Nanoceria synthesis in the KCl‐LiCl salt system: Crystal formation and properties

Nanoceria is an important function material and is widely used in catalytic applications due to its excellent redox properties. Here, we report a simple method to synthesize uniform polyhedral nanoceria powder by the KCl‐LiCl molten salt method. TEM micrographs of the product showed that polyhedral nanoceria particles of 30 nm average size were obtained from cerium carbonate hydroxide when treated at 600°C for 4 hours. Results indicated that the crystal structure broke down to ceria crystal nuclei in the molten salt system at an elevated temperature, and the Ce³⁺ dissolved in the KCl‐LiCl molten salts provided a cerium source for crystal growth. The crystal and particle sizes increased with treatment temperature. UV‐visible absorption results showed that this nanoceria powder had a significant red shift, and its narrow band gap of 2.7 eV suggests a potential application for photocatalysis. The produced nanoceria had a somewhat lower catalytic activity for CO oxidization than commercial nanoceria, mainly due to smaller specific surface area, but had a higher stability.     

Flow visualization of microscale effusion cooling within mainstream boundary layer on a flat plate

Effusion cooling can be one of the attractive methods of cooling in a current high-efficiency gas turbine which has a very hot gas temperature above 1600 °C. For higher effectiveness of the air cooling for a gas turbine vane and blade, the air-cooled flow through effusionholes should not overshoot into the mainstream flow but still remain within the mainstream boundary layer. The present study is intended to examine flow structure of a microscale effusion cooling for gas turbine applications through flow visualization which is highly effective to obtain better understanding of the flow physics. The air flow through effusion-holes can be visualized with an oil atomized droplets, a laser-sheet and a high-speed CCD imaging system. The qualitatively visualized results show their flow patterns and characteristics with different effusion hole size and blowing ratio for effusion cooling. A series of vortical structure can be observed within the boundary layer along the microscale effusion flat plate which provided that the effusion cooling can be a plausible candidate up to the effusion-hole size of 0.7 mm.     

The development of a quality prediction system for aluminum laser welding to measure plasma intensity using photodiodes

Lightweight metals have been used to manufacture the body panels of cars to reduce the weight of car bodies. Typically, aluminum sheets are welded together, with a focus on weld quality assurance. A weld quality prediction system for the laser welding of aluminum was developed in this research to maximize welding production. The behavior of the plasma was also analyzed, dependent on various welding conditions. The light intensity of the plasma was altered with heat input and wire feed rate conditions, and the strength of the weld and sensor signals correlated closely for this heat input condition. Using these characteristics, a new algorithm and program were developed to evaluate the weld quality. The design involves a combinatory algorithm using a neural network model for the prediction of tensile strength from measured signals and a fuzzy multi-feature pattern recognition algorithm for the weld quality classification to improve predictability of the system.

     

Doppler score for evaluating perinatal risk

Doppler sonography now has a definite place in the surveillance of risk pregnancies. Uniform clinical management is sometimes difficult especially in borderline cases. The following study demonstrates the possibility of standardizing and systematizing Doppler results using a score. In a collective of 253 pregnant women we performed Doppler examinations in the fetal aorta, umbilical artery, middle cerebral artery, internal carotid artery. The results were divided into 4 groups and correlated to the fetal outcome. There was a highly significant worsening in prognosis regarding duration of pregnancy, birth weight and rate of cesarean sections with increasing Doppler score. In the event of pathological and highly pathological scores, the average duration of pregnancy was 23 and 48 days shorter than normal. As a result, there was a highly significant reduction in the average birth weight compared to fetuses with normal Doppler scores: by 1060.7 g in the case of a pathological score and by 1633.5 g in the case of a highly pathological score. There was a highly significant correlation concerning the rate of cesarean sections and the indication "fetal distress". The average interval between diagnosis and birth was 6.3 days in the case of pathological Doppler findings and 2.3 days in the case of highly pathological findings. The difference was highly significant. In the case of highly pathological scores all fetuses were delivered after at least 5 days, compared with after at least more than 10 days in those with only pathological Doppler findings. This reflects the fact that there is none room for discretion in case of a highly pathological flow. In summary the Doppler score allows better estimation of fetal risk and can improve fetal prognosis by special monitoring and earlier obstetric intervention.     

Effects of advance ratio on elytra-hindwing interaction in forward flying Coleopteran beetle

In the present study, numerical simulations are performed to explore the significance of elytron-hindwing interaction in the forward flying Coleopteran beetle. The study investigates the effects of hindwing stroke amplitude (A/c) and advance ratio (J), (which is defined as the ratio of the incoming air velocity to the wing flapping velocity), on the aerodynamic forces. The wing kinematics of a Coleopteran beetle is constructed by using a combination of translation and rotation motion. The elytron is modeled by using a cambered airfoil that mimics the real geometry of the beetle wing, and the hindwing is modeled by using an elliptical profile. The results indicate that the beetle cruises with a constant velocity at approximately J = 0.3 in the tandem wing arrangement. It is observed that the angle of the net force vector relative to the stroke plane tilts systematically according to the flying speed. The influence of vortex structures on the beetle aerodynamic forces is analyzed. The elytron-hindwing interaction is found to be beneficial to the vertical force generation of hindwing as well as for the elytron when J > 0.0. The vortices interaction is observed during the downstroke period, and the leading edge vortex (LEV) of the elytron is captured by LEV of the hindwing that enhances the total vertical force. During the upstroke translation phase, the combined trailing edge vortex of elytron interacts/merges with the LEV of the hindwing and increases the horizontal force.     

Stock fraud detection using peer group analysis

This study proposes a method to detect suspicious patterns of stock price manipulation using an unsupervised data mining technique: peer group analysis. This technique detects abnormal behavior of a target by comparing it with its peer group and measuring the deviation of its behavior from that of its peers. Moreover, this study proposes a method to improve the general peer group analysis by incorporating the weight of peer group members into summarizing their behavior, along with the consideration of parameter updates over time. Using real time series data of Korean stock market, this study shows the advantage of the proposed peer group analysis in detecting abnormal stock price change. In addition, we perform sensitivity analysis to examine the effect of the parameters used in the proposed method.     

Understanding the solidification of stainless steel slag and dust mixtures

The solidification of a multicomponent stainless steel slag and dust composite has been studied by thermodynamic calculations using Factsage and analyses of samples using EPMA and Rietveld refinement of synchrotron X‐ray powder diffraction after various cooling rates. At an apparent cooling rate of 1 K/min, the content of spinel (10.6 wt%) was less than thermodynamically calculated (16.6 wt%), largely because of difficulties in the diffusion of depleted ions (including Cr, Mn, and Ni) in the liquid with very gradual compositional gradients. Melilite showed a uniform but distorted crystal structure of P2₁2₁2 and its content (48.9 wt%) was larger than the calculated result (32.3 wt%). At apparent cooling rates of 10 K/min and 50 K/min, a slight decrease in spinel and a significant decrease in melilite were observed, and the spinel was divided into two regions with an identical space group of Fdm but with distinguished composition and lattice parameters. However, the amorphous proportion consistently increased with the cooling rate from 29.4 wt% at 1 K/min to 69.6 and 92.9 wt% at 10 K/min and 50 K/min respectively.     

Removal of micropollutants and NOM in carbon nanotube-UF membrane system from seawater

One of the main problems for seawater reverse osmosis desalination is membrane fouling associated with natural organic matter. Bisphenol-A (BPA) and 17alpha-ethinylestradiol (EE2) are well-known endocrine-disrupting compounds that have been detected in wastewater and seawater. In this study, the contribution of carbon nanotubes (CNTs, single-walled carbon nanotubes) to membrane fouling control and the potential adsorption mechanisms of BPA and EE2 were investigated using artificial seawater (ASW) in a bench scale ultrafiltration (UF) membrane coupled with CNTs. For high ionic strength ASW, UVA254 nm is a good alternative for highly aromatic dissolved organic carbon (DOC) determination, with a very strong linear relationship (R2 > or = 0.99) with increasing DOC concentrations. Approximately 80% of DOC in ASW was rejected by the CNT-UF system where 31% of DOC was removed due to adsorption by CNTs. The presence of CNTs shows a 20% increase in membrane flux in ASW. A strong linear correlation between retention and adsorption of BPA and EE2 was obtained. The percentage of adsorption/retention of BPA and EE2 in UF-CNTs follows the order: 94.0/96.6 (DI + CNTs, EE2) > 86.2/90.0 (ASW + CNTs, EE2) > 73.6/78.9 (DI + CNTS, BPA) > or = 74.1/77.3 (ASW + CNTS, BPA) > 29.8/29.8 (ASW, EE2) approximately equal to 27.3/27.3 (ASW, BPA) > or = 25.3/25.3 (DI, EE2) approximately equal to 24.8/24.8 (DI, BPA). This indicates that retention by the UF-CNT system is mainly due to adsorption. Overall, EE2 adsorption was greater than BPA during the UF-CNT experiments, presumably due to the higher hydrophobicity of EE2 than BPA.     

The algorithmic complexity of mixed domination in graphs

Let G=(V,E) be a simple graph with vertex set V and edge set E. A subset W⊆V∪E is a mixed dominating set if every element x∈(V∪E)?W is either adjacent or incident to an element of W. The mixed domination problem is to find a minimum mixed dominating set of G. In this paper we first prove that a connected graph is a tree if and only if its total graph is strongly chordal, and thus we obtain a polynomial-time algorithm for this problem in trees. Further we design another linear-time labeling algorithm for this problem in trees. At the end of the paper, we show that the mixed domination problem is NP-complete even when restricted to split graphs, a subclass of chordal graphs.