Hybrid Monte Carlo for photon transport through optically thick scattering media

A Monte Carlo simulation code developed to model time-domain transillumination measurements with small-area detectors through an optically thick scattering slab is presented. A hybrid approach has been implemented to reduce calculation times. Most of the scattering slab is treated stochastically, albeit with variance reduction techniques and the isotropic diffusion similarity rule. The contribution to the output signal per unit area and time of photon packets propagating in a thin slice near the output face of the slab is calculated analytically after each propagation step. This approach drastically reduces the calculation time but produces spikes in the temporal signals.     

A study of volatile organic compounds decomposition with the use of non-thermal plasma

Non-thermal plasma processing is an effective method to decompose diluted VOC contaminants in manufacturing rooms for the electronic industry. In this paper, two different discharge-type laboratory scale reactors (Double Dielectric Barrier Discharge and Packed-Bed Discharge) that generate non-thermal plasma have been developed and the decomposition tests were conducted. The tested VOC was Benzene, Toluene, Xylene, P-cumene, Diethylether and Dichlormethane. It was found from the experimental results for the present reactors that Benzene oxidization required higher energy than the other aromatic hydrocarbons with side branches. The decomposition efficiency was high for Cumene and Xylene (two methyl-side groups) and low for Toluene (one methyl group) and Diethylether. One of the frequently used solvents in semiconductor industry, Dichlormethane which can destroy atmospheric ozone layer, could be decomposed in the Double Dielectric Barrier Discharge with minimum power consumption and the DDBD reactor had a little higher decomposition efficiency than the Packed-Bed reactor.     

Inkjettable conductive adhesive for use in microelectronics and microsystems technology

Ink jet is an accepted technology for dispensing small volumes of material (50–500 picolitres). Currently traditional metal-filled conductive adhesives cannot be processed by ink jetting (owing to their relatively high viscosity and the size of filler material particles). Smallest droplet size achievable by traditional dispensing techniques is in the range of 150 μm, yielding proportionally larger adhesive dots on the substrate. Electrically conductive inks are available on the market with metal particles (gold or silver) <20 nm suspended in a solvent at 30–50 wt%. After deposition, the solvent is eliminated and electrical conductivity is enabled by a high metal ratio in the residue. Some applications include a sintering step. These nano-filled inks do not offer an adhesive function. Work reported here presents materials with both functions, adhesive and conductive. This newly developed silver filled adhesive has been applied successfully by piezo-ink jet and opens a new dimension in electrically conductive adhesives technology.The present work demonstrates feasibility of an inkjettable, isotropically conductive adhesive in the form of a silver loaded resin with a two-step curing mechanism: In the first-step, the adhesive is dispensed (jetted) and precured leaving a ‘dry’ surface. The second step consists of assembly (wetting of the 2nd part) and final curing.     

FM-to-AM conversion in high-power lasers

FM-to-AM conversion is an important issue that could prevent fusion ignition with high-power lasers, such as the Laser MegaJoule (LMJ). We first overview the whole problem of FM-to-AM conversion in high-power lasers and we explain why AM spectral content of FM-to-AM conversion is important, although this information was not used in previous studies. We then propose simple analytical models to simulate FM-to-AM conversion in the LMJ frequency conversion system. We succeed in isolating every cause of spectrum distortion and give, for each of them, FM-to-AM predictions that are in very good agreement with simulations of a complex propagation code. Finally, we show how the last grating filters most of the FM-to-AM conversion. We conclude that the FM-to-AM conversion distortion criterion will be, on LMJ, below 40% in the last optics and 10% on the target.     

Organics removal in oily bilgewater by electrocoagulation process

This study investigated the treatment of oily bilgewater using an electrocoagulation technique. Electrocoagulation process was evaluated at laboratory scale (1.7 l electrolytic cell) and involved utilization of two kinds of electrodes (iron and aluminium) arranged either in bipolar (BP) or monopolar (MP) configuration. Results showed that the best performance was obtained using mild steel MP electrode system operated at a current intensity of 1.5A, through 60 or 90 min of treatment. Under these conditions, removal yields of 93.0+/-3.3% and 95.6+/-0.2% were measured for BOD and O&G, respectively, whereas CODs and CODt were removed by 61.3+/-3.6% and 78.1+/-0.1%, respectively. Likewise, 99.4+/-0.1% of n-C10 to n-C50 hydrocarbons was removed from oily bilgewater. Electrocoagulation was also efficient for clarification of OBW. Removal yields of 99.8+/-0.4% and 98.4+/-0.5% have been measured for TSS and turbidity, respectively. Electrocoagulation process operated under the optimal conditions involves a total cost of 0.46 US$ per cubic meter of treated OBW. This cost only includes energy and electrode consumptions, chemicals, and sludge disposal.     

Impact of treated wastewater irrigation on antibiotic resistance in agricultural soils

Antibiotic resistance (AR) is a global phenomenon with severe epidemiological ramifications. Anthropogenically impacted natural aquatic and terrestrial environments can serve as reservoirs of antibiotic resistance genes (ARG), which can be horizontally transferred to human-associated bacteria through water and food webs, and thus contribute to AR proliferation. Treated-wastewater (TWW) irrigation is becoming increasingly prevalent in arid regions of the world, due to growing demand and decline in freshwater supplies. The release of residual antibiotic compounds, AR bacteria, and ARGs from wastewater effluent may result in proliferation of AR in irrigated soil microcosms. The aim of this study was to assess the impact of TWW-irrigation on soil AR bacterial and ARG reservoirs. Tetracycline, erythromycin, sulfonamide, and ciprofloxacin resistance in soil was assessed using standard culture-based isolation methods and culture-independent molecular analysis using quantitative real-time PCR (qPCR). High levels of bacterial antibiotic resistance were detected in both freshwater- and TWW-irrigated soils. Nonetheless, in most of the soils analyzed, AR bacteria and ARG levels in TWW-irrigated soils were on the whole identical (or sometimes even lower) than in the freshwater-irrigated soils, indicating that the high number of resistant bacteria that enter the soils from the TWW are not able to compete or survive in the soil environment and that they do not significantly contribute ARG to soil bacteria. This strongly suggests that the impact of the TWW-associated bacteria on the soil microbiome is on the whole negligible, and that the high levels of AR bacteria and ARGs in both the freshwater- and the TWW-irrigated soils are indicative of native AR associated with the natural soil microbiome.     

Faults prognosis using partially observed stochastic Petri-nets: an incremental approach

This article deals with the problem of fault prognosis in stochastic discrete event systems. For that purpose, partially observed stochastic Petri nets are considered to model the system with its sensors. The model represents both healthy and faulty behaviors of the system. Our goal is, based on a timed measurement trajectory issued from the sensors, to compute the probability that a fault will occur in a future time interval. To this end, a procedure based on an incremental algorithm is proposed to compute the set of consistent behaviors of the system. Based on the measurement dates, the probabilities of the consistent trajectories are evaluated and a state estimation is obtained as a consequence. From the set of possible current states and their probabilities, a method to evaluate the probability of future faults is developed using a probabilistic model. An example is presented to illustrate the results.