Simulation of the Forming Behaviour of a Boron Modified P91 Ferritic Steel

The forming behaviour at high temperature of a modified 9%Cr‐1%Mo (P91) ferritic steel containing B and Ti for elevated temperature service was investigated. The microstructure of the as‐received material is mainly martensite at room temperature, but special etching revealed prior austenite grains of about 25 μm in size. Torsion tests were conducted at temperatures in the range 850 to 1250 °C to simulate the hot rolling process under comparable conditions of temperature, strain rate and strain. The deformation data obtained from these tests were correlated with the Garofalo equation with a stress exponent of 4.6 and an activation energy of 315 kJ/mol. This equation was used to predict the formability behaviour for the rolling process and also to determine the maximum forming efficiency and stability of the steel. A temperature of 1200 °C is recommended to conduct the forming process.     

RECURSIVE GENERALIZED M ESTIMATES FOR AUTOREGRESSIVE MOVING-AVERAGE MODELS

Abstract. Outliers in time series seriously affect conventional parameter estimates. In this paper a robust recursive estimation procedure for the parameters of auto-regressve moving-average models with additive outliers is proposed. Using 'cleaned' residuals from an initial robust fit of an autoregression of high order as input, bounded influence regression is applied recursively. The proposal follows certain ideas of Hannan and Rissanen, who suggested a three-stage procedure for order and parameter estimation in a conventional setting.
A Monte Carlo study is performed to investigate the robustness properties of the proposed class of estimates and to compare them with various other suggestions, including least squares, M estimates, residual autocovariance and truncated residual autocovariance estimates. The results show that the recursive generalized M estimates compare favourably with them. Finally, possible modifications to master even vigourous situations are suggested.     

Parallel Approach for Ensemble Learning with Locally Coupled Neural Networks

Ensemble learning has gained considerable attention in different tasks including regression, classification and clustering. Adaboost and Bagging are two popular approaches used to train these models. The former provides accurate estimations in regression settings but is computationally expensive because of its inherently sequential structure, while the latter is less accurate but highly efficient. One of the drawbacks of the ensemble algorithms is the high computational cost of the training stage. To address this issue, we propose a parallel implementation of the Resampling Local Negative Correlation (RLNC) algorithm for training a neural network ensemble in order to acquire a competitive accuracy like that of Adaboost and an efficiency comparable to that of Bagging. We test our approach on both synthetic and real datasets from the UCI and Statlib repositories for the regression task. In particular, our fine-grained parallel approach allows us to achieve a satisfactory balance between accuracy and parallel efficiency.     

Disinfection Capacity of High-Power Ultrasound Against E. coli O157:H7 in Process Water of the Fresh-Cut Industry

The fresh-cut industry must treat process water to guarantee its microbial quality before reuse or recirculation back into the processing line. In the present study, the suitability of high-power ultrasound (HPU) for disinfecting and recycling process water was evaluated. An ultrasonic horn (20 kHz) was used to inactivate Escherichia coli O157:H7 inoculated in five types of process water which showed different physical and chemical characteristics. Differences in the inactivation level of E. coli O157:H7 at different HPU densities (0.14, 0.28, 0.56, and 1.12 kW/L) with controlled (20–25 °C) and uncontrolled (15–72 °C, 3.6 °C/min) temperature increase were studied. Results showed that the higher the power density and temperature, the higher the efficiency, reaching up to 6 log reductions of E. coli O157:H7. Alkalinity (between 0 and 253 mg HCO₃ ^?/L) and organic matter concentration (between 9 and 3,525 mg O₂/L) in water did not reduce ultrasonic efficacy against E. coli O157:H7. Agglomerates >90 μm, which represented 34 % of those present in the process water, were reduced to only 11 % by HPU. Results indicate that HPU can be successfully applied to treat process water of the fresh produce industry because the antimicrobial efficacy was not affected by the continuous variation of the process water quality. HPU can be a suitable technology for the fresh produce industry to be able to reduce consumption of water and decrease wastewater and the generation of disinfection by-products.     

The Effect of Phosphorus on the Microstructure and Properties of Compacted Graphite (CG) Irons

Abstract

The effect of up to 0.15% phosphorus on the microstructure and mechanical properties of step-block castings made from compacted- graphite iron has been examined. There was no major effect on the microstructure, but two minor effects were observed. First, the higher-phosphorus irons showed a small increase in the amount of carbides and pearlite within the microstructure, but there was no effect on the depth of surface chill. Second, at low magnesium contents the higher-phosphorus irons demonstrated a marked increase in the amount of flake graphite. Phosphorus had no adverse effect on tensile strength, and a reported lowering of tensile elongation at elevated phosphorus content was not found in this work. There was, however, a decrease in Charpy impact toughness at higher phosphorus levels.     

Operating conditions for the electrolytic disinfection of process wash water from the fresh-cut industry contaminated with E. coli o157:H7

The effect of operating conditions (current density, recirculation flow rate and electrode doping level) on the efficacy of boron-doped diamond (BDD) electrodes to inactivate microorganisms and decrease chemical oxygen demand (COD) was studied in lettuce process wash water with a COD of 725 mg/L and inoculated with a 5-strain cocktail of Escherichia coli O157:H7. Changes in pathogen population, COD, pH, temperature, redox potential, and free and total chlorine were monitored in process wash water during treatments. Considering the specific characteristics of the washing step included in the fresh-cut processing, the disinfection of process wash water should be of fast action. A biphasic with a shoulder model was used to estimate shoulder length (Sl), log-linear inactivation rates (k_max1, k_max2), lowest population (N_f) and highest log reduction (HLR). Current density clearly influenced Sl, and k_max2; recirculation flow rate influenced Sl, k_max1, k_max2 and COD depletion; and doping level influenced N_f. No relationship was observed between inactivation parameters and chlorine concentration. Conditions including high current density (180 mA/cm²), high flow rate (750 l/h) and high doping level (8 000 μmol/mol) seems to provide a disinfection efficiency suitable to decrease the chance of bacterial cross contamination in the fresh-cut industries while saving on water consumption and decreasing the amount of wastewater effluents.     

Quorum sensing inhibitory and antimicrobial activities of honeys and the relationship with individual phenolics

Quorum sensing (QS) inhibitory activity of 29 unifloral honeys was evaluated using the bacterial model Cromobacterium violaceum. The tested honeys were able to inhibit the production of acyl-homoserine lactones (AHLs) produced by C. violaceum at 0.1 g/ml. However, chestnut and linden honey samples showed the highest inhibitory activity, while orange and rosemary were less effective in inhibiting QS. When honey samples from the same floral origin obtained from different geographical regions were compared, they showed similar QS inhibitory activity. Thus, one of the factors which influence the inhibitory activity could be derived from the floral origin, independently of the geographic location. It was observed that unifloral honey samples showed “non-peroxide” anti-QS activity, which was not linearly correlated with total and individual phenolic compounds. The obtained results showed that the preservative properties of honey could be due to both the antimicrobial properties and the QS inhibitory capacity.     

Human-Xenopus chimeras of Gs alpha reveal a new region important for its activation of adenylyl cyclase

G proteins are heterotrimeric GTPases that play a key role in signal transduction. The alpha subunit of Gs bound to GTP is capable of activating adenylyl cyclase. The amino acid sequences derived from two X. laevis cDNA clones that apparently code for Gs alpha subunits are 92% identical to those found in the short form of human Gs alpha. Despite this high homology, the X. laevis Gs alpha clones expressed in vitro, yielded a protein that are not able to activate the adenylyl cyclase present in S49 cyc- membranes in contrast with human Gs alpha similarly expressed. This finding suggested that the few amino acid substitutions found in the amphibian subunit are important in defining the functionality of the human Gs alpha. The construction of chimeras composed of different fractions of the cDNAs of the two species was adopted as an approach in determining the regions of the molecule important in its functionality in this assay. Four pairs of chimeras were constructed using reciprocal combinations of the cDNAs coding for human and Xenopus Gs alpha. These eight constructs were expressed in vitro and equivalent amounts of the resulting proteins were assayed in the activation of adenylyl cyclase with GTP gamma and isoproterenol. The results obtained here clearly indicate that the G alpha sequence that extends from amino acid 70 to 140, is important for the functionality of human Gs alpha in activating adenylyl cyclase.     

Interaction between polyvinylpyrrolidone and surfactant from viscosimetric data

The intrinsic viscosities of solutions of polyvinylpyrrolidone (PVP) in water-sodium dodecyl sulphate have been measured, for four different molecular weights of PVP, and different concentrations of sodium dodecyl sulphate at temperatures between 20 and 35°C. The exponent a of the Mark-Houwink-Sakurada equation has been determined, and the values of the short range interaction parameter K_θ, and expansion factor α_η derived. Above a certain concentration the sodium dodecyl sulphate is adsorbed on the polymer by means of hydrophobic attractions, and the consequent repulsion between anionic heads provokes expansion of the macromolecule.     

Fault Detection in Switched Current Circuits Using Built-in Transient Current Sensors

Switched current (SI) circuits use analogue memory cells as building blocks. In these cells, like in most analogue circuits, there are hard-to-detect faults with conventional test methods. A test approach based on a built-in dynamic current sensor (BIDCS), whose detection method weights the highest frequency components of the dynamic supply current of the circuit under test, makes possible the detection of these faults, taking into account the changes in the slope of the dynamic supply current induced by the fault. A study of the influence of these faults in neighbouring cells helps to minimize the number of BICS needed in SI circuits as is shown in two algorithmic analogue-to-digital converters. Yolanda Lechuga received a degree in Industrial Engineering from the University of Cantabria (Spain) in April 2000. Since then, she has been collaborating with the Microelectronics Engineering Group at the University of Cantabria, in the Electronics Technology, Systems and Automation Engineering Department. Since October 2000 she has been a post-graduate student, to be appointed as lecturer at this university, where she is working in her Ph.D. She is interested in supply current test methods, fault simulation, BIST and design for test of mixed signal integrated circuits. Román Mozuelos received a degree in Physics with electronics from the University of Cantabria, Spain. From 1991 to 1995 he was working on the development of quartz crystal oscillators. Currently, he is a Ph.D. student and an assistant teacher at the University of Cantabria in the Department of Electronics Technology. His interests include mixed-signal design and test, fault simulation, and supply current monitoring. Miguel A. Allende received his graduate degree in 1985 and Ph.D. degree in 1994, both from the University of Cantabria, Santander, Spain. In 1996, he became an Assistant Professor of Electronics Technology at the same Institution, where he is a member of the Microelectronics Engineering Group at the Electronics Technology, Systems and Automation Engineering Department in the Industrial and Telecommunication Engineering School. His research interests include design of VLSI circuits for industrial applications, test and DfT in digital VLSI communication circuits, and power supply current test of mixed, analogue and digital circuits. Mar Martínez received her graduate degree and Ph.D. from the University of Cantabria (Spain) in 1986 and 1990. She has been Assistant Professor of Electronic Technology at the University of Cantabria (Spain) since 1991. At present, she is a member of the Electronics Technology, Systems and Automation Engineering Department in the Industrial and Telecommunication Engineering School. She has participated in several EU and Spanish National Research Projects. Her main research interest is mixed, analogue and digital circuit testing, using techniques based on supply current monitoring. She is also interested in test and design for test in digital VLSI circuits. Salvador Bracho obtained his graduate degree and Ph.D. from the University of Seville (Spain) in 1967 and 1970. He was appointed Professor of Electronic Technology at the University of Cantabria (Spain) in 1973, where, at present, he is a member of the Electronics Technology, Systems and Automation Engineering Department in the Industrial and Telecommunication Engineering School. He has participated, as leader of the Microelectronics Engineering Group at the University of Cantabria, in more than twenty EU and Spanish National Research Projects. His primary research interest is in the area of test and design for test, such as full scan, partial scan or self-test techniques in digital VLSI communication circuits. He is also interested in mixed-signal, analogue and digital test, using methods based on power supply current monitoring. Another research interest is the design of analogue and digital VLSI circuits for industrial applications. Prof. Bracho is a member of the Institute of Electrical and Electronic Engineers.