Kun Shan University

About: Kun Shan University is a education organization based out in Tainan City, Taiwan. It is known for research contribution in the topics: Heat transfer & Thin film. The organization has 1992 authors who have published 2928 publications receiving 45685 citations. The organization is also known as: Kūnshān Kējì Dàxué.

Application of DMEU/SiO2 gel solution in the antiwrinkle finishing of cotton fabrics

Abstract: In this experiment, cotton fabrics were treated by padding, drying, and curing with an antiwrinkle finishing reagent, dimethylolethylene urea (DMEU), in combination with different concentrations of tetraethoxysilane (TEOS) and isopropanol (IPA) at various volumes. The treated fabrics were studied to determine the effects of adding TEOS and IPA. They were also analyzed using Fourier transform infrared (FTIR) and nuclear magnetic resonance (NMR) methods to examine the binding between SiO2 and DMEU. The results showed that hydrogen bonds formed between SiO2 and DMEU. TEOS was found to improve the antiwrinkle properties, tensile strength retention, and yellowing of the treated fabrics, although their softness was slightly reduced. The solvent IPA was shown to decrease the tensile strength of treated fabrics, although it improved their antiwrinkle properties. We observed only one stage of pyrolysis in untreated cotton fabrics, whereas the treated fabrics showed two stages. In addition, the fabrics treated with TEOS showed improved heat resistance. Our findings demonstrated that cotton fabrics showed excellent antiwrinkle properties and high tensile strength, when treated with a finishing solution composed of DMEU, 3% TEOS, IPA and water, followed by predrying and curing. © 2006 Wiley Periodicals, Inc. J Appl Polym Sci 102: 4136–4143, 2006

Mass Detection Using a Graphene-Based Nanomechanical Resonator

Abstract: The potential of using graphene as a nanomechanical resonator is explored. A graphene-resonator sensor is assumed to be a simply supported rectangular plate. The frequency equation of the sensor with an attached mass is derived analytically using nonlocal elasticity theory. The results indicate that increasing the nonlocal parameter markedly increases the frequency shift of the sensor, and the frequency shift becomes larger as the aspect ratio approaches 1. Therefore, in order to obtain the highest sensitivity, a square geometrical sensor should be used. The mass sensitivity can reach up to 10-27 g/Hz.

All-optically controllable random laser based on a dye-doped polymer-dispersed liquid crystal with nano-sized droplets

Abstract: This study elucidates for the first time an all-optically controllable random laser in a dye-doped polymer-dispersed liquid crystal (DDPDLC) with nano-sized LC droplets. Experimental results demonstrate that the lasing intensity of the random laser can be controlled to decrease by increasing irradiation time/intensity of one green beam, and increase by increasing the irradiation time of one red beam. The all-optical controllability of the random laser is attributed to the green (red)-beam-induced isothermal nematic→isotropic (isotropic→nematic) phase transition in LC droplets by trans→cis (cis→trans back) isomerization of azo dyes. This isomerization may decrease (increase) the difference between the refractive indices of the LC droplets and the polymer, thereby increasing (decreasing) the diffusion constant (or transport mean free path), subsequently decreasing the scattering strength and, thus, random lasing intensity.

Ant colony optimization with parameter adaptation for multi-mode resource-constrained project scheduling

Abstract: An effective algorithm capable of solving the multi-mode resource-constrained project scheduling problem (MRCPSP) is an essential component for project planning and control since it can fully exploit the available resources and minimize the makespan of a given project. The MRCPSP is extremely complex and is known to be NP-hard in the strong sense. On the basis of the principles of ant colony optimization (ACO), we therefore propose a constructive-oriented iterative algorithm to acquire satisfactory solutions of the MRCPSP within a reasonable amount of computation time. The proposed algorithm, namely ACO-MRCPSP, attempts to identify a project schedule with minimum completion time without violating precedence and resource constraints. ACO-MRCPSP is characterized by its use of a self-adaptive parameter control strategy to guide artificial ants to effectively construct feasible solutions for the MRCPSP. The performance of the proposed algorithm is evaluated by comparing it against other existing metaheuristic implementations, such as simulated annealing (SA) and genetic algorithms (GAs), in terms of overall completion time for a set of project instances obtained form the Project Scheduling Library (PSPLIB). Experimental results indicate that ACO-MRCPSP is a significant improvement compared with the previous attempts at solving the MRCPSP.

Design of dynamic voltage restorer with disturbance-filtering enhancement

Abstract: In this paper, a new approach for the design of dynamic voltage restorer is proposed. By installing the filtering scheme at utility side and load side, the designated dynamic voltage restorer not only effectively compensates the voltage disturbances, but also helps ensure the supplying power quality. To validate the effectiveness of the method, several disturbance scenarios including voltage sag, oscillatory transients and power surges were examined in the simulation study. This is further supported through the hardware realization of the proposed design, where experimental results obtained under load change and voltage distortion scenarios were both investigated. Test results revealed that the proposed method is able to withstand possible disturbances at a faster dynamic response, thereby consolidating the feasibility and practicality of the approach for the applications considered.