Change in Air Parameters in a Cotton Pneumatic Transport Pipe

Karimov, Nuriddin; Sarimsakov, Olimjon

doi:10.32743/unitech.2021.93.12.12777

Cited by 2 publications

(2 citation statements)

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“…According to the author of [20], the experimental soaring velocity of a stretched cotton lobule in a wind tunnel is ϑ d =4.69÷5.02 m/s. In the cotton ginning industry, the lag coefficient is experimentally determined; it equals the ratio of the cotton velocity to the air velocity [2]:…”

Section: Resultsmentioning

confidence: 99%

“…During the primary processing of raw cotton, multiple ginning is conducted due to the high content of fine trash. As a result, the number of short fibers increases, and thereby the strength of the yarn decreases [1][2][3][4][5][6][7][8][9][10]. Therefore, reducing the impurity amount in raw cotton (especially, fine trash) during machine harvesting is relevant.…”

Section: Introductionmentioning

confidence: 99%

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Numerical and experimental study of the raw cotton saturation with the pneumatic conveyor system of a cotton harvester

Matchanov,

Yuldashev,

Kuldoshev

et al. 2024

E3S Web Conf.

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The article presents a numerical study of the impurity content in raw cotton during machine harvesting, considering the features of the formation of fine trash. An analysis is given of the change in the content of fine trash particles depending on the overall impurity content, starting from the conveyor corridor of the working apparatus to the hopper of the cotton picker. A mathematical model of the process of bringing together fine trash particles with cotton lobules in a pneumatic conveyor system was developed. Numerical studies were conducted to determine the approach distance considering the influence of the parameters of the air-cotton mixture. An analysis of the results of numerical studies is presented. Recommendations are given on factors affecting the saturation of cotton lobules with fine trash particles during transportation in a pneumatic conveyor system. Theoretical studies were conducted based on classical methods for modeling processes in a pneumatic conveyor system using the MathCad 15 programming environment.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%