quantization (LVQ) methods. Stationary wavelet transform (SWT) is applied to the images to obtain multiresolution information for distinguishing different tissues. Statistical information of the different tissues is extracted by applying spatial filtering to the coefficients of SWT. A multidimensional feature vector is formed by combining SWT coefficients and their statistical features. This feature vector is used as input to the SOM. SOM is used to segment images in a competitive unsupervised approach and an LVQ system is used for fine-tuning. Results are evaluated using Tanimoto similarity index and are compared with manually segmented images. Quantitative comparisons of our system with the other methods on real brain MR images using Tanimoto similarity index demonstrate that our system shows better segmentation performance for the gray matter while it gives average results for white matter.