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The formation of zinc coatings in nanocrystallised zinc powders

Galin Rashit, Khina Boris, Shaburova Natalia, Wassilkowska Anna

Technical Transactions

2021

Vol. 118, iss. 1

art. no. e2021009

The kinetics of and mechanism for galvanising low-carbon steel (0.2% C) were examined in powder media which were pre-treated to obtain a fine nanostructured ZnO layer on the surface of zinc powder particles. The effective diffusion coefficient of Zn atoms through the ZnO shell was estimated to be in the order of 1·10ˉ¹º m²·sˉ¹. The contribution of the Zn-gas evaporation/condensation microprocesses, which could occur in relation to the above diffusion through a nanostructured surface layer, was evaluated with numerical calculations in the temperature range of 550–950 K and for an average particle size of ZnO up to 100 nm. Our results suggest that the outward diffusion of metallic zinc takes place from the core of powder microparticles across the nano-grain boundaries of their modified surface layer, and can be further intensified by the presence of other inter-phase defects, such as nano porosity.

Stal narzędziowa z kolorową powierzchnią

Betiuk M.

Obróbka Metalu

2012

nr 2

16-22

Targi techniczne są miejscem, gdzie jak w soczewce ogniskują współczesne kierunki rozwoju inżynierii materiałowej powierzchni. Odwiedzając stoiska producentów i dystrybutorów narzędzi, spoglądając na ich szklane witryny wystawiennicze, przeglądając materiały katalogowe i strony internetowe, dostrzegamy różne kolory na powierzchniach stalowych narzędzi do obróbek: skrawaniem, plastycznej, przetwórstwa tworzyw sztucznych oraz ciśnieniowego odlewania metali.

Application of the Strongin-Sergeyev global optimization method in the compliance minimization of latticed shells

Czarnecki S.

Computer Assisted Mechanics and Engineering Sciences

2009

Vol. 16, No. 3/4

291-307

The aim of the present paper is to revisit some known truss optimization problems by applying the genuine Strongin and Sergeyev's algorithm of the global search [8]. By employing the space-filling Hilbert-Peano-type curves, the wide class of non-convex and multidimensional constrained global optimization problems is reduced to one-dimensional ones. Then, the global minimum of the objective function in one-dimensional problem can be effectively found by means of Multivariate Index Method (MIM) that can be treated as a special version of one-dimensional Global Search Algorithm (GSA) over the set of open intervals adopted to constrained problems.