Applied Mechanics and Materials Vols. 58-60

Abstract: As networks and the development of information technology, the traditional machinery hard in some areas has been unable to satisfy the speed and performance requirements, and appeared SSD（solid state disk）. This article describes the design of a high-performance SSD control chip,the SSD control chip intergrate internal ARM7 processor, by AHB bus to rapid implement the dma data transmission, the interface with nandflash adopted eight, which can achieve on the parallel operation and improve nandflash interface speed. With the host interface uses sata2.Firmware use of the FTL algorithms, including and of the operation of the mapping. A balanced mix of wear and tear, a bad piece of management and garbage collection, and more efficient to access to SSD, improved ssd life. That the SSD chip for reading speed 200MB/S, the maximum writing speed is 140MB/s.

Abstract: The problem of robust exponential stability analysis for nonlinear uncertain interval neural networks with time delay is investigated. The nonlinear uncertainties are assumed to satisfy the cone constraint conditions. The interval parameters of the neural networks are equivalent to norm matched parameter uncertainties via some matrix transformations. The stable criteria for the uncertain interval neural networks with time delays are developed by use of the Lyapunov stability theory. All the stability conditions in this paper are presented in terms of linear matrix inequalities.

Abstract: This work adopts data related to the rotor efficiency of wind turbine to estimate the performance of wind turbine. To achieve this goal, two novel machine learning methods are adopted to build models for wind-turbine fault detection: one is the support vector data description (SVDD) and the other is the kernel principal component analysis (KPCA). The data collected from a normally-operating wind turbine are used to train models. In addition, we also build a health index using the KPCA reconstruction error, which can be used to predict the performance of a wind turbine when it operates online. The data used in our experiments were collected from a real wind turbine in Taiwan. Experiments results show that the model based on KPCA performs better than the one based on SVDD. The highest fault detection rate for KPCA model is higher than 98%. The results also indicate the validity of using rotor efficacy to predict the overall performance of a wind turbine.

Abstract: Wang et al have designed a new fuzzy signature scheme based on the discrete logarithm. This scheme has proposed a signature protocol in which the signature can be fairly exchanged between signers. This paper has put forward an improved concurrent signature scheme, which can reduce the numbers of implementing positive protocols and negative protocols when exchange and open the signatures and improve the efficiency of the algorithm. At the same time, the correctness, the non-forgeability and the fairness of the signature can be increased.

Abstract: Adoption of SCM innovations by SMEs is a key critical issue addressed by this study. The study used an explorative study in measuring to which extent Tanzanian SMEs adopt SCM practices and whether there is a trend towards increased adoption of these practices over time. In doing so, test propositions on the differences between manufacturing firms, and between medium-sized and small enterprises were done. Furthermore, the motives of SMEs to engage in SCM innovations and perceived management challenges are explored. From analysis of our findings, we conclude that, SMEs still lag behind larger firms in utilizing the benefits of SCM practices. SMEs still face obstacles like knowledge, financial resources, technology and the like. Lack of trust between small firms has been identified as a major non-financial obstacle to information sharing and integration with other suppliers in the chain.

Abstract: The ship motion is characterized by nonlinearity, time varying, uncertainty and complex interference from the environment, therefore there are certain limits in conventional PID control and self-adapting control for ship steering system. This paper combines three intelligent control technologies, that is, fuzzy control, neural network and extension control, to propose a multimode intelligent control method. Fuzzy control is utilized to solve control problem of uncertainty system, and learning ability of neural network is utilized to optimize the controller parameters. A new multi-mode transition controller based on extension control is presented and well designed in this paper, which may realize smooth switching during control process. In order to satisfy the requirements of higher accuracy and faster response of complex system, every control strategy designed can realize ideal control effect within the scope of its effective control. The simulation experiment is made to test dynamic and static performances of ship steering system under model parameter perturbation and wave interference. The simulation results show that the control system achieves satisfactory performances by implementing the multimode intelligent control.

Abstract: Based on the characteristics of Laser Metal Deposition Shaping (LMDS) technology, the related data processing algorithm was investigated in detail. This paper provides a kind of layered processing algorithm for STL file based on the limited topological information. At first, the triangle facets intersected with certain layered plane in the STL file were found out in disordered state, and then were read into the memory; secondly, the topological information was built to the found triangle facets; next, the intersecting lines between the layered plane and the triangle facets were figured out, so the contour lines on the layered plane were generated according to the founded topological sorting. Over and over, this process was finished until all layered contours were worked out. This algorithm could process the large STL files, save the memory expense, and improve the computing speed.

Abstract: This document proposes a kind of contour path offset algorithm of Laser Metal Deposition Shaping (LMDS) technology. The contour path offset is determined by both laser spot radius and post-processing allowance. Besides, the offset direction can be judged through applying the cutter offset principle of NC machining. Then the formed intersecting points of a series of equidistant lines can be connected circularly to solve the contour path offset line. Since this algorithm fully considered the near-net shaping condition of LMDS and the combined effects of laser spot radius, the precision of as-formed metal parts could be further improved.

Abstract: This document investigates two kinds of generation algorithm of filling path, namely the subarea parallel reciprocating scan and the contour parallel scan, and proposes a kind of generation algorithm of subarea scanning vector. In the process of the generation of scanning vector, this algorithm has no need to perform area judgment to every scanning vector, and promotes the algorithm efficiency. Meanwhile, the connecting path between scanning areas was optimized, thus reducing the empty run, increasing the machining efficiency, and further improving the forming quality of the inside of metal parts.

Abstract: In competitive and uncertain global business environment, manufacturing enterprises must frequently expand manufacturing capacity to respond effectively and quickly to satisfy customer needs. Outsourcing manufacturing through subcontract is an effective approach for this purpose. This paper presents a process collaboration oriented outsourcing manufacturing execution framework, which integrates the functions of manufacturing execution system (MES)inside enterprise and collaborative manufacturing system across enterprises. With the collaborative working environment based on multi agent system, the framework can support enterprises to establish optimum production schedule with due date constraint, construct virtual enterprise by outsourcing tasks to partner enterprises, and utilize internal and external resources to conduct manufacturing activities with the coordination of workflow system, so as to expand the production capacity and reduce the time to market. A prototype system is implemented and demonstrated with a case study. Introduction