关键词: 浆纱车速, 压浆力, 上浆率, 模型构建, 浆纱工艺

Abstract: Sizing is a crucial process in weaving production, and its quality directly impacts the production efficiency of weaving machines and the quality of the fabric. The technology of sizing machines has a significant influence on the sizing effect. Among them, regulating the sizing machine speed and squeezing force is the top priority of the sizing process. During operation, the speed of the sizing machine is in a constantly changing state due to the requirements of start-up, stopping, fault treatment, and moisture regain control. Changes in the speed of the sizing machine directly affect the adsorption and squeezing of size liquor when the yarn passes through the size box, causing fluctuations in the sizing rate. Therefore, modern sizing machines are equipped with speed-force matching control technology, which can adjust squeezing force when the speed changes, thereby achieving stable sizing rates and the same sizing effect. At present, the schemes used in the matching control technology of sizing machine speed and squeezing force are all linear. Due to the lack of theoretical basis for this linear relationship and the reliance on manual experience in calibrating the linear model, there are certain errors in the actual control of sizing rates.
To better control the sizing rate by controlling the squeezing force when the speed of the sizing machine changes, we simplified the warp sizing process into the yarn immersion and squeezing process by making rational assumptions about the sizing problem. Firstly, in the analytical discussion of the immersion process, a functional relationship between immersion time and the space in which the yarn has absorbed the size liquor was established. Then, through the in-depth investigation of the mechanism of the squeezing process, the functional relationship between the amount of sizing liquid squeezed and the speed of the sizing machine and the squeezing force was constructed. A model of the relationship between sizing machine speed and squeezing force on sizing rates was constructed according to the aforementioned process. Six levels were set for sizing machine speed and squeezing force respectively, comprehensive experiments were carried out on all combinations of each level of these two parameters, and a total of 36 data were obtained for fitting the constructed model. The R2 value of the goodness of fit reaches 0.8754, which verifies that the model proposed in this paper elucidates the mechanism of the influence of sizing machine speed and squeezing force on sizing rates to a certain extent.
To check the application effect of the model from the practical perspective, the sizing rates of 8%, 9%, 10%, 11%, and 12% were taken as the target sizing rates, and based on the model constructed in this paper, the values of squeezing force were deduced and calculated under the sizing machine speeds of 10, 20, 30, 40, and 50 m/min, and the values were calculated based on the model constructed in this paper. And the sizing experiments were carried out under the corresponding processes. The results show that when the scheme modeled in this paper is used, the average relative error of the measured sizing rate is 2.59%. The average relative error of the measured sizing rate is 16.31% when the linear scheme is used for sizing under the same conditions. It shows that the model scheme constructed in this paper is significantly better than the linear model scheme in controlling the sizing rate. It is beneficial to realize the stable regulation of sizing rates under different vehicle speeds, and can meet the stability requirements of sizing production. It has good industrial application value.

Key words: sizing machine speed, squeezing force, sizing rate, model building, sizing process