| Issue |
E3S Web Conf.
Volume 431, 2023
XI International Scientific and Practical Conference Innovative Technologies in Environmental Science and Education (ITSE-2023)
|
|
|---|---|---|
| Article Number | 01038 | |
| Number of page(s) | 8 | |
| Section | Agricultural Innovation Systems | |
| DOI | https://doi.org/10.1051/e3sconf/202343101038 | |
| Published online | 13 October 2023 | |
Study of the intake system of automotive tractor internal combustion engines with variable parameters
1 Kazan National Research Technical University named after A. N. Tupolev, Kazan, Russia
2 Kazan State Agricultural University, Kazan, Russia
* Corresponding author: khaliullin_kai_adis@mail.ru
Increasing the effective performance of automotive tractor engines is primarily associated with the intensification of the working process parameters. One of the options for solving this problem is to improve the cylinder filling parameters, which will allow to increase the engine power and torque. In addition to mechanical and gas turbine supercharging, the little-studied resonant supercharging of the engine is of interest. In this case, by selecting the parameters of the inlet path of the engine, it is possible to achieve a significant increase in pressure in the zone of the inlet valve opening without expenditure of useful energy, using only the kinetic energy of the gases of the inlet path. The paper proposes a method to calculate the geometric parameters of the intake tract using a one-dimensional model of gas flow. The results obtained from the numerical investigations give good convergence. The article can be useful for masters, graduate students, and engineering and technical workers involved in the design of internal combustion engines.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.