COMPLEX ASSESSMENT AND CORRELATION COEFFICIENT CALCULATION OF THE QUALITY INDICATORS OF T-SHIRT FABRICS IN A MIXTURE OF FIBERS OF DIFFERENT COMPOSITION

ABSTRACT

In this article, threads are taken from a mixture of different fibers, namely 68,4% cotton+31,6% a mixture of lavsan fibers, 42% cotton+58% a mixture of lavsan fibers, 6% wool+17% lavsan+67% a mixture of cotton fibers, 100% viscose fiber and 8,5% wool+4% lavsan+87,5% a mixture of cotton fibers. In the laboratory of the Department of "Technology of textile fabrics" in the modern weaving workshop, shirt-top fabrics were obtained and their physico-mechanical properties were determined.

АННОТАЦИЯ

В данной статье нити были взяты из смеси различных волокон, т.е. 68,4% хлопка+31,6% лавсановых волокон, 42% хлопка+58% лавсановых волокон, 6% шерсти+17% лавсана+67% хлопковых волокон, 100% вискозного волокна и 8,5% шерсти+4% лавсана+87,5% хлопковых волокон, а ткани на основе платья были получены в современном ткацком цехе кафедры «технология текстильных тканей» и были определены их физико-механические свойства, а также проведена оценочная работа.

Keywords: experimental, organoleptic, expert, sociological, calculated, differential, Komplex and mixed, radius vectors surface density.

Ключевые слова: экспериментальный, органолептический, экспертный, социологический, расчетный, дифференциальный, комплексный и смешанный, поверхностная плотность радиус-векторов.

One of the main tasks facing textile enterprises in the conditions of a market economy based on free competition is the production of quality, competitive and in-demand textiles. In order for the produced tissues to be competitive and in demand, its quality indicators should be able to meet the requirements of the world market in relation to this product, that is, the demand for world standards. At the same time, the costs incurred for the production of products should be low, advanced techniques and technology were introduced in the Enterprise, high labor productivity was achieved. In solving these problems, it will be of great importance to increase the indicators of labor productivity in textile enterprises, reduce labor consumption, increase manual labor, full use of internal opportunities, the introduction of automatic control of technology through computer systems. New textile enterprises established in the years of independence and the advanced new technology being installed in the existing enterprises being re-equipped, along with a sharp increase in the efficiency of enterprises, are producing quality products. In order to produce quality products at all kinds of industrial enterprises of our country, as well as to increase its competitiveness in the world markets, it is necessary, first of all, to equip with the equipment of foreign countries, which are modern in place of the old equipment available at the enterprises, to comply with the requirements laid down in the period At the same time, it is the development and restoration of economic, technical, cultural relations between states, the harmonization of standards produced by international organizations. As a result of increasing the export potential of the products being produced, it leads to an improvement in the level of its production. From the quality of the product, one can estimate the technical improvement and development of the state. It is necessary that the properties of the tissues produced meet the requirements of consumption. These requirements are aimed at maintaining its shape in the process of tissue exploitation, improving hygienic and physico-mechanical properties, it is necessary to ensure that the tissues are at the required level of consumers. The evaluation of the quality of T-shirt fabrics and other types of products will be based on the results obtained from the work on the determination and measurement of its quality indicators, as well as on its assessment in comparison with the standard and normative documents. Because, the methods of determining the properties of the product are mainly listed in detail in the standards and other regulatory documents.

Shirt fabrics are often used for technical purposes. Therefore, it is desirable to conduct a comprehensive assessment of the physical and mechanical properties of tissue tissues. There are several methods for assessing the quality of textile fabrics, including experimental, organoleptic, expert, sociological, calculated, differential, complex and mixed.

The advantage of a comprehensive assessment of the physical and mechanical properties of textile fabrics is that when determining the surface from the test results obtained, it becomes clear that a fabric with a large surface area is good. Therefore, now this method has become widespread. The dependence of product quality indicators on the nature of the comprehensive assessment is divided into actual and approximate comprehensive assessment. These end-to-end assessments have a specific physical purpose, which is often the flexibility of the fiber as well as the lifespan of the object being used. A true composite estimate is better than any continuous rough estimate. For example, the amount of defects and waste in the composition of cotton fiber is called a true complex property. The advantage of an integrated assessment is that it ends with a series of final assessments. This assessment has both advantages and disadvantages, that is, we do not have complete information about its individual properties.

For the correct selection of raw materials, it is necessary to know the rational use of the material during the management and use of the technological process. It should be noted that the initial properties of this or that material can have a positive and negative impact on the quality of the product being produced, as well as on the movement of the technological process. The thinner the fiber, the higher the comparative strength of the thread being prepared from it, and the less uneven it will be, and the more smooth the appearance will be. It should not be forgotten that this or that quality assessment can be obtained from different calculations of individual quality indicators.

The average composite score for a number of quality indicators may not change, some may be low and some may be high. Thus, it is possible to undergo a comprehensive assessment without changing the individual quality indicators of the material.

There are various methods for a comprehensive assessment of the quality of shirting fabrics. For example, n is given a dimensionless value for m material in terms of n and is estimated using a significance factor if it has different significance factors.

In order to recommend the most optimal options for indicators of geometric, physical and mechanical properties obtained in our research work, we use a graphical method of complex assessment. The advantage of this method is that in this case it is possible to objectively evaluate the most optimal options for generalized qualitative indicators of the properties of requirements for materials.

Comprehensive assessment work was carried out on the basis of tensile strength, elongation in length and width, surface density, coefficient of variation of tensile strength in the composition of shirts with different fiber content and is shown in Figure 1.

Figure 1. Scheme for a comprehensive assessment of the quality indicators of fabrics with different fiber content

From the center (m) on the properties for evaluation, polygons are plotted on the axes or decreasing values are marked in the appropriate scales using radius vectors.

When distributing the axes, the intended purpose of the material, physical and mechanical properties, compliance with the established standards should be taken into account. For example, radius vectors are determined by surface density, longitudinal and transverse density from the center, impact strength, air permeability, elongation at break.

Formed polygons are distributed into triangles, and on the basis of their surface and texture indicators, the variants are the sum of the surface of the triangles.

After a comprehensive assessment of the test results obtained in determining the physic-mechanical properties of tissue tissues with different compositions of raw materials, their surfaces were determined, and the results are presented in the form of a histogram in Figure 2.

Figure 2. Comparative histogram of quality indicators of fabrics with different fiber content

As can be seen from the comparative histogram of the qualitative parameters of the T-shirt gaskets, the surface of the T-shirt gaskets obtained by Option 1 is 6989 mm2, the surface of the T-shirt gaskets obtained by Option 2 is 12044 mm2, the surface of the T-shirt gaskets obtained by option 3162 mm2, the surface of the surface of the resulting T-shirt bag according to the physic-mechanical properties of the gauze was 5484 mm2. It follows that in the 2-th variant, the surface of the T-shirt on the quality indicators of the drape is proved to be larger than the surface of the other T-shirt drapes. In conclusion, the resulting T-shirt on Option 2 was found to be the most optimal option of the finishing. The correlation coefficient is determined in the quantitative evaluation of the interdependence of two variable dimensions. The coefficient of correlation is proportional from one variable to another: the higher the deviation in the studied shirt bag, the smaller the coefficient of correlation.

The coefficient of correlation is determined using the following formula.

                                                           (1)

here: - deviation from the average arithmetic mean of two correlation rows; - deviation from the average arithmetic mean of two correlation rows.

The error of the correlation coefficient is determined using the following formula.

                                                        (3)

When calculating the correlation coefficient, the power of disconnection of shirt-top gaskets from a mixture of 68,4% cotton+31,6% lavsan fiber in Option 1 and 42% cotton+58% lavsan fiber in Option 2 was taken into account.

The following table 1 shows the results of the calculation of the correlation coefficient based on the power of interruption of shirt-top gaskets in the direction of the weft.

Table 1.

The results of the calculation of the coefficient of correlation of the T-shirt gaskets on the basis of the shear strength of the body direction

Shirt from Option 1, the average value of the drape in the direction of the weft of the drape is calculated as follows.

Shirt from Option 2, the average value of the drape in the direction of the drape on the weft is calculated as follows.

The coefficient of correlation is determined as follows.

The error of the correlation coefficient is determined as follows.

The reliability of the correlation coefficient is determined as follows.

In our example, we can confirm that there is a strong inverse correlation even lower than the correlative link between the investigated results, and that the calculations are at the limit of experimental reliability according to the criteria of proper performance.

The following table 2 provides the results of calculating the correlation coefficient based on the power of interruption of the T-shirt gaskets in the arc direction.

Table 2.

The results of the calculation of the coefficient of correlation of the T-shirt gaskets on the basis of the shear strength of the arc direction  

1-T-shirt from the option, the average value of the drape in the direction of the back of the drape is calculated as follows.

Shirt from option 2-Bop the average value of the drape in the direction of the back is calculated as follows.

The coefficient of correlation is determined as follows.

The error of the correlation coefficient is determined as follows.

The reliability of the correlation coefficient is determined as follows.

In our example,  is equivalent, which means that it can be confirmed that the correlation between the test results has a lower strong feedback than , and that the calculations were performed correctly within the experimental reliability according to the  criterion.

Based on the tensile strength of clothing fabrics in the direction of the body and back, it can be concluded that the guaranteed correlation coefficient can be reduced by a factor of ± 0.3 between  and . However, this error can also be due to additional random factors. In such cases, since the correlation coefficient is inversely proportional and within the reliability limits, it is necessary to increase the number of experiments and determine the regression coefficients and confirm their reliability.

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