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RISS 인기검색어
- 검색키워드
- 저자 : Abu Naser Md Ahsanul Haque (검색결과 2 건)
- 무료
- 기관 내 무료
- 유료
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Prediction of whiteness index of cotton using bleaching process variables by fuzzy inference system
Abu Naser Md Ahsanul Haque,Shamima Akter Smriti,Manwar Hussain,Nawshin Farzana,Fahmida Siddiqa,Md. Azharul Islam 한국의류학회 2018 Fashion and Textiles Vol.5 No.1
A fuzzy prediction model has been built based on hydrogen peroxide concentration, temperature and time of bleaching as the input variables and knitted fabric whiteness index as the output variable. The process parameters affecting the whiteness index of cotton knitted fabrics are very non-linear. Fuzzy inference system is a prospective modeling tool as it can map effectively in nonlinear domain with minimum investigational data. Triangular-shaped membership functions were considered for the variables and total 48 rules were created in this study. It was found that the sole effect of the concentration of hydrogen peroxide on whiteness is pretty low, but is affected by temperature noticeably even in a fixed concentration of hydrogen peroxide. The model proposed in the present study has been verified by additional experimental data set. The root mean square, mean absolute error percentage and coefficient of determination (R 2 ) between the predicted and experimental values were found to be 0.536, 0.798 and 0.959 respectively. The results validate that the model can be applied suitably for the prediction of fabric whiteness index in textile industries.
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Abu Naser Md Ahsanul Haque,MA Hannan,Md Masud Rana 한국의류학회 2015 Fashion and Textiles Vol.2 No.1
Compatibility analysis was done by exhaustion, fixation and adsorption isotherm upon three reactive dyes; Remazol Red RR, Remazol Yellow RR and Remazol Blue RR. The known solutions of each dye were tested in UV-visible spectrophotometer and the extinction coefficients were calculated by drawing absorbance versus concentration curve. Dyeing processes were carried out in 4 different dye concentrations (0.5%, 1%, 2% and 3%) for each of the dye. The post dye and post wash liquors were tested in UV-visible spectrophotometer and the dye concentrations of those solutions were calculated through the Beer-Lambert law. The exhaustion%, fixation% of all three dyes was compared between them and their adsorption isotherm models were drawn. In between Langmuir and Freundlich isotherm model, the last one had the supremacy. Among the dyes, Blue RR had better exhaustion performance although it was not pleasingly attached with the fiber during fixation. Red RR was excellent in both exhaustion and fixation stages. It was found that in deeper concentrations the compatibility among these three dyes would be low. But experimental data shows that introducing more electrolytes and reducing the temperature as well as the alkali amount can improve these dyes’ compatibility.
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