A finite volume numerical code has been developed to numerically approximate the rate of ice crystal growth in a laminar falling film flowing down a cooled vertical plate. The governing energy equation contains the phase energy as the source term. Enhancement of heat transfer as a result of suspended ice crystals is accounted for in the use of effective values of thermal conductivity, viscosity, thermal diffusivity, and specific heat as function of volumetric concentration of ice crystals in the falling film. Nusselt number, overall heat transfer coefficients between the fluid and cooled plate, and ice crystal growth rate were calculated for different film thicknesses with and without axial diffusion. Nusselt number and ice crystal growth rates were found to be dependent on film thickness. Axial diffusion effects were found to be negligible for larger film thickness (large flowrate). 相似文献
A time-dependent, two-dimensional mathematical model of a reciprocating Active Magnetic Regenerator (AMR) operating at room-temperature has been developed. The model geometry comprises a regenerator made of parallel plates separated by channels of a heat transfer fluid and a hot as well as a cold heat exchanger. The model simulates the different steps of the AMR refrigeration cycle and evaluates the performance in terms of refrigeration capacity and temperature span between the two heat exchangers. The model was used to perform an analysis of an AMR with a regenerator made of gadolinium and water as the heat transfer fluid. The results show that the AMR is able to obtain a no-load temperature span of 10.9 K in a 1 T magnetic field with a corresponding work input of 93.0 kJ m−3 of gadolinium per cycle. The model shows significant temperature differences between the regenerator and the heat transfer fluid during the AMR cycle. This indicates that it is necessary to use two-dimensional models when a parallel-plate regenerator geometry is used. 相似文献
Even at very low concentrations human pathogenic viruses may result in infection and possibly subsequent disease. Ideally, viruses are quantified by use of cell culture assays to determine their infectivity. Plaque assays are common tools for enumeration of viruses in inocula and this process is straightforward when a plaque results from the offspring of a single infectious virus particle. In the course of a study on the usefulness of sewage monitoring for surveillance of polio-virus transmission, sewage samples containing a mixture of two live polio vaccine strains (type 1 and type 3) were analyzed. The total poliovirus concentration in plaque forming units (pfu) was estimated by means of a monolayer plaque assay on L20B cells. Subsequent typing of virus directly by neutralisation of virus from excised plaques revealed the occurrence of plaques containing both type 1 and type 3 virus. This means that there must be plaques that originate from more than one initial infectious virus particle. As a consequence, the estimated virus concentration is incorrect. We present statistical methods that utilize these mixed plaque counts to estimate the concentrations of either virus type in our sewage samples. We can also calculate a correction factor for the error in virus concentration, which would result from equating a pfu to a single infectious particle. Since many quantitative methods in microbiology are based on colony counts, we conclude that such counts should be interpreted with caution, especially when data are used in quantitative microbial risk assessment to estimate the public health impact. 相似文献
Thin cap fibroatheroma (TCFA) or “vulnerable plaque” is responsible for the majority of coronary artery death. Virtual Histology Intravascular Ultrasound (VH-IVUS) image is a clinically available method for visualizing color coded tissue maps. However, this technique has considerable limitations in providing medical relevant information for identifying vulnerable plaque. The aim of this paper is to improve the identification of TCFA in VH-IVUS image. Therefore, this paper proposes a set of algorithms for segmentation, feature extraction, and plaque type classification to accurately identify TCFA. A hybrid model using the FCM and kNN (HFCM-kNN) is proposed to accurately segment the VH-IVUS image. The proposed technique is capable of eliminating outliers and detecting clusters with different densities in VH-IVUS image. The next process is extracting plaque features to provide an accurate definition of the unstable (vulnerable) plaque. To achieve the above contribution, five algorithms are proposed to extract significant features from VH-IVUS images. Machine learning approaches are applied for training 440 in-vivo images obtained from 8 patients. Results proved the dominance of the proposed method for TCFA detection with accuracy rate of 98.02% compared with the 76.5% obtained by the cardiologist decision. Moreover, by validation of VH-IVUS images and their corresponding Optical Coherence Tomography (OCT) images, accuracy of 92.85% is achieved. 相似文献
Three bacteriophages (phage), ΦWC53, ΦWC54, and ΦWC56, of Weissella were isolated from watery kimchi and characterized. ΦWC53 belonged to Siphoviridae and ΦWC54 and ΦWC56 belonged to Myoviridae family. By one-step growth, the burst sizes were 5–260 particles/infected cells and the latent periods were 20–45 min. The phages infected Weissella spp., Leuconostoc mesenteroides, and Lactobacillus spp., differently by showing clear or turbid plaques. The phage adsorption rates on lactic acid bacteria were high on Weissella and low on Leuconostoc and Lactobacillus. However, the adsorption of ΦWC53 occurred variously among Weissella spp. and Weissella host grew well in the liquid culture without lysis after challenging by ΦWC53. Tolerances of these phages to temperature showed more various than those to pH. ΦWC53 was stable at 7 °C and 30 °C, but ΦWC54 and ΦWC56 were stable only at 7 °C. Therefore, three Weissella phages belonged to the different families and indicated diverse infection patterns on Weissella, Leuconostoc, and Lactobacillus with various stabilities for pH and temperature.