2015 volumne 36卷 Issue 06
FANGShuqi1,2,HELiping1,ZHANGLonglong1,CHANGChun1,2,BAI Jing1,2,CHENJunying1,
Abstract: The effects of processing variables,such as screw speed,initial moisture content and the length ofthe straw plug pipe of extrusion process on the dewatering rate,handling capacity ,output per kW h etc.were experimentally studied using a low CR screw straw extruder. And the response surface optimization exper-imental results showed the extruder can run efficiently , stably and continuously with considerate dewateringrate , handling capacity and output per kW ·h under the conditions that moisture content is 85% ,screw speed50.8 r/min,length of the straw plug pipe is 26.91 mm.
[14]
Abstract:
CHEN Deliang,DONG Huina,ZHANG Rui
Abstract: Molybdenum disulfide ( MoS2 ) with a typical layered structure easily forms few-layered MoS2 nanosheets,and has a wealth of optical,electrical and catalytic performance with wide application potentials in areas such as photo-electrical and energy conversion. The preparation of few-layered MoS2 nanocrystals and MoS2-based nanocomposites using molybdenum-containing chemicals as starting materials by wet-chemical and vapor-deposition methods are the cutting-edge focuses of recent research. However,the synthesis of MoS2 nanocrystals from chemical reagents with a long route is not low-carbon and environment friendly. Molybdenite is a typical layered mineral and composed of layered MoS2 units. The amount of molybdenite in China is huge and it is a green and low-carbon way to prepare few-layered MoS2 nanomaterials via the intercalation-exfoliation strategy using the purified molybdenite as the direct raw materials.
ZHANG Chunjiang1,2,TAN Kay Chen2,GAO Liang1, wU qing3
Abstract:  In order for effective application of Multi-Objective Evolutionary Algorithm based on Decomposition(MOEA/D) in engineering optimization,normalization of the range of objective values is needed. A self-a-daptive s constrained Differential Evolution ( gDE) algorithm is proposed to obtain the minimum and maximumvalues of each objective on the Pareto Front ( PF). After normalization,MOEA/D can then be effectively ap-plied. In addition ,the self-adaptive s constraint method is combined with MOEA/D for constraint handling. Abenchmark problem and a weld bean design problem are used to evaluate the performance of the algorithm a-gainst two other normalization methods. One main advantage of the proposed method is the selective concen-trated optimization on some regions on the Pareto front which allows handling of problems where regions of Pa-reto front are difficult to be optimized.
ZHAO Guosheng1,NIU Zhenzhen1,LIU Yongguang2, SUN Chaoliang2
Abstract: In view of the disadvantages of the traditional Fuy C-means clustering algorithm, the author pro-poses an adaptive FCM algorithm. This algorithm is based on two clustering results evaluation index of withinthe class distance MIA and between the class distance MDC. The ratio of MDC and MIA,defined as l, is anadaptive function to determine the clustering number c of FCM algorithm. At the same time,according to thefuzy decision method,we use the objective function and partition entropy of FCM algorithm together to deter-mine the value of optimal fuzzy weighted m. ’This algorithm not only overcomes the FCM algorithm disadvan-tage of not being able to determine the clustering number automatically and fuzzy weighted index needs to begiven by experience,but also the clustering result is optimal. Finally,the correctness and effectiveness of thealgorithm were proved through example analysis.
Han Chuang, Wu Lili
Abstract: For the modeling and control of proton exchange membrane fuel cells, the empirical model and mechanism model based on polarization curve and parameter dimension are summarized, the electrochemical steady-state model and dynamic model based on electrochemical reaction, temperature, pressure and other factors are analyzed, and the intelligent method model based on neural network identification, swarm intelligence algorithm and support vector machine is introduced.The existing intelligent control strategies of proton exchange membrane fuel cells are summarized. Finally, it is pointed out that it will be a development direction of modeling to optimize the model parameters and environmental parameters of proton exchange membrane fuel cells by using swarm intelligence algorithm. The generalized Hamilton theory can also be tried to be used in the modeling of proton exchange membrane fuel cells.At the same time, the intelligent control strategy combining the new algorithm will become the research trend of proton exchange membrane fuel cell control.
[85]
Abstract:
WANG Qinghai1,ZHAO Fengxia2,Ll Jifeng2,JIN Shaobo2
Abstract: In order to solve the problems,such as low efficiency,poor real-time performance and so on,in on-line detection of glass fiber fabric,a new method of fabric defect detection based on Blob analysis is proposed. Firstly,the image is smoothed by using mean filter,and the noises and the fabric textures are weakened. Then,the Otsu algorithm is used to find the best threshold to segment the image into Blob and background pixels. The shape of the Blob region is adjusted by using morphological processing. Finally,the connectivity analysis and feature extraction of the image are carried out. The number and size of the defects are obtained by using the least square fitting of the Blob region. Experimental results show that the method is simple,reliable and robust.
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