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Computer-aided Cotton Spinning Quality Control System Development

Posted on:2009-12-07Degree:MasterType:Thesis
Country:ChinaCandidate:E Q WangFull Text:PDF
GTID:2191360242485862Subject:Textile Engineering
Abstract/Summary:PDF Full Text Request
Cotton-spinning quality control is a systematic project, when the humidity is set, it is necessary to think about fiber material, spinning machine and process altogether, or else it is hard to ensure good yarn quality, so the software designed for Cotton-spinning quality control should offer analyzing methods in those three aspects; According to the characteristic of Cotton-spinning quality control, this essay discusses the means to control yarn quality and develops programs based on the Cotton-spinning quality control means.Yarn evenness and tenacity are predicted through cotton property; meanwhile the predicting subsystem is developed. It is proved that this system can predict yarn qualities with the accuracy satisfying cotton spinning mill requirement and the predicted result can be used to guide spinning practice.The common experiment design methods and data analysis principles, based on which the subsystem for optimizing process is programmed, are studied. This subsystem can be used to analyze data for single factor or multiple factors in order to optimize process parameters.This system also includes some other functions to evaluate yarn qualities, compute mechanical wave length, and diagnose mechanical wave to locate the process which has incurred that yarn fault. With the help of those functions, it is quick to find out the malfunction parts, at the same time, the central work for preventing yarn impurities can be decided according to ultimate use of the yarn to be produced.In the process of developing this system, some new methods are tried both in model building and programming method. The artificial neural network techniques are used to build predicting model, which is proved much accurate; the model used to assess yarn qualities is built with fuzzy decision and coefficients are added to the model to make the assessment more practical; the subsystem for predicting yarn qualities is developed with the technique of VB and MATLAB merging programming so that the advantages of one are incorporated to that of the other .The developing period is shortened, but the UI is much friendly.
Keywords/Search Tags:quality control, process parameters optimization, quality prediction, quality assessment
PDF Full Text Request
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