Abstract
In the course of operation of transport and technological machines (tractors, cars, grain and forage harvesters and other complex agricultural machinery), the joints in the nodes, aggregates, and mechanisms are worn out. The amount of wear depends on the service life and operating conditions. (Research purpose) The research purpose is in searching for the most acceptable method for practical application of determining the optimal frequency of technical service to ensure high reliability and efficiency through reducing the intensity of wear of the interfaces of components, aggregates, mechanisms of the transport and technological machine; proposing coefficients for adjusting the frequency standards when planning and organizing maintenance and repair of agricultural machinery. (Materials and methods) The condition of the crankshafts of internal combustion engines at the operating time close to carrying out major repairs, 5000 hours (maintenance - 3) for tractors, 192,000 km and 150,000 km (routine repairs) for vehicles like KAMAZ and GAZ-3309. Authors applied the methods used to determine the optimal frequency of maintenance and repair, which characterize the quality of technical impacts. (Results and discussion) The article presents calculations performed to determine the maximum performance of the unit as part of a tractor with different maintenance intervals and an agricultural machine based on the use of a statistical method (according to the probability of failure). Authors found that the most acceptable method for determining the optimal frequency of technical impacts is the "unit cost" method. The article proposes coefficients for adjusting the frequency of technical impacts. (Conclusions) Determining the optimal frequency of technical impacts will minimize operating costs and prevent possible failures. To do this, it is necessary to choose an acceptable method that determines the optimal frequency and ensures minimal wear of the interfaces in the nodes, aggregates, mechanisms of transport and technological machines.
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