The paper consider heat and moisture transport within cotton fabric exposed to fire as drying process. A mathematical model of simultaneous heat and moisture transfer is proposed for the prediction of temperature distributions during high heat flux condition based on the theory of drying. Shrinkage occurring in the drying zone was incorporated into the present numerical model. Using the model, we will can understand the drying mechanism and process of flame retardant cotton fabric used for thermal protective clothing. The discrete calculation and experiments will be presented in the further study.
Abstract. In this paper, existing models of fabric's optical behaviors are classified and estimated briefly. Then, basing on the optical theories, this paper abstracts the commonness of fabric's optical behaviors and put forward an improved model of them, which includes a physical model and its corresponding mathematical model. The physical model describes the light falling on fabrics splits into six components, which compose another four components. The ten light components divided by the incident light yields ten light component parameters, which are functions of the wavelength. The mathematical model connects the ten light component parameters and gives formulas to calculate them. Thus, the light component parameters are connected with the basic optical parameters and structural parameters of fabric. This improved model provides a fundamental and theoretical guide for studying fabric's optical properties systematically, which has been proved to be effective in solving some problems related fabric optical properties.
Aiming at existing some problems, such as large calculation, not extensive category of defect recognition, and not accuracy of recognition result, this paper reanalyzes characteristic construction’s proceed of moving image by human vision, and proposes a new ‘super-fuzzy’ characteristic model of fabric based on pre-judgment mechanism. In this model, ‘super-fuzzy’ factor is introduced, and pre-judgment mechanism on coarseness set is constructed. So the characteristic can be modified with optimization according to actual condition of image. From experiments, results show that this characteristic model has such features as calculation is less, fabric images analysis is fast, fabric and defect category is extensive, pre-learning of mechanism doesn’t need, and better application is expected.
Illumination distribution on the target plane has a heavy effect on the design of a double freeform surface lens in a direct‐lit backlight unit. Gaussian distribution‐based design has better results than a uniform distribution. However, there exist two parameters in Gaussian distribution. This paper proposes a method to find the optimal values of μ and σ to obtain the better target plane irradiance distribution under an LED array. The simulated uniformity can be improved from 66.23% to 90.2% under the extended light source, which reduces the later optimization work and development time.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.