A fast detection and judgment method for fdy network anomalies

Abstract

The invention discloses a method for detecting and judging network anomalies in the production of fully drawn yarns. The production of fully drawn yarns comprises the following steps: under the action of air flow, a plurality of fiber yarns passing through a first wire guiding device are placed in a network nozzle A network tow with a plurality of network nodes is formed in the process, and then the network tow is processed after passing through the second wire guide device. The detection and judgment method includes the following steps: The actual pressure value behind the nozzle, compare the actual pressure value with the pressure threshold or the initial pressure value of the airflow; when the actual pressure value is less than or equal to the pressure threshold or when the absolute value of the difference between the actual pressure value and the initial pressure value of the airflow exceeds the set When the threshold is set, it is determined that the network is abnormal in the network tow; the detection and judgment method of the present invention can efficiently and effectively and timely determine the clustering of the network tow, and then judge the working status of the network nozzle, avoiding the hysteresis and inefficient method.

Description

technical field [0001] The invention belongs to the technical field of chemical fiber production, and in particular relates to a fast detection and judgment method for FDY network abnormality. Background technique [0002] In chemical fiber production, for the FDY-full drawn yarn production process, if network nozzles are clogged or lateral air leakage occurs during production operation, network abnormalities (including no network, less network, etc.) are likely to occur. It will directly affect the number of network nodes of the tow, reduce the cohesion of the tow, and there is a very large quality hidden danger, that is, it will seriously affect the later processing performance. As for the prevention of inspection and control of network abnormalities in daily FDY production, the following two empirical judgments and implementation methods are basically adopted at this stage: [0003] 1. Visually inspect the blowing condition of the filament at the nozzle through the inspe...

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Problems solved by technology

[0003] 1. Visually inspect the blowing condition of the filament at the nozzle through the inspection of the process or on-site winding operators, but this method can only visually identify the no-net phenomenon that the filament cannot be blown up at all or the filament directly presents a line state And find out the abnormality, and for the abnormal situation that the network pressure drops due to the occasional nozzle internal leakage (or side seal leakage) during production, when the filament can be blown normally at this time, it is difficult for the operator to find the abnormality with the naked eye, so that It is easy to ignore the phenomenon of less nets that may occur, resulting in a large number of traces of abnormal network wires and even quality accidents

[0004] 2. Technicians regularly inspect the network. Due to the limitations of water baths and physical inspection instruments, and the frequency of network abnormalities is very low after all, arranging regular inspections consumes a lot of time, takes up manpower, and increases inspection costs. It is difficult to effectively solidify the fixed inspection method and stick to it, and there is a certain lag

[0005] Therefore, the above methods all have certain defects, and cannot effectively solve the network anomalies that occur in the production process of fully drawn yarns in practical applications.

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