Optimization of the setting parameters of a probe analyzer used for quality assessment of the interlace level and variation of textile polyester fibers

Optimization of the experimental settings of a laser probe analyzer used for monitoring the interlace level of yarns in the textile industry was performed to reduce large number of errors that concern the reading of the interlace level of internal reference materials. The aim was to obtain a repeatable and accurate reading of the interlace level for two classes of products: texturized and stretched yarns. The experimental design techniques allowed to build a regression model for each class, relating the instrument reading and the experimental parameters of the control analyzer. The use of the optimal settings suggested by the regression models ensured great improvement in the accuracy of the readings furnished by the probe. This improvement ranged from 8% to 10% in the case of the texturized threads and from 15% to 32% in the case of the stretched ones, bringing about a relevant improvement in the quality control process.