Address: 17 Naberezhnaya Severnoy Dviny, Arkhangelsk 163002 Russian Federation. Northern (Arctic) Federal University named after M.V.Lomonosov. Office 1425

Phone / Fax: (818-2) 21-61-18
E-mail: forest@narfu.ru
http://lesnoizhurnal.ru/en/

RussianEnglish



Archive

Fuel Consumption of a Straddle Forestry Tractor in Consideration of Stochastic Factors

Версия для печати
Creative Commons License
These works are licensed under a Creative Commons Attribution 4.0 International License.

D.G. Myasishchev, D.N. Shostenko, A.V. Serebrennikov

Complete text of the article:

Download article (pdf, 1.2MB )

UDС

630*375.4

DOI:

10.37482/0536-1036-2020-5-145-154

Abstract

Currently, there is a tendency for creation a cross-functional tractor line of drawbar category. Everything is very practical and consistent from the perspective of the producer of such tractors. The number of modular units and assemblies is minimized, and the list of components is reduced. However, all this is acceptable up to a certain limit, which is outlined by the technological trail of the tractor being created and the specifics of its application. The article deals with a straddle forestry tractor of drawbar category of 6 kN. It is assumed that the tractor has a variety of trains of working bodies and machines, as well as a cargo bed on the pin-joint section. The cargo mode of the unitʼs movement is examined by a random microprofile under the wheels in tracks. The problem of statistical dynamics is solved. As an output process, a Laplace image is drawn for the hourly fuel consumption of the tractor engine. As an input process, a Laplace image is drawn for an external random action from the microprofile along the tracks. Herewith, the transfer function of the hourly fuel consumption is determined, which allows to estimate the spectral density of the tractor’s hourly consumption and the dispersion of the hourly consumption for the given microprofile of the tracks. In addition, using the correlation theory of random processes, one can estimate the mathematical expectation of the hourly fuel consumption during transport operations. In the final analysis, it is possible to solve the optimization problem. Namely, the choice of such undercarriage tires, which provide a minimum dispersion and mathematical expectation of the hourly fuel consumption of the transport unit. The situational combination comes down to the fact that an increase in the tire radius on one side increases the height of the center of gravity of the unit, which increases the hourly fuel consumption. On the other hand, an increase in the radius of the tire contributes to a reduction in the coefficient of rolling resistance of a wheel, and hence a decrease in fuel consumption. Thus, there is a problem of discrete optimization, namely, the choice of a tire design, in which the energy costs of the transport unit are minimized.

Authors

D.G. Myasishchev, Doctor of Engineering, Prof.
D.N. Shostenko, Candidate of Engineering, Assoc. Prof. ResearcherID: AAY-1917-2020,
ORCID: https://orcid.org/0000-0002-2935-860X

Affiliation

Northern (Arctic) Federal University named after M.V. Lomonosov, Naberezhnaya Severnoy Dviny, 17, Arkhangelsk, 163002, Russian Federation; e-mail: d.myasishchev@narfu.rud.shostenko@narfu.ru
serebrennikov.a@edu.narfu.ru

Keywords

straddle tractor, microprofile, fuel consumption, transfer function, optimization

For citation

Myasishchev D.G., Shostenko D.N., Serebrennikov A.V. Fuel Consumption of a Straddle Forestry Tractor in Consideration of Stochastic Factors. Lesnoy Zhurnal [Russian Forestry Journal], 2020, no. 5, pp. 145–154. DOI: 10.37482/0536-1036-2020-5-145-154

References

1. Anisimov G.M., Zhendayev S.G., Zhukov A.V. Forest Machines (Tractors, Cars, Diesel Locomotives). Ed. by G.M. Anisimov. Moscow, Lesnaya promyshlennost’ Publ., 1989. 512 p.
2. Antipin V.P., Varava V.I., Karshev G.V. Energy Consumption of the K-744R Tractor in Transport Mode. Traktory i sel’khozmashiny, 2009, no. 6, pp. 15–18.
3. Antipin V.P., Vlasov E.N., Desyatov A.N. Hourly Fuel Consumption of a Skidding Tractor under Operation. Improving the Potential Properties of Machines and Mechanisms of the Forestry Complex: Interuniversity Collection of Academic Papers. Saint Petersburg, GLTA Publ., 2001, pp. 13–19.
4. Antipin V.P., Durmanov M.Ya., Karshev G.V. Productivity, Energy Consumption and Resource of a Machine-Tractor Unit. Saint Petersburg, Polytech Publ., 2017. 484 p.
5. Goberman V.A. Goberman L.A. Research Technology – Methods, Models and Assessment. Moscow, MGUL Publ., 2002. 390 p.
6. Kopotilov V.I. Analytical Methods for Determining the Operational Fuel Consumption and Assessing the Fuel Efficiency of Cars: Monograph. Tyumen, Vector Book Publ., 2008. 344 p.
7. Kutkov G.M. Tractors and Cars: Theory and Technological Properties. Moscow, INFRA-M Publ., 2014. 506 p.
8. Lurie A.B. Statistical Dynamics of Agricultural Machines. Moscow, Kolos Publ., 1981. 382 p.
9. Mukhamadjarov F.F., Ostal’tsev V.P. Deformation of Soil and Energy-Costs at Movement of Tractors. Agrarnaya nauka Evro-Severo-Vostoka [Agricultural Science EuroNorth-East], 2010, no. 2(17), pp. 72–75.
10. Myasishchev D.G. Statistical Dynamics of Machines and Equipment of the Forestry Complex (in Examples). Arkhangelsk, NArFU Publ., 2015. 126 p. Режим доступа: http://narfu.ru/university/library/books/1834.pdf (дата обращения: 13.12.19).
11. Myasishchev D.G. Synthesis of Structure of Forest Mechanized Complex Based on a Compact Mobile Power Module. Lesotekhnicheskiy zhurnal [Forestry Engineering Journal], 2017, vol. 7, no. 1(25), pp. 196–204. DOI: 12737/25211
12. Myasishchev D.G., Prokopjev A.F. Substantiation of Parameters and Components Choice of Miniforwarder Chassis for Young Growth Tending. Lesnoy Zhurnal [Russian Forestry Journal], 2009, no. 3, pp. 53–56. URL: http://lesnoizhurnal.ru/upload/iblock/e83/e8352f58a992d1e40074132131acec00.pdf
13. Myasishchev D.G., Putintsev S.A. Fuel Optimization of a Rotary Chopper for Plant Residues. Lesnoy Zhurnal [Russian Forestry Journal], 2017, no. 1, pp. 129–140. DOI: 10.17238/issn0536-1036.2017.1.129, URL: http://lesnoizhurnal.ru/upload/iblock/1ad/myasishchev.pdf
14. Khabardin S.V., Mikhailov N.A. Evaluation Methods of Fuel Consumption on Drawbar Tests of Tractors and Its Analysis. Vestnik IrGSHA, 2015, no. 68, pp. 114–122.
15. Shuplyakov S.M. Oscillations and Loading of Vehicle Transmission. Moscow, Transport Publ., 1974. 328 p.
16. Čiplienė A., Gurevičius P., Janulevičius A., Damanauskas V. Experimental Validation of Tyre Inflation Pressure Model to Reduce Fuel Consumption during Soil Tillage. Biosystems Engineering, 2019, vol. 186, pp. 45–59. DOI: 10.1016/j.biosystemseng.2019.06.023
17. Grisso R.D., Kocher M.F., Vaughan D.H. Predicting Tractor Fuel Consumption. Applied Engineering in Agriculture, 2004, vol. 20(5), pp. 553–561. DOI: 10.13031/2013.17455
18. Janulevičius A., Šarauskis E., Čiplienė A., Juostas A. Estimation of Farm Tractor Performance as a Function of Time Efficiency during Ploughing in Fields of Different Sizes. Biosystems Engineering, 2019, vol. 179, pp. 80–93. DOI: 10.1016/j.biosystemseng.2019.01.004
19. Mileusnić Z.I., Petrović D.V., Đević M.S. Comparison of Tillage Systems according to Fuel Consumption. Energy, 2010, vol. 35, iss. 1, pp. 221–228. DOI: 10.1016/j.energy.2009.09.012
20. Osinenko P., Streif S. Optimal Traction Control for Heavy-Duty Vehicles. Control Engineering Practice, 2017, vol. 69, pp. 99–111. DOI: 10.1016/j.conengprac.2017.09.010
21. Riley K.F., Hobson M.P., Bence S.J. Mathematical Methods for Physics and Engineering. Cambridge, Cambridge University Press, 2006. 1304 p.
22. Vilde A., Pirs E. Simulation of the Impact of the Energetic Characters of Tractors and Machines on the Working Efficiency of the Soil Tillage Units. Proceedings of the 7th International Workshop on Modeling & Applied Simulation, Campora S. Giovanni, Italy, September 17–19, 2008. Rende, Italy, DIPTEM, 2008, pp. 314–320.

Received on December 13, 2019


Fuel Consumption of a Straddle Forestry Tractor in Consideration of Stochastic Factors

 

Make a Submission


ADP_cert_2024.png

Lesnoy Zhurnal (Russian Forestry Journal) was awarded the "Seal of Recognition for Active Data Provider of the Year 2024"

INDEXED IN: 


DOAJ_logo-colour.png

logotype.png

Логотип.png