METHODS FOR ASSESSING THE UNEVENNESS OF MIXING OF NATURAL AND CHEMICAL FIBERS DURING MULTICHANNEL DATA COLLECTION FROM MEASURING ELEMENTS
Authors:
1.
FGBOU VO «Rossiyskiy gosudarstvennyy universitet im. A.N. Kosygina (Tehnologii. Dizayn. Iskusstvo)»
(Avtomatiki i promyshlennoy elektroniki, docent)
employee from 01.01.2003 until now
employee from 01.01.2003 until now
2.
FGBOU VO «Rossiyskiy gosudarstvennyy universitet im. A.N. Kosygina (Tehnologii. Dizayn. Iskusstvo)»
(Avtomatiki i promyshlennoy elektroniki, docent)
employee from 01.01.2004 until now
Moscow, Russian Federation
employee from 01.01.2004 until now
Moscow, Russian Federation
Type:
Article
Pages:
from 108
to 111
Status:
Published
Received:
25.12.2025
Accepted:
25.12.2025
Published:
25.12.2025
Language:
Russian
Keywords:
STATISTICAL ANALYSIS, DATA ARRAY, DATA ESTIMATION ALGORITHM, MIXING ROUGHNESS, FIBER TAPE
Abstract (English):
This article presents the developed methods for evaluating data that make it possible to determine the uniformity of the distribution of natural and chemical fibers in the section of a fiber ribbon produced on a spinning machine, thereby determining the unevenness of their mixing. These methods are based on the features of obtaining and processing measurements during multi-channel information collection from the sensitive elements of an infrared monitoring device. As a result, data collection can be carried out both through sequential recording of information from all measuring elements at specified time intervals, and with simultaneous polling of all sensitive elements. At the same time, the method of a single sequential survey is simpler to implement and evaluate the measurements obtained, since the data is recorded in a single array, which also simplifies further analysis. The implemented algorithms for evaluating the data obtained make it possible not only to visually characterize the uniformity of the distribution of dissimilar fibers along the entire section of the fiber strip under study, but also to obtain a percentage indicator that determines the quality of mixing in its transverse or longitudinal section. The diagrams shown, the change in the probability of uneven mixing, give a visual representation of the change in the uniformity of fiber distribution in the sections of fibrous tapes, the samples of which corresponded to various transitions on the tape machine. The use of appropriate measuring instruments, as well as the proposed methods for assessing the degree of fiber distribution in the transverse or longitudinal section of a fiber ribbon, will not only allow for quantitative and qualitative analysis of the unevenness of mixing dissimilar fibers in spinning intermediates, but also ensure non-destructive testing of this parameter in spinning production processes.
This article presents the developed methods for evaluating data that make it possible to determine the uniformity of the distribution of natural and chemical fibers in the section of a fiber ribbon produced on a spinning machine, thereby determining the unevenness of their mixing. These methods are based on the features of obtaining and processing measurements during multi-channel information collection from the sensitive elements of an infrared monitoring device. As a result, data collection can be carried out both through sequential recording of information from all measuring elements at specified time intervals, and with simultaneous polling of all sensitive elements. At the same time, the method of a single sequential survey is simpler to implement and evaluate the measurements obtained, since the data is recorded in a single array, which also simplifies further analysis. The implemented algorithms for evaluating the data obtained make it possible not only to visually characterize the uniformity of the distribution of dissimilar fibers along the entire section of the fiber strip under study, but also to obtain a percentage indicator that determines the quality of mixing in its transverse or longitudinal section. The diagrams shown, the change in the probability of uneven mixing, give a visual representation of the change in the uniformity of fiber distribution in the sections of fibrous tapes, the samples of which corresponded to various transitions on the tape machine. The use of appropriate measuring instruments, as well as the proposed methods for assessing the degree of fiber distribution in the transverse or longitudinal section of a fiber ribbon, will not only allow for quantitative and qualitative analysis of the unevenness of mixing dissimilar fibers in spinning intermediates, but also ensure non-destructive testing of this parameter in spinning production processes.
Keywords:
STATISTICAL ANALYSIS, DATA ARRAY, DATA ESTIMATION ALGORITHM, MIXING ROUGHNESS, FIBER TAPE
STATISTICAL ANALYSIS, DATA ARRAY, DATA ESTIMATION ALGORITHM, MIXING ROUGHNESS, FIBER TAPE
