Tin based alloys with addition of indium and copper are well discussed from the point of phase diagrams, but there are still properties which are not measured or calculated. Therefore, in this paper some calculations were performed in order to obtain the thermodynamic properties by prediction methods. The integral and partial molar excess Gibbs energies, as well as activities of tin in temperature range 873 - 1673 K were obtained for four sections In:Cu=1:1, 1:4, 4:1 and 9:1 in the Cu-In-Sn system.

Among ecological solders the SIAC (silver-indium-tin-copper) alloys seemed to be the promising because of their properties. In this paper the results of Ag-In-Sn-Cu electrical conductivity measurements are performed as well as polynomial regression of the same. These results are obtained for different temperature regimes and conditions.

Time series decomposition is significant for understanding the consumption, production, and pricing in the energy sector analysis. This paper presents the comparative analyses of three important decomposition techniques: the Empirical Mode Decomposition (EMD), Variational Mode Decomposition (VMD), and Seasonal-Trend decomposition using the Loess (STL). The methodology, advantages, limitations, and applications of these techniques are described to help users selecting the most appropriate method.

The shape memory alloys belong to a group of special alloys - smart metallic materials. The copper-based shape memory alloys have a potentially large application in many industrial and technology fields due to the cost-effective alloys regarding the Ti-Ni alloys, promising the shape memory properties and functional properties. This paper presents the results for the activity and coefficient activity values of components in the Cu-Al-Zn copper-based shape memory alloy, obtained by the differential thermal analysis at 1073 K temperature.

Design of experiments (DOE) is very meaningful and applied in various investigations from science to the industry in order to optimize the process itself. There are several such techniques and each of them has its own advantages, so it is very important to know the basics of DOE. Besides that, every problem, technology, product etc. is unique, so the knowledge about those is crucial as the first step. The most relevant fact is the dependence among variables-input factors and output responses as well as mutual connection between factors. In order to demonstrate the usability and adaptability of DOE for various purposes, some examples are given in this paper.