Calculation method of on-machine sizing rate in sizing process

Abstract

The invention discloses a method for calculating the on-machine sizing percentage in the sizing process, and relates to the technical field of textiles. The method comprises the following steps of calculating the average dry weight rate of sizing used for sizing in the sizing process, calculating the dry weight of each piece or each roll of sheet yarn in the sizing process, calculating the standard weight of the sizing needed by each piece or each roll of sheet yarn, and calculating the on-machine sizing percentage at any moment in the sizing process. The defects that in the prior art, blindness and randomness of sizing control of sizing workers are caused and sizing quality is not stable are overcome, and the defects that the sampling analysis process in the prior art is tedious and time feedback obviously lags are overcome; the method has the advantages that the sizing quality is stable, the sizing qualified rate and the weaving efficiency of a cloth machine are improved, the sizing loss is reduced, and the production cost is reduced.

Description

technical field [0001] The invention relates to the technical field of textiles, more specifically, it is a unique calculation method of the on-machine sizing rate in the sizing process, and also a technical means for the immediate reflection of the on-machine sizing rate. Background technique [0002] The purpose of sizing is to combine several warp beams together according to the total number of warps required by the weaving variety, and to make the yarn hairiness smooth through sizing, so as to achieve the purpose of strengthening and reducing stretch, and meet the needs of cloth machine weaving; The quality of sizing and sizing directly restricts the weaving efficiency of cloth machine and the quality of gray cloth. [0003] The mastery of the sizing rate of sizing is mainly based on the work experience accumulated by the car operator, combined with hand touch, visual inspection and other methods to judge; this method is blind and random, and the sizing quality is unstab...

AI Technical Summary

Problems solved by technology

[0003] The mastery of the sizing rate of sizing is mainly based on the work experience accumulated by the car operator, combined with hand touch, visual inspection and other methods to judge; this method is blind and random, and the sizing quality is unstable; in order to ensure weaving efficiency, a large scale Large enterprises track and sample the sizing quality of sizing. The sampling and analysis process is quite cumbersome, and the time is obviously lagging behind; from the sampling data, the sizing pass rate is only about 50%, which shows the size of the sizing risk; Consequences caused by light sizing, to overcome the above disadvantages by blindly increasing the sizing rate; in the sizing process, the performance of the sizing machine, sizing process parameters, boiler steam pressure, size tank temperature, cylinder temperature, size viscosity and content Solidity rate, vehicle speed, weight of yarn sheet, thickness of yarn count, raw material quality and raw material ratio of yarn count, selection and ratio of size, etc., all have great limitations on the control of sizing rate by the operator. , if the driver makes a wrong judgment, it will cause the waste of several tons of warp yarn

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