SU1618792A1 - Method of assessing cotton fibre quality - Google Patents

Abstract

The invention relates to cotton growing, to the primary processing of raw cotton and can be used in the textile industry in assessing the quality of fiber in new breeding varieties of cotton. The purpose of the invention is to increase the objectivity of the results of this assessment. Along with a mixed sample of fiber taken in a known manner, an additional sample of volatile particles is prepared and three negative groups of fibers are separated, separated from the micropolar, lateral, and chalasal segments of the seed. The values of fiber quality indicators — staple mass range, relative breaking load, linear density, and short fiber content are determined both for the mixed sample and for each group of the additional sample. The difference in the values of the indicators of the same name is scored according to the evaluation table, then the scoring estimates of the indicators of the additional sample are calculated according to the estimates of each fiber group and the total estimated score for all indicators. The quality of cotton fiber is assessed by the total estimated score: up to 3.5 points - extremely unsatisfactory - 3.6-4.0 points - satisfactory; 4.1-4.5 points - a good and.4.6-5.0 higher. In this way . fiber heterogeneity according to technological indicators is taken into account. 2 tab. with . 8 (L 00 j WITH ro

Description

The invention relates to cotton growing, primary processing of raw cotton and the textile industry in assessing the quality of fiber of new breeding varieties of cotton.

The purpose of the invention is to increase the objectivity of the evaluation results.

The method is as follows. in a way.

In the selected cotton fiber sample, indicators of the staple mass base, relative breaking load, linear density and content of short fibers are determined. Then, an additional sampling of the volatiles is taken from the same batch and three groups of fibers are formed, separated from the micropolar, lateral, and refrigerated sections of the seed. The same indicators are determined for each of the fiber groups. By comparing the values of the indicators of the same name

Mixed and additional fiber samples determine the difference between them and use the table 1 to estimate the deviation in points, after which the average values of the scores are calculated for each indicator

 Sh.r.i.k

 CM + CS + CK

Ssch - an indicator of shtapelny mass sredlina S. - an indicator of relative

breaking load} C y .- indicator linear raft. ;; C c - the indicator of the content of short;

kich fibers {C - a score in fiber with

micropyl} 20 С е - assessment in points of fiber

from the side; C y - scoring fiber

with halazah.

After evaluating each indicator in 25 separate results, the total estimated score is calculated - the average of all indicators.

0

five

0

five

they also recruited from the trained flyers, but from the entire perimeter. Thus, four fiber weights of 50 g each were prepared. From these weights, the following parameters were determined: staple mass-length, relative breaking load, linear density, and short fiber content. The data obtained are given in table 2.

According to the data obtained, the percentage deviation of indicators of individual areas from indicators of the total order is estimated. In terms of the percentage of deviations, grades are awarded for each site according to the grading scale given in table 1. Then, the total arithmetic average of the three plots is calculated for each indicator. Staple mass length, Micropile 4 score Side 4 Chalaz 4. Conclusion t total arithmetic average.

 sh

Ј "iЈli x.

4 points

with . , n points

With a C of 3.5, the fiber is considered extremely unsatisfactory in terms of uniformity; at C 3.6-4.0 points, the fiber rating is satisfactory J At C 4.1-4.5 points, the rating is good; at С 4.6-5.0 points, the evaluation of the highest point of fiber technological effectiveness.

Example. The test was carried out on raw cotton I Tip omer orta breeding varieties 108-F. A combined raw cotton sample of about 3 kg was taken. Cotton batches were taken from the prepared sample, the fiber cover of the volts was laid in a single plane along the longitudinal axis of the seeds with a Special Comb. Simultaneously with the laying of the filament, it was carefully smoothed out, arranged for their strict distribution to the corresponding areas - chalaz, side, micropils.

Spinning the fibers with each prepared baton, manually spinning the fibers and distributing them separately according to the corresponding weights — from the chalazal, lateral, and micropropylene seed sections. The so-called common fiber weighed

Relative discontinuous load, score

Micropill 5 Side 5 Chalaz 5 Conclusion t total average score

sg, 9i ± a ± d. , 5t | i3 „5„ allov.

Linear density, score:

Micropile 3 Side - 5 Chalaz 4 Conclusion t total average score

CN, Sy4SR 3.5 ± 4 w 4 point

The content of the short fiber, point Micropile3 Side 4 Chalaz 4 Derive the total average score

with" . CM ± CЈiCv 3 points;

After evaluating each indicator separately, an estimated score of 51618792 is derived.

arithmetic on all shows

p v and t n t p

g - 9sh1 19m + 5 L -4

4 + 5 + 4 + 3 7

. 4, 2 points

According to the data obtained, when assessing cotton fiber according to the proposed method, the breeding variety 103-F C 4.2. points, therefore, the fiber of this class in terms of the natural unevenness of technological indicators can be assessed well,

According to the proposed method, tests were carried out on 21 breeding varieties on raw cotton I of the industry variety. According to the research results, it was established that the fluctuation of the main quality indicators of cotton fiber is determined by the individual characteristics of cotton selection varieties. At the same time, the following pattern is found: the strongest, but the shortest fiber with a small content of short fibers, on the halaz - the longest and thinnest fiber, the fiber from the lateral surface of the Meni occupies an intermediate position in relation to myrshlya and halaze.

The use of the proposed method for determining the natural unevenness allows preventing the spread of breeding cotton varieties with low indices

natural unevenness of cotton fiber, to conduct a more careful selection and culling in the development of new varieties on the basis of uneven technological is still eter ry, which will significantly improve the quality of raw materials entering the industry.

Claims (1)

IQ claims A method for assessing the quality of cotton fiber, which consists in determining the indicators of a staple mass-15 dDyny5 relative breaking load, linear density and content of short fibers in the selected fiber sample and attributing it to a certain quality group, which is , in order to increase the objectivity of the results, a sample of volatile particles is additionally taken, which form three groups of fibers separated from the micropyl, lateral and halazal sections of the seed, and the same indicators are determined. For each of these fiber groups, the values of the mixed sample values are compared with each group, then estimate the values of the deviations in points from the table and calculate the average values of the scores for each indicator, calculate the fiber homogeneity index as the arithmetic average scores for each indicator, and the quality of the fiber for assigning it to the quality group is evaluated by the value of this indicator. Table 1 Less than 10. About 10.1-12.0 12.1-15.0 More than 15.1 five four 3 2 table 2