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Assay of p-Chlorophenol Compliance Monitoring in Textile Wet Processing Industry Effluent Using Fenton Oxidation Process

Owais Muhammad, Zaidi Asad A., Memon Abdul Hameed, Hussain Ahmad, Ahmed Arsalan

Journal of Ecological Engineering

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2023

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Vol. 24, nr 11

108--116

EN

The textile industries utilize number of dyes, chemicals, and other materials to suffuse the characteristic of fabric qualities. A huge quantity of effluents is produced during the process. However, toxicity from synthetic dyes has become a cause of severe environment concern. Chlorophenols are mostly present in synthetic dyes which are proven carcinogenic and therefore undesirable. A number of techniques were used to remove p-Chlorophenol up to the ZDHC MRSL limit. However, none of them found to be up to mark. Fenton oxidation process was selected for its suitability to degrade the p-Chlorophenol up to 5 ppm or less from the textile wet processing industry effluent. In the present study cotton fiber was selected, as medium considering its common use in textile industry. The impact of Ferrous ion (Fe+2), Hydrogen peroxide (H2O2) and pH on the removal of p-Chlorophenol was examined. The Box-Behnken Design (BBD) of (RSM) was employed to achieve optimum desirable condition for the removal of p-Chlorophenol from effluent. A quadratic model is suggested to relate the independent variables for maximum removal of p-Chlorophenol at the optimal process condition. Results suggest that removal efficiency under the optimum condition [Fe+2] = 6.5×10-3 M, [H2O2] = 2.9×10-2 M, and [pH] = 3.5 was >90% in 15 minutes. It can be summarized that Fenton oxidation process as the promising potential for removal of p-Chlorophenol from textile wet processing industry effluent. This research work helps to address for the general knowledge gap in the textile wet processing industry effluent treatment and provide a plate form for further research.

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Sustainable Approach for Mélange Yarn Manufacturers by Recycling Dyed Fibre Waste

Wang Hua, Memon Hafeezullah, Abro Rashid, Shah Asif

Fibres & Textiles in Eastern Europe

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2020

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Vol. 28, no. 3 (141)

18--22

EN

The aim of this paper is to study a sustainable approach of recycling different fibre waste for the mélange yarn industry and to suggest a sustainable strategy of mixing dyed fibre waste for use by yarn supply chain engineers. Fibre waste was added to a Blow room or draw frame and compared in terms of properties. It was found that the mechanical properties of cotton mélange yarn manufactured by adding waste are suitable to be marketed. Various qualitative parameters such as the spun length, tenacity, elongation %, short fibre index (SFI), yarn evenness analysis, nep count analysis and waste assessment were discussed and compared in both kinds of mixing strategies i.e. mixing in the form of flocks in a blow room and in the form of slivers on a draw frame; as followed by the Mélange yarn Industry. The effect of increasing the number of passages on yarn quality was also analysed.

PL

Celem artykułu było zbadanie zrównoważonego podejścia do recyklingu różnych odpadów włókiennych w produkcji przędzy melanżowej i zasugerowanie zrównoważonej strategii mieszania barwionych odpadów włókiennych do wykorzystania przez inżynierów w łańcuchu dostaw przędzy. Odpady z włókien dodano do suszarni lub ramy wyciągowej i porównano pod względem właściwości. Stwierdzono, że właściwości mechaniczne bawełnianej przędzy melanżowej wytwarzanej przez dodanie odpadów są odpowiednie do wprowadzenia do obrotu. Różne parametry jakościowe, takie jak długość przędzenia, wytrzymałość na rozciąganie, % wydłużenia, wskaźnik krótkich włókien (SFI), analiza równomierności przędzy, analiza liczby zgrubień i ocena odpadów zostały omówione i porównane w obu rodzajach strategii mieszania.

3

The Prediction of Cotton Ring Yarn Properties from AFIS Fibre Properties by Using Linear Regression Models

Üreyen M. E., Kadoğlu H.

Fibres & Textiles in Eastern Europe

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2007

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Vol. 15, no. 4 (63)

63--67

EN

In this paper some models for predicting the most important ring yarn quality characteristics were built by using AFIS (Advanced Fibre Information System) data. Yarn count, twist and roving properties were also selected as predictors because of their great effect on the yarn properties. A total of 180 ring yarns were produced from 15 different cotton blends on the same ring spinning machine, on the same spinning positions and under the same conditions at Ege University Textile and Apparel Research-Application Centre. Each blend was spun in four yarn counts (29.53 tex, 23.63 tex, 19.69 tex, and 16.88 tex) at three different coefficients of twist (αTt 3639, αTt 4022, and αTt 4404). Linear multiple regression methods were used for the estimation of the yarn quality characteristics. The goodness of fit statistics showed that our equations had very large R2 (coefficient of multiple determination) and adjusted R2 values.

PL

Na podstawie pomiarów wykonanych za pomocą AFIS opracowano model regresyjny dla przewidywania najbardziej istotnych właściwości jakościowych bawełnianych przędz obrączkowych, takich jak masa liniowa, skręt i właściwości niedoprzędu. Wyprodukowano 180 przędz obrączkowych z 15 różnych mieszanek bawełny na tej samej przędzarce, z tym samym punkcie przędzącym i przy tych samych warunkach technologicznych. Dla każdej mieszanki bawełny uzyskiwano przędze o 4 różnych masach liniowych (ok.: 29,5 tex, ok. 23,6 tex, ok. 19,7 tex i ok. 16,9 tex) i 3 współczynniki skrętu αTr = 3639, 4022 i 4404. Zastosowano wielowarstwową regresję liniową dla wyznaczenia charakterystyk jakościowych. Na podstawie wszystkich wartości współczynników RZ stwierdzono bardzo dobrą statystycznie zgodność wyników przewidywanych właściwości jakościowych przędz.

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Determination of the technological value of cotton fibre: a comparative study of the traditional and multiple-criteria decision-making approaches

Majumdar A., Majumdar P. K., Sarkar B.

Autex Research Journal

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2005

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Vol. 5, no. 2

71--80

EN

This paper presents a comparative study of the methods used to determine the technological value or overall quality of cotton fibre. Three existing methods, namely the fibre quality index (FQI), the spinning consistency index (SCI) and the premium-discount index (PDI) have been considered, and a new method has been proposed based on a multiple-criteria decision-making (MCDM) technique. The efficacy of these methods was determined by conducting a rank correlation analysis between the technological values of cotton and yarn strength. It was found that the rank correlation differs widely for the three existing methods. The proposed method of MCDM (multiplicative AHP) could enhance the correlation between the technological value of cotton and yarn strength.