Slag of the production of aluminum alloys from secondary resources as a raw material for the refractory industry

Results of chemical, x-ray phase, and petrographic investigations of slag are presented. It is established that slag from the production of aluminum alloys from secondary raw materials can be classified as a high-alumina refractory material (85–95% Al₂O₃ + SiO₂, refractoriness 1670–1770°C). The refractory properties of the slag can be retained by magnetic separation. There is a practical possibility of using this slag in the production of refractories. Semidry pressing of a charge based on the slag can give a refractory of grade ShA in accordance with GOST 390-83.Translated from Ogneupory, No. 2, pp. 24 – 26, February, 1996.     

Laboratory Experiments on Electroosmotic Dewatering of Vegetable Sludge and Mine Tailings

Vegetable wastes in the food industry are costly lo handle because of their high moisture content. while mill plant tailings in the mining industry contain large quantities of ultralines which are difficult io dewater.This paper describes the results of small scale electmosmotic dewatering (EOD) and combined field dewatering (CFD) measurements with model vegetable sludges and mine tailings.     

Special features of manufacturing highly porous materials from silicon nitride,silicon oxynitride,and sialons

Results obtained in a study of factors that affect shaping and sintering of highly porous materials are presented. A technology providing highly porous silicon nitride materials that is based on shaping preliminarily fabricated pieces of thermoplastic slip makes it possible to use initial silicon powders of different dispersities. Highly porous materials can also be produced on the basis of sialons and exhibit a diminished thermal conductivity and a heat resistance at the level of similar silicon nitride materials.Translated from Ogneupory i Tekhnicheskaya Keramika, No. 11, pp. 8 – 13, November, 1996.     

The influence of phosphate on the properties of clay bricks

The fabrication, properties and composition of heated phosphate-bonded clay bricks are reported. The strength of phosphate-bonded clay bodies is shown to be related to the equilibrium pH of the clay mix. The highest strengths were obtained for mixes with equilibrium pH 7 fired at 500°C which gave a modulus of rupture 60% higher than the unmodified clay heated under similar conditions but at 800°C firing temperature. The phosphate-bonded products were also of low porosity and improved dimensional stability. An insight into the probable mechanism of strength development of the heated product has been obtained from XRD, SEM and DSC studies. The results show that the properties of the phosphate-bonded clay bodies are critically affected by new mineral phases resulting from the reactions of phosphates with clay which subsequently undergo physico-chemical changes above 550°C.     

Novel diterpenoid diacylglycerols from marine molluscs: potent morphogens and protein kinase C activators

Five novel 1,2-sn-diacylglycerols with diterpenoid acyl moieties in the sn-1 position were isolated and characterized, together with the corresponding 1,3-sn-diacylglycerols, from three species of dorid nudibranchs molluscs. Their potent activity as morphogens in vivo in the Hydra tentacle regeneration assay and their parallel activity as activators of rat brain protein kinase C (PKC) in vitro are reported here. Our findings promote the use of these compounds as useful molecular probes for both in vivo and in vitro studies on the participation of PKC in cell development.     

Performance model of interactive video-on-demand systems

An interactive video-on-demand (VoD) system allows users to access video services, such as movies, electronic encyclopedia, interactive games, and educational videos from video servers on a broadband network. This paper develops a performance evaluation tool for the system design. In particular, a user activity model is developed to describe the usage of system resources, i.e., network bandwidth and video server usage, by a user as it interacts with the service. In addition, we allow batching of user requests, and the effect of such batching is captured in a batching model. Our proposed queueing model integrates both the user activity and the batching model. This model can be used to determine the requirements of network bandwidth and video server and, hence, the trade-off in communication and storage costs for different system resource configurations     

Estimation of the through porosity of cloth made of chemical fibres in a blend with natural fibres and its correlation with air permeability

The accuracy and reliability of experimental data are determined by the choice of the method of determining the structural characteristics of materials to a significant degree. The data on the level of correlation and the type of functional dependence of the properties on the structure of materials obtained by correlation and regression analysis are a function of the reliability of the experimental data to a significant degree. Of the three methods of estimating the through porosity of materials examined here, the simplest and most widely used method of calculation provides the least reliable results. The most reliable data on through porosity can be obtained by the projection method of indirect estimation of the through porosity and it is recommended for practical research, especially when processing of materials with defined properties is the final goal.St. Petersburg State University of Design and Technology. Translated from Khimicheskie Volokna, No. 3, pp. 31–33, May–June, 1995.     

Batch-means control charts for autocorrelated data

Modern statistical process control must often cope with large quantities of highly autocorrelated data. Alwan and Radson (1992) proposed the monitoring of autocorrelated processes by plotting the averages of small batches of data separated by skipping observations. Using results for the AR(1) process, we show that generally better performance can be achieved with no skipping and much larger batch sizes. The resulting batch-means charts derive from methods used in simulation output analysis and can be implemented easily with common digital control systems.