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Снижение шума транспортных машин глушителями

Снижение шума транспортных машин глушителями

Abstract

Для совершенствования важнейших параметров рабочих органов глушителей шума предложен методологический метод, основанный на использовании теории предпочтительных чисел. Разработаны конструкции перфорированных перегородок, в которых использованы закономерности новых основных рядов предпочтительных чисел. Предложена инновационная модель глушителя шума поршневых двигателей внутреннего сгорания с улучшенными гидравлическими и акустическими характеристиками на основе теории чисел. Теория предпочтительных чисел применима к любым техническим устройствам. To improve the most important parameters of the working bodies of noise mufflers, a methodological method based on the use of the theory of preferred numbers is proposed. The designs of perforated partitions have been developed, in which the laws of the new basic series of preferred numbers are used. An innovative model of a noise muffler for reciprocating internal combustion engines with improved hydraulic and acoustic characteristics based on the theory of numbers is proposed. The theory of preferred numbers applies to any technical device.

Country
Belarus
Keywords

теория предпочтительных чисел, noise silencer, двигатель внутреннего сгорания, innovative silencer model, internal combustion engine, theory rows of preferred numbers, инновационная модель глушителя шума, глушитель шума, отработавшие газы, exhaust gases

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green