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First name, Middle name, Last name, Scientific degree, Scientific rank, Current position. Full and brief name of the organization, The organization address.Sakhapov R.L. – doctor of technical sciences, professor E-mail: This e-mail address is being protected from spambots. You need JavaScript enabled to view it Makhmutov M.M. – candidate of technical sciences, associate professor E-mail: This e-mail address is being protected from spambots. You need JavaScript enabled to view it Kazan State University of Architecture and Engineering The organization address: 420043, Russia, Kazan, Zelenaya st., 1
Title of the articleThe influence of the studied factors on the capacity of milling
Abstract.In this article was presented the factors affecting the performance of the snow machines. The resulting model, which reflects in coded form the influence of significant factors on the performance of the snow machines was built. Based on the experimental data were plotted according to the number of lanes, area of snow removal, the filling ratio of the working body and speed performance of the machine. Testing using the Fisher test and student t-test (Ft=2,30) hypotheses (Fp=2,27) the adequacy of the model (1) (tabl. 4) showed the suitability of its use as a forecasting performance of the snow machines with confidence probability of 95 %.
Keywords.performance, area cleaning, filling ratio, speed, student's criterion, Fisher's criterion.
For citations:Sakhapov R.L., Makhmutov M.M. The influence of the studied factors on the capacity of milling // Izvestiya KGASU. 2015. №4(34) P.455-460.


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