Welding is a complex technological process in which local heating takes place up to the melting point of the connecting and the additional material. Phase and crystallization processes are a strong non-linear function of the cooling rate. This non-linear function multiplies the complexity of the numerical simulation and optimization of the welding process. Lately, optimization with genetic algorithm has become the trend to optimize systems that behave in a non-linear manner and contain a number of local extremes. Genetic algorithm is therefore a method by which we seek an absolute extreme. It is a method which seeks a solution to near absolute extreme. In this paper the use of the genetic algorithm for welding process optimization is described.

Friction Stir Welding (FSW) is one of the most effective solid state joining processes and has numerous potential applications in many industries. The simulation process can provide the evolution of physicals quantities such as temperature, metallurgical phase proportions, stress and strain which can be easily measured during welding. The numerical modelling requires the modelling of the complex interaction between thermal, metallurgical and mechanical phenomena. The aim of this paper is to describe the thermal-fluid simulation of FSW using the finite element method. In the theoretical part of paper heating is provided by the material flow and contact condition between the tool and the welded material. Thermal-mechanical results from the numerical simulation using SYSWELD are also presented for aluminium alloy.

Friction Stir Welding (FSW) is one of the most effective solid state joining processes and it has numerous potential applications in many industries. The simulation process can provide the evolution of physical quantities such as temperature, metallurgical phase proportions, stress and strain which can be easily measured during welding. The numerical modelling requires the modelling of a complex interaction between thermal, metallurgical and mechanical phenomena. The aim of this paper is to describe the thermal-fluid simulation of FSW using the finite element method. In the theoretical part of the paper heating is provided by the material flow and contact condition between the tool and the welded material. The thermal-fluid results from the numerical simulation for aluminium alloy using SYSWELD are also presented in this paper.

The article is devoted to bearing analysis, which has a specific shape. The outer ring is the body directly and the inner ring is the case. To determine optimal radial clearance or overlap are used the thermal / structural analysis. The article is logically divided into two parts. In the first analysis, was monitored the impact of the press-fit of the case into the body. In the second analysis, there are presented attained results in graphical outputs of displacements in the orbits at different operating temperatures. At the end of the article were evaluated and researched individual effects on bearing deformation.

Friction Stir Welding (FSW) is one of the most effective solid state joining processes and has numerous potential applications in many industries. The aim of this paper is to describe the thermal-fluid and mechanical simulation of FSW using the finite element method in program SYSWELD. The simulation of FSW process requires the modelling of the complex interaction between thermal, metallurgical and mechanical phenomena. Thermal-mechanical results from the numerical simulation using SYSWELD are here presented for aluminium alloy.