Abstract. Mechanical alloying (MA) is a powder metallurgy processing technique that involves repeated cold welding, fracturing and rewelding of powder particles in a high-energy ball mill. Started in 1960 to produce oxide dispersion strengthened (ODS) nickel-based superalloys to obtain high strength both at room and elevated temperatures, this technique is now widely used to synthesize a variety of non-equilibrium alloys including solid solutions, intermetallics, and glassy alloys. Apart from the ODS alloys, the products of MA are now finding ever increasing and newer applications. The present article briefly summarizes the past achievements of MA followed by a discussion of the present activities. Three specific topics have been covered -nanocomposites, metallic glasses, and use of MA powder particles in metal combustion. The article concludes with an indication of the topics that need special attention in the near future.

The high temperature corrosion performance of the heat resistant, mechanically alloyed, oxide dispersion strengthened alloys, INCOLOY® alloy MA 956, INCONEL® alloy MA 754, INCONEL alloy MA 760 and INCONEL alloy MA 6000 is described in this paper. Oxidation and oxidation-sulfidation data for a range of temperatures and environmental conditions are presented, along with comparative data on five wrought alloys. Scale types are related to performance.

To consider tissue anisotropy in computational models of arterial wall, information on directions of collagen fibres and their dispersion in the individual layers of the wall is needed. Many papers introduce the assumption of two fibre families although its experimental substantiation is poor. In this paper we analyse data on direction distribution of collagen fibres published in several papers, in contrast to their authors, without any anticipatory assumptions. Histograms and their different mathematical representations are compared by means of coefficient of determination R 2 to obtain the best representation of the experimental data. The results show that in most of the analysed cases other distributions give better representation of the experimental data; specifically, the presented bimodal fit was surpassed with uni-, trior quadri-modal distributions or even with isotropic distribution with a large noise. This effect could be even enhanced when information criteria were applied. Finally, the best mathematical representations of the data (the best fits) are transformed into parameters used by anisotropic constitutive models in FEM analyses.

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