Reactive dyes are the main dyes in printing and dyeing of cellulosic fibers.Reactive dyes fixation rate is a vital indicator to measure the degree of the covalent bond between cellulose and reactive dyes.However,the d...Reactive dyes are the main dyes in printing and dyeing of cellulosic fibers.Reactive dyes fixation rate is a vital indicator to measure the degree of the covalent bond between cellulose and reactive dyes.However,the determination of the fixation rate is tedious and time-consumptive.Based on the theory of reactive dyes dyeing and application of modern computer color matching technology,the relationship between K/S value and the fixation rate with the reactive dyes on cotton fabric was studied.The feasibility of K/S value instead of the traditional washing method for the determination of reactive dyes fixation rate was proved.In this study,the K/S value of the fabric has an excellent linear relationship to the reactive dyes fixation rate obtained by the washing method.The reactive dyes fixation rate can be obtained through the K/S correction value.展开更多
Dyeing of PET materials by traditional methods presents several problems.Plasma technology has received enormous attention as a solution for the environmental problems related with textile surface modifications,and th...Dyeing of PET materials by traditional methods presents several problems.Plasma technology has received enormous attention as a solution for the environmental problems related with textile surface modifications,and there has been a rapid development and commercialization of plasma technology over the past decade.In this work,the synergistic effect of atmospheric pressure plasma on alkaline etching and deep coloring of dyeing properties on polyethylene terephthalate（PET）fabrics and films was investigated.The topographical changes of the PET surface were investigated by atomic force microscopy（AFM）images,which revealed a smooth surface morphology of the untreated sample whereas a high surface roughness for the plasma and/or alkaline treated samples.The effects of atmospheric pressure plasma on alkaline etching of the structure and properties of PET were investigated by means of differential scanning calorimetry（DSC）,the main objective of performing DSC was to investigate the effect of the plasma pre-treatment on the T_g and T_m.Using a tensile strength tester YG065 H and following a standard procedure the maximum force and elongation at maximum force of PET materials was investigated.Oxygen and argon plasma pre-treatment was found to increase the PET fabric weight loss rate.The color strength of PET fabrics was increased by various plasma pre-treatment times.The penetration of plasma and alkaline reactive species deep into the PET structure results in better dyeability and leaves a significant effect on the K/S values of the plasma pre-treated PET.It indicated that plasma pre-treatment has a great synergistic effect with the alkaline treatment of PET.展开更多
The effect of five dihydric alcohols on the fixation rate and K/S value of reactive dyes on cotton fabrics was investigated.Results show that the more primary hydroxyl groups are contained in the isomeric dihydric alc...The effect of five dihydric alcohols on the fixation rate and K/S value of reactive dyes on cotton fabrics was investigated.Results show that the more primary hydroxyl groups are contained in the isomeric dihydric alcohols,the greater activity of reacting with the reactive dye.Longer carbon chain also increases the reactivity of dihydric alcohols with reactive dyes.This study provides a theoretical basis for the selection of suitable dihydric alcohols in preparation reactive dye inkjet printing ink.展开更多
With the rapid development of big data technology, the personal credit evaluation industry has entered a new stage. Among them, the evaluation of personal credit based on mobile telecommunications data is one of the h...With the rapid development of big data technology, the personal credit evaluation industry has entered a new stage. Among them, the evaluation of personal credit based on mobile telecommunications data is one of the hotspots of current research. However, due to the complexity and diversity of personal credit evaluation variables, in order to reduce the complexity of the model and improve the prediction accuracy of the model, we need to reduce the dimension of the input variables. According to the data provided by a mobile telecommunications operator, this paper divides the data into a training sets and verification sets. We perform correlation analysis on each indicator of the data in the training set, and calculate the corresponding IV value based on the WOE value of the selected index, then binning data with SPSS Modeler. The selected variables were modeled using a logistic regression algorithm. In order to make the regression results more practical, we extract the scoring rules according to the results of logistic regression, convert them into the form of score cards, and finally verify the validity of the model.展开更多
文摘Reactive dyes are the main dyes in printing and dyeing of cellulosic fibers.Reactive dyes fixation rate is a vital indicator to measure the degree of the covalent bond between cellulose and reactive dyes.However,the determination of the fixation rate is tedious and time-consumptive.Based on the theory of reactive dyes dyeing and application of modern computer color matching technology,the relationship between K/S value and the fixation rate with the reactive dyes on cotton fabric was studied.The feasibility of K/S value instead of the traditional washing method for the determination of reactive dyes fixation rate was proved.In this study,the K/S value of the fabric has an excellent linear relationship to the reactive dyes fixation rate obtained by the washing method.The reactive dyes fixation rate can be obtained through the K/S correction value.
基金partially supported by the National Natural Science Foundation of China Contract 11375042
文摘Dyeing of PET materials by traditional methods presents several problems.Plasma technology has received enormous attention as a solution for the environmental problems related with textile surface modifications,and there has been a rapid development and commercialization of plasma technology over the past decade.In this work,the synergistic effect of atmospheric pressure plasma on alkaline etching and deep coloring of dyeing properties on polyethylene terephthalate（PET）fabrics and films was investigated.The topographical changes of the PET surface were investigated by atomic force microscopy（AFM）images,which revealed a smooth surface morphology of the untreated sample whereas a high surface roughness for the plasma and/or alkaline treated samples.The effects of atmospheric pressure plasma on alkaline etching of the structure and properties of PET were investigated by means of differential scanning calorimetry（DSC）,the main objective of performing DSC was to investigate the effect of the plasma pre-treatment on the T_g and T_m.Using a tensile strength tester YG065 H and following a standard procedure the maximum force and elongation at maximum force of PET materials was investigated.Oxygen and argon plasma pre-treatment was found to increase the PET fabric weight loss rate.The color strength of PET fabrics was increased by various plasma pre-treatment times.The penetration of plasma and alkaline reactive species deep into the PET structure results in better dyeability and leaves a significant effect on the K/S values of the plasma pre-treated PET.It indicated that plasma pre-treatment has a great synergistic effect with the alkaline treatment of PET.
文摘The effect of five dihydric alcohols on the fixation rate and K/S value of reactive dyes on cotton fabrics was investigated.Results show that the more primary hydroxyl groups are contained in the isomeric dihydric alcohols,the greater activity of reacting with the reactive dye.Longer carbon chain also increases the reactivity of dihydric alcohols with reactive dyes.This study provides a theoretical basis for the selection of suitable dihydric alcohols in preparation reactive dye inkjet printing ink.
文摘With the rapid development of big data technology, the personal credit evaluation industry has entered a new stage. Among them, the evaluation of personal credit based on mobile telecommunications data is one of the hotspots of current research. However, due to the complexity and diversity of personal credit evaluation variables, in order to reduce the complexity of the model and improve the prediction accuracy of the model, we need to reduce the dimension of the input variables. According to the data provided by a mobile telecommunications operator, this paper divides the data into a training sets and verification sets. We perform correlation analysis on each indicator of the data in the training set, and calculate the corresponding IV value based on the WOE value of the selected index, then binning data with SPSS Modeler. The selected variables were modeled using a logistic regression algorithm. In order to make the regression results more practical, we extract the scoring rules according to the results of logistic regression, convert them into the form of score cards, and finally verify the validity of the model.
