Insignificant error in the moment of manufacturing the mechanism can influence significantly on its’ work. Research of influence of manufacturing error with manufactured mechanism usually is irrational, that’s why necessity of evaluation at the stage of design occurs. Methods of evaluation of this influence are investigated in this paper. The research is implemented by developed algorithm, which also was realized in MATLAB and Python as well. Due this fact process of math simulation doesn’t occupy a lot of time and doesn’t need large calculating abilities. We research same data by independent ways by using 2 different programs and we compare results in order to check and improve model. Also, it’s interesting that technology of computer vision was applied in this work. So, presented paper will be interesting for everybody who practice design of cam mechanisms or research them.

Using of renewable energy sources, instead of traditional oil, gas and coal, is the one of the ways by which it’s possible to hold global warming mechanisms. One of these sources is the wind energy and the device-transformer for it is the wind generator. This paper deals with the problem of the optimal wind generator blade design which allows getting the device efficiency maximum. The alternative wind generators realisations and their advantages are showed in the work. The numerical methods for fluid dynamic equations solving were applied for the optimal profile definition. The advantages of this way were showed, also the model, which was the best fitted for the concerned conditions, was chosen. Modelling was realized in ANSYS Fluent. The results were compared with the real wind generations data.

В науке и технике вопрос определения погрешности измерения остается актуальным и в настоящее время. Известные эмпирические зависимости не дают четкого представления о характере изменения погрешности в зависимости от размера исследуемой величины. Настоящая статья посвящена установлению аналитической зависимости погрешности величины от ее размера.Nowadays the question of determining the dependency of the quantities’ deviation on the quantities’ magnitude is important for science and technology. Known empirical dependencies don’t give curtain understanding about this dependency. So in this paper the analytical dependency of the quantities’ deviation on the quantities’ magnitude is observed.

The use of wind power plants is closely related to the issue of improving their efficiency. Accordingly, there is a need to build a model of turbine operation that allows you to evaluate the output characteristics of the installation and the influence of various parameters on them. In this paper, the simulation was performed using computational fluid dynamics (CFD) methods using the ANSYS Fluent program. The behavior of aerodynamic flows near the blades is also analyzed. As a model for describing the air flow, the k-ε model was chosen, for which the corresponding boundary conditions were selected. Simulations were performed for different air flow rates. The power curve obtained from the results of the aerodynamic flow simulation is compared with the power curve obtained from experimental data. Based on the simulation results, it is possible to predict the turbine power, depending on its initial parameters.