Name
Tarasenko Boris Fedorovich
Scholastic degree
•
Academic rank
associated professor
Honorary rank
—
Organization, job position
Kuban State Agrarian University
Web site url
—
Articles count: 30
In the article, we present: the analysis of grain combines, a perfect grain combine with new cutter bar of header and new rotation separator with a gentle principle of threshing, the experiments for definition of the optimal parameters of the new separator
In the article we have submitted physical fundamentals of processing machinery and equipment repair and recovery formulations; above all, the physical picture of the process of friction on the example of a pair of steel – iron is given
The article presents the new direction for union technical characteristics with productivity, and formal models for every method of production of grain and spike cultures and for general technology
The analysis of the existing mechanical ways to determine the traction resistance of agricultural machines and development of new constructions of plants for engineering assessment of soil-cultivating working bodies has been presented in the article
The article has a presentation of development of a technological complex, with development of initial requirements of utilization of not grain part of a crop of rice with seal to the soil
The article presents the analysis of mobile crushers, improved chopper equipped with spreader disk with blades positioned on the frame, as well as experiments to optimize the parameters of the vortex sprayer
The reliability of work of the technical systems significantly influences the technological losses of manufacture process. During the counting the availability ratio of the technical system it is recommended to take into the consideration implicit as well as evident breakdowns of all separate components of the whole object. There is a formula for counting technological losses depending on the availability ratio of technical object. Similar formulas for counting losses proceeding of atmosphere and water resources pollution, pollution of soils with hard matters are obtained. Introduced identities bring together reliability of the technical systems and separate components of ecological losses
The choice of the most optimal composition of aggregates for tillage for work in a certain economy is very difficult from many determined and casual factors. In connection with what, it is suggested to conduct researches with the use of quantificational and quantifier algebra logic. Also we need minimum influences on ecology, being characterized as a predicate of "minimum of expenses on indemnification of erosive losses of soil". For the agricultural technique of Russia, countries of the CIS and distant foreignness with the well-known norms of making (by the productivity) and expense of fuel imitation modeling is applied, on the method of Monte Carlo (Monte - Carlo Simulation), allowing to build a mathematical model for prognostication of necessary amount of aggregates at different normative agroterms with corresponding damages
The main indicators of efficiency of a cultivation machine are the following: productiveness and fuel consumption, which depend on complexity of work, operating depth and structure of the machine (type of the tractor and plough). The optimal structure of cultivation aggregate for the needs of each exact farm is complicated to do due to different determined and stochastic factors. In this case, Monte Carlo imitation modeling is proposed to use. As a result of models’ analysis, it is defined that all aggregates could be divided onto 4 groups of efficiency. Curves demonstrating dependence of fuel costs, compensation of losses caused by breakdown of agricultural terms and soil compaction caused by quantity of aggregates are built. After integration of the whole amount of aggregates into a common traditional technology of cultivation and after selection of its characteristics (quantity of aggregates, general fuel costs and losses costs, including fuel costs) it was proposed to split it onto 3 category modes: hard (according to technological mode – 2 or 5 shifts), normal (4-10 shifts), mild (6-15 shifts). The obtained models can be successfully applied in software of on-board computers in tractors and PCs of the engineers as well. Dynamical models for other technological processes in plant breeding could be obtained in the same way. All developed models allow us to make one more step towards precision farming and reduce costs for manufacture of end products
The article reveals the main empirical factors that
increase the efficiency of technological systems of
grain harvesting. The work shows interrelation and
subordination of empirical factors in the practice of
operational reliability of grain harvesters, which
underlies scientific research. We have defined the basic
(key empirical factors) that allowed to develop a
conceptual model (paradigm) research. The article
reveals a technique, establishing the rules of
application of the method of expert assessments to
identify organizational and technical factors that have
the most significant impact on improving the reliability
of grain harvesters