Advanced Materials Research Vols. 341-342

Abstract: Studies on biology basis from human being or other animals have attracted an ever increasing attention in pattern recognition. This paper describe a new model of pattern recognition principles, witch is based on “matter cognition” instead of “matter classification” in traditional statistical pattern recognition. This new model is better closer to the function of human being, rather than traditional statistical pattern recognition using “optimal separating” as its main principle. So the new model of pattern recognition is called the Bionic（or cognitive） Pattern Recognition. In the support of this theory, the pulse coupled neural network (PCNN), an entirely different neural network from traditional artificial ones, is used for image target recognition. Through the contrast of the image, the linking strength of each pixel can be chosen adaptively. After the processing of PCNN with the adaptive linking strength, new fire mapping images are obtained for each image from sensor. The clear objects of each original image are decided by the compare-selection operator with the fire mapping images pixel by pixel and then all of them are merged into a new clear image. As a result, the target which was polluted by noise was recognized correctly.

Abstract: The power system cost model include wind turbine were studied by using simulated annealing genetic algorithm. The advantages and disadvantages of genetic algorithm were presented. Annealing algorithm was improved using the Simulated Annealing. The power system cost model include a wind turbine was established, and the example case was analyzed by using simulated annealing genetic algorithm. The calculation was elucidated, demonstrating that with the wind power generation cost coefficient decreasing, the increase of wind power generating capacity will reduce the cost of power systems, and the existence of environmental costs of thermal power will be advantage to wind power.

Abstract: How to model reconfigurable resources, how to make manufacturing resources to rapidly form into new production functions and capability is an unsolved problem. Based on current manufacturing resource knowledge representation, in the paper, manufacturing resource ontology modeling method is presented which has considered characteristics of reconfigurable manufacturing system (RMS), configuration changeable and system adjustable. Furthermore, resource description ontology is defined and example model is also presented; after formalize the concepts, attributes and relations of ontology, the knowledge base including ontology base, attribute base and relation base are constructed. The method proposed can provide strong support for reconfiguration and deformation of RMS.

Abstract: With the rapid development of the global economy, more and more enterprises emphasize on the coordination with the partners to improve the supply chain competitive capability. This paper focuses on the united scheduling of the three-layer supply chain and the coordination mechanisms of agile supply chain. The objective is to minimize the total transportation cost and improve the customer’s service level, which is achieved by scheduling the jobs and delivering them to the next stage in batches. Based on the features of the optimal scheduling, a dynamic programming algorithm is proposed.

Abstract: This paper points out the flaws of the CIMS, and states that synergetic manufacturing method that is based on Synergetics theory, is able to overcome the majority of the flaws in CIMS. It describes a new method model of synergetic manufacturing, which divides the enterprises into three types: Design, Manufacturing and Auxiliary, they are connected via the data exchange platform that is established with the aid of internet.This new manufecturing model breaks through the limits, that traditional manufecturing industry has, among the enterprises societies and countries to realize the matter and information flows extending over country bounds in the global production chain. The paper further discusses the topics of quality chain management process and the reliability of the database that synergetic manufacturing will be using. Thus it improves the agility and competitiveness of the enterprises sharply.

Abstract: All the ships contain different metals, these metals in seawater has a different potential, soak a long time will corrupt slowly, that will affect the ship's life. In order to eliminate corrosion, we need to insulate the different metals, so that there is no corrosion current loop between them. In this paper, we developed a new type of insulation testing equipment to detect insulation for this situation. The equipment, using voltage measurement and resistance measurement for dual diagnosis, determine the degree of insulation. After the successful development of this device, a series of tests was done, get good results.

Abstract: This paper uses the principle and theory of analytic hierarchy process (AHP) to research application effectiveness of educational equipment. Seven decision elements are got by experts of the relevant field and the weight measurement is calculated via pair-wise comparison of two decision elements based on Delphi. Then this paper uses AHP to evaluate the application effectiveness of educational equipment comprehensively, and gives out the best solution according to the three evaluation results.

Abstract: The characteristics of mechanical gyroscope are high technology, complicated structure and restrict precision. Basing on this aspect, MEMS gyroscopes and accelerometers are adopted as the inertial measurement unit in this paper. S3C2440 of the ARM9 series is taken as the micro processing chip to design a system of north seeking to complete measurement, transmission, and processing and so on. MEMS sensor can reduce the influence from external environment factors on the north-seeking accuracy. ARM chips can finish collecting data and processing effectively, while the system structure could be achieved easily.

Abstract: Mechanical properties of plastic play an important role in defining the quality of injection molded products. Many studies have shown that mechanical properties of a product are influenced by the process parameters governing the injection-molding processes .This study employs Taguchi design parameters, to systematically investigate the influence of injection molding processing parameters on the tensile strength of Commercial grade Polyamide (PA-6). The result shows that the holding pressure time has main effect on the tensile strength, followed by cooling time, and holding pressure. Finally, a specimen produced according to the general form of the predictive equation of process parameters and verification test is performed on that. Test results show that the experimental value of tensile strength is very close to the estimated value.

Abstract: In order to find the alternative to conventional oil based coolants on the basis of environmental aspects, the present work investigates the effectiveness of Liquid N₂ as eco friendly coolant in the grinding of AISI D3 steel with Aluminum oxide (Al₂O₃ ) as grinding wheel. The experiment was examined in terms of surface roughness, grinding forces, grinding zone temperature, and material removal rate (MRR) in the Grinding of AISI D3 steel under various grinding conditions. The performances of liquid nitrogen cooling were compared with the conventional oil cooling and found that 30-32% reduction in the surface roughness, 30-34 % reduction in the grinding zone temperature, and about 8 % reduction in grinding forces were observed. It was also found that even at higher MRR, better surface quality obtained. In this study, it is clearly revealed that reduction in the grinding temperature leads to improvements in the grindability and cryogenic cooling by liquid N₂ as better coolant in the grinding of AISI D3 steel.