Advanced Materials Research Vols. 476-478

Abstract: This paper introduces a new bamboo wood composite board structure, which board uses little diameter class bamboo as raw material. Bamboos cut into segments and remove part of the bamboo surface from double sides or four sides. Make the bamboo segments have two or four smooth surfaces. Through arrange the bamboo segments reasonably, minimize the impact of differences in bamboo segments straightness to the bamboo wood composite board. And then rolling brush the smooth bamboo segments surfaces with adhesive. Gluing between the bamboo segments from left and right sides and gluing bamboo segments with fiberboard from top and bottom sides. After the hot pressing and cutting edges, the bamboo wood composite board shaping.

Abstract: Abstract. Series waterborne polyurethane (WPU) dispersions with different 2,2-dimethylol propionic acid (DMPA) content were synthesized by the prepolymer method. Different configurations in the waterborne polyurethanes were obtained by varying the DMPA content. The structure-properties of the WPU dispersions were characterized by Fourier transformed infrared spectroscopy, Thermogravimetric analysis, differential scanning calorimetry, Zetasizer nano etc. The results indicated that the amount of urethane and urea groups (hard segment) increased in the structure of WPU chains with the increasing content of DMPA. In the meantime, the degree of micro-phase separation increased. On the other hand, as the content of DMPA increased, the particle size, the thermal stability and T-peel strength decreased. Moreover, the increased content of DMPA resulted in higher tensile strength and hardness, but lower elongation at break.

Abstract: With consideration of the impact on adaptive teaching strategy of constructivist learning theory, we put forward essential elements of the smart learning system to achieve individualized teaching. Adaptive learning is coined as a learning method through existing knowledge and experience of learners and interacting with the adaptive learning system to obtain knowledge and gain the ability. An adaptive learning framework is presented by employing fuzzy method and rule reference model. By employing Cognitive Knowledge and Self-feedback, the proposed approach improves the efficiency of learning.

Abstract: The popular fuzzy c-means algorithm based on Euclidean distance function converges to a local minimum of the objective function, which can only be used to detect spherical structural clusters. Gustafson-Kessel clustering algorithm and Gath-Geva clustering algorithm were developed to detect non-spherical structural clusters. However, Gustafson-Kessel clustering algorithm needs added constraint of fuzzy covariance matrix, Gath-Geva clustering algorithm can only be used for the data with multivariate Gaussian distribution. In GK-algorithm, modified Mahalanobis distance with preserved volume was used. However, the added fuzzy covariance matrices in their distance measure were not directly derived from the objective function. In this paper, an improved Normalized Mahalanobis Clustering Algorithm Based on FCM by taking a new threshold value and a new convergent process is proposed. The experimental results of real data sets show that our proposed new algorithm has the best performance. Not only replacing the common covariance matrix with the correlation matrix in the objective function in the Normalized Mahalanobis Clustering Algorithm Based on FCM.

Abstract: This work uses infrared physical properties to induce objects. And test results determine whether stepper motor wil run. The infrared sensor is not direct in contact with the measured object. There is no friction. The system has high sensitivity and accuracy. So it can be applied in production lines and to monitor the status of devices which is sensitive of temperature, such as engines.

Abstract: Research on e-Learning in recent years has made great achievements in the exploration and practice of teaching. However, it is urgent that the special characteristics of e-Learning calls for revisiting to the current teaching strategy under e-Learning environment. A novel teaching strategy model based on individual requirements is proposed to improve the efficiency and adaptability in the teaching process under e-Learning environment. The architecture of the proposed teaching strategy is presented by employing relevant middleware model.

Abstract: Poly (glycerol-sebacate) (PGS) is a recently synthesized elastomer with superior mechanical property, biocompatibility and biodegradation, and serves as soft tissue regeneration and engineering materials or contact guidance materials. The samples for shape memory measurements were prepared by a two steps method. The microstructure and thermal properties of PGS are studied by using Fourier transform infrared (FTIR), differential scanning calorimetry (DSC) and Dynamic-mechanical analysis (DMA) methods. The shape memory effect of PGS is recorded by bending test. It was found that a crosslinked, three-dimensional network of the PGS acting as fixed phase and the amorphous phase of the PGS acting as reversible phase are the two necessary conditions for PGS with shape memory behavior. The response temperature of shape memory is dependent on the glass transition temperature of PGS. The PGS polymer with a high elasticity and a shape-memory ratio of almost 100% showed excellent shape memory effect.

Abstract: Based on a new polishing device, the feeding model and residual error model are established according to the movement relationship of the polishing tool and the workpiece in the process. From the feeding model we can get the feed of the polishing tool in the process. And the residual error model can be used to obtain the scallop height after polishing and we can adjust the polish-step length rationally to improve machining accuracy. The two models can provide the theory basis for polishing aspheric. It confirms the exactitude and effectiveness of the two models through the simulation analysis results.

Abstract: The rheological behaviors of polyacrylonitrile/ionic liquids (PAN/ILs) melt were investigated to determine the general processing parameters and offer an important theoretical foundation of plasticized melt spinning. A step was carried out to decide the accurate temperature through the temperature sweep and time sweeps. The impacts of the concentration and temperature on the modulus of PAN/ILs samples were studied by dynamic sweeps. The three-parameter Carreau viscosity model was used to predict the zero-shear viscosity from the apparent viscosity data. The PAN/ILs melt showed shear-thinning behaviors. The melt with higher PAN concentration was found to be more sensitive to the temperature. However the structural viscosity index of the melt first decreased and then increased with the increase of temperature.

Abstract: With economic globalization and rapid development of science technology, a number of enterprises in the region work closely in the form of industrial clusters, with whose overall innovation capability increasing rapidly. It is in this situation that the conception of innovation cluster comes with the tide of fashion. This paper first reviews the study situation of networks; analyzing the structure of innovation clusters deeply, and then constructs an improved BA model to demonstrate the complex links among the innovation cluster nodes and explains their structural features, then simulate its formation mechanism and evolution process.