Magnesium secondary alloys: Alloy design for magnesium alloys with improved tolerance limits against impurities

The development of secondary magnesium alloys requires a completely different concept compared with standard alloys which obtain their corrosion resistance by reducing the levels of impurities below certain alloy and process depending limits. The present approach suitable for Mg-Al based cast and wrought alloys uses a new concept replacing the β-phase by τ-phase, which is able to incorporate more impurities while being electro-chemically less detrimental to the matrix. The overall experimental effort correlating composition, microstructure and corrosion resistance was reduced by using thermodynamic calculations to optimise the alloy composition. The outcome is a new, more impurity tolerant alloy class with a composition between the standard AZ and ZC systems having sufficient ductility and corrosion properties comparable to the high purity standard alloys.     

Microstructure alterations in the base material, heat affected zone and weld metal of a 440-VVER-reactor pressure vessel caused by high fluence irradiation during long term operation; material: 15 Ch2MFA ≈0.15 C–2.5 Cr–0.7 Mo–0.3 V

Within the scope of the EC research project Tacis ’91 (‘RPV-Embrittlement’), trepans were taken from the highly irradiated circumferential RPV-weld of the Novovoronesh power plant unit-2 of the type VVER-440/230. The cumulated fast fluence level in this position reaches up to 6.5×10¹⁹/cm² (E>0.5 MeV). In a joint research work, the mechanical properties, the chemical composition, and the microstructure of the base material, the heat affected zone (HAZ), and the weld metal have been investigated in order to study the influence of irradiation, and of post irradiation heat treatment (475°C, 560°C) on the properties. The examination of the microstructure performed by analytical transmission electron microscopy (200 kV) shows the existence of dislocation loops (‘black dots’), irradiation induced precipitates, and segregation of copper in the carbides. These changes in microstructure, which are due to service affection (neutron irradiation, temperature) have occurred more pronounced in the weld metal and the HAZ than in the base material.     

Using machine learning to predict the density profiles of surface-densified wood based on cross-sectional images

Over the past decades, the surface densification of solid wood has received increased attention. However, the inhomogeneous density distribution in the densification direction might be a challenge with regard to process control within a large-scale production process, as the density profile governs many relevant properties of surface-densified wood. Currently, the measurement of density profiles relies on sensitive X-ray equipment and is difficult to integrate into an on-line process. Hence, in this study, three machine learning approaches were applied to predict the density profiles of surface-densified Scots pine specimens, only based on visual image acquisition—a technology that is ubiquitous in the wood industry: partial least squares (PLS) regression, artificial neural networks (ANN), and convolutional neural networks (CNN). The machine learning models were trained on images of the specimen cross-sections as input data, and X-ray density profiles as output data. There were 1850 observations, and the model performance was evaluated on external test sets. The models had mean absolute percentage errors of the predicted values between 9 and 18%; the CNN achieving the smallest error (9.24%). A deeper analysis of the data revealed that the ANN approach performed inconsistently between observations. PLS regression predicted the main density peak to a high accuracy but could not model other features. Only the CNN could reliably model the main density peak, wide growth rings, and the important region between the specimen surface and the main density peak. The ability of the models to generalise to untypical new data was improved by augmentation of the training data.

     

A process and load adjusted coating system for metallic inserts in hybrid composites

According to the concept of an intrinsic hybrid composite, adhesive bonding is designed for generating the connection between the applied fiber reinforced polymer and a metallic insert. To induce adhesive bonding, a metallic insert, made of aluminum, is coated. This contribution focusses on the development of a suitable coating system. To this end, the coating system must meet certain requirements. On one hand, demands on the coating like ductility can be deduced from analyzing the manufacturing process. On the other hand, requirements like corrosion protection as well as high static and dynamic strength arise from specific applications under considerations. The utilized coating system is based on organically modified silicate layers (Ormosil) applied using a sol–gel process. To prove that this coating system fulfils the requirements, the corrosion protection is analysed by impedance spectroscopy. Furthermore, different mechanical experimental investigations are performed to verify the ductility of the coating as well as the strength of the resulting interface. Hence, it is shown that the considered coating system can be applied for the analysed intrinsic hybrid composite manufactured in series.     

Effect of beta-carboline-3-carboxoylate-t-butyl ester on ventilatory control

beta-carboline-3-carboxylate-t-butyl ester (beta CCT) is the most selective antagonist for the alpha 1 beta 2 gamma 2 benzodiazepine (BZ) receptor subtype which blocks anticonvulsant and antipunishment (anxiolytic) but not sedative and myorelaxant effects of diazepam. We sought to determine whether the alpha 1 beta 2 gamma 2 BZ receptor subtype modulates ventilation and whether beta CCT antagonizes respiratory depressant effects of BZ's. Room air (RA) ventilation and the ventilatory response to 6% & 12% CO2 were non-invasively assessed by barometric plethysmography in 30 gm mice, n = 11. Plethysmograph signal amplitude (AMP), respiratory rate (RR) and minute ventilatory effort (MVE = AMP*RR), were measured. Runs were performed pre-drug & after IP injection of saline, vehicle for beta CCT, beta CCT (60mg/kg), midazolam (10mg/kg), and midazolam followed by beta CCT. Compared with pre-drug value, midazolam depressed MVE during RA and CO2 stimulation (% of pre-drug value: RA:57.7 +/- 17.4%, 6% CO2:53.73 +/- 14.3%, 12% CO2:69.1 +/- 26.1%, p < .0001, ANOVA). Subsequent beta CCT partially reversed this depression during RA conditions (72.8 +/- 25.7% of pre-drug value, p < .03 compared with midazolam) and 6% CO2 stimulation (67.1 +/- 10.7% of pre-drug value, p < .006 compared with midazolam) but not with 12% CO2. Thus, the alpha 1 beta 2 gamma 2 BZ receptor subtype modulates ventilation and beta CCT partially antagonizes respiratory depressant effects of BZ's.     

Initial results in Prony analysis of power system response signals

Prony analysis extends Fourier analysis by directly estimating the frequency, damping, strength, and relative phase of modal components present in a given signal. The ability to extract such information from transient stability program simulations and from large-scale system tests of disturbances would be quite valuable to power system engineers. Early results of the application of this method to stability program output are reported. Also included are benchmarks against known models and a brief mathematical summary     

Diagnostic and treatment implications of nasal obstruction in snoring and obstructive sleep apnea

LEARNING OBJECTIVES: The purpose of this review is to highlight fundamental aspects of obstructive sleep apnea (OSA), and to present an overview of the medical literature that pertains to the clinical interplay between various allergy-related disorders, nasal patency, and OSA. This should enable the reader to play a more proactive role in the diagnosis, management, and prevention of OSA. DATA SOURCES: Relevant reviews, texts, and articles. The MEDLINE database was used to find related literature. CONCLUSIONS: In predisposed individuals, OSA, sleep fragmentation, and the sequelae of disturbed sleep often result from nasal obstruction. Since breathing through the nose appears to be the preferred route during sleep, nasal obstruction frequently leads to nocturnal mouth breathing, snoring, and ultimately to OSA. Allergists can thus play a vital role in assessing sleep problems in their patients with allergic rhinitis and other upper respiratory disorders, in treating these problems more aggressively, and in some instances, in preventing them.