Cotton Yarn Quality Prediction Based On Cotton Fiber Quality

The cost of cotton blending and spinning quality directly determine the economic benefits of cotton spinning enterprises.Cotton spinning process is a multiple operation and long period process.There are many factors affecting yarn quality,but the main factors are the performance index of cotton fiber and the inherent characteristics of processing system and process design.How to decide and choose a reasonable process depends on the characteristics and properties of raw cotton,and the quality of raw cotton is the key to yarn quality.In view of the fact that the influence of process parameters on yarn quality is controllable,the main research focus is on raw cotton quality,that is,under the assumption of reasonable process parameters,to study the influence of raw cotton quality parameters on yarn quality.Definition the maturity,length,fineness,moisture regain,strength,impurities,reflectivity and yellow depth of cotton fibers,and points out which yarn quality indicators are greatly affected by these indicators.The cotton yarn strength,evenness and neps are summarized,and the main cotton fiber quality indicators affecting these indicators are also discussed.Ten cotton fibre indices including yellowness,reflectivity,length,moisture regain,impurity content,total neps,short fibre percentage,fineness,micronaire value and strength were selected as input factors;six cotton yarn quality indices,yarn strength,evenness CV%,evenness CVb%,details,rough and neps,were selected as output.Regression analysis,neural network and principal component and neural network are used to model and compare the prediction results,which algorithm has better prediction accuracy and stability for different fineness cotton yarn prediction,and the difference of prediction results for different fineness cotton yarn is compared.