Mathematical modeling of the impact of external influences on the temperature behavior of the internal combustion engine oils and transmission components

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Summary. For the description of the processes occurring in internal combustion engine and elements of transmission, various mathematical models are used. In work the section of mathematical statistics - experiment planning is applied. For an estimation of influence of external influences on temperature indicators of oils ICE and transmission elements full factorial experiment which is directed on definition of temperature of oil ICE, a transmission and the main transfers has been realized. Modeling of influence of external influences on temperature indicators of oils ICE and transmission elements consisted in the following: the conceptual model was under construction; its formalization and research of modeled process was spent; necessary approximations were defined; the generalised scheme of process was under construction; under this generalized scheme the algorithm was created and the program complex was developed; calculations on the computer were spent; mathematical and graphic dependences of external influences on temperature indicators of oils ICE and transmission elements were defined; practical recommendations about heating process with reference to operational conditions of SNO OP were developed. Object of research is the air temperature, an operating time of system of heating and capacity of the thermal unit, influencing temperature of oils ICE, transmissions, the main transfers the MAT. The problem is reduced to definition of such capacity of the thermal unit at which the maximum value of temperature of oil for the minimum time is reached. Full factorial experiment FFE allowing is planned to define interaction of two factors which is shown at a simultaneous variation of these factors at action of each of them on an exit depending on level of their finding.

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Mathematical modeling, temperature indicators, ice, transmission elements

Короткий адрес: https://sciup.org/140229574

IDR: 140229574   |   DOI: 10.20914/2310-1202-2016-3-135-143

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