| | SLO | ENG | Cookies and privacy

Bigger font | Smaller font

Search the digital library catalog Help

Query: search in
search in
search in
search in
* old and bologna study programme


1 - 5 / 5
First pagePrevious page1Next pageLast page
Možna rešitev čiščenja odpadnih voda iz tekstilne industrije
Alenka Majcen Le Marechal, Darinka Brodnjak-Vončina, Darko Golob, Nina Novak, 2006, original scientific article

Abstract: Odpadne vode iz tekstilne industrije, ki nastajajo pri plemenitenju tekstilnih materialov, so zaradi svoje obarvanosti in heterogene sestave tako estetski kot tudi ekološki problem. V članku je opisan evropski projekt ADOPBIO, ki ponuja alternativno rešitev čiščenja teh odpadnih voda. Namen projekta ADOPBIO je razviti in ponuditi rešitev čiščenja in recikliranja odpadne vode iz tekstilne plemenitilne industrije. Cilj projekta je razviti metodo, ki zagotavlja popolno razbarvanje in 75-odstotno recikliranje odpadne vode iz plemenitilnic. ADOPBIO združuje dve najboljši razpoložljivi tehniki za čiščenje odpadne vode: tehniko AOP z bioflotacijo. Ta kombinacija metod čiščenja odpadnih voda iz tekstilne industrije do začetka projekta še ni bila preizkušena. Vloga Oddelka za tekstilne materiale in oblikovanje pri tem projektu je bila raziskati in proučiti možnost razbarvanja odpadnih voda iz dveh sodelujočih tekstilnih podjetij z naprednima oksidacijskima postopkoma: s postopkom, pri katerem aktiviramo $H_2O_2$ termično ob prisotnosti katalizatorja, in s postopkom, kjer aktiviramo $H_2O_2$ z UV žarki. Z obdelavo termo/$H_2O_2$/katalizator, ki ji je sledila obdelava UV/$H_2O_2$, smo za odpadne vode iz podjetja TSP v povprečju dosegli 70-odstotno razbarvanje, za odpadne vode iz podjetja Blondel pa 87-odstotno razbarvanje.
Keywords: tekstilna industrija, odpadne vode, čiščenje odpadnih vod, razbarvanje, recikliranje, napredni oksidacijski postopki, bioflotacija, regulacijska programska oprema, umetne nevronske mreže, Plackett-Burmanov eksperimentalni načrt
Published: 31.08.2017; Views: 1265; Downloads: 96
.pdf Full text (1,13 MB)
This document has many files! More...

Effects of woven fabric construction and color on ultraviolet protection
Polona Dobnik-Dubrovski, Darko Golob, 2009, original scientific article

Abstract: This paper presents the effects of woven fabric construction and color on the ultraviolet protection factor. Weave type, fabric tightness, cover factor, volume porosity and color of lightweight summer woven fabrics were observed in this research. Color had the biggest influence on the ultraviolet protectionfactor of fabrics, whereas woven fabric construction was essential when light pastel colored fabrics were used as ultraviolet protection. This work provides guidelines for engineering woven cotton fabrics with sufficient ultraviolet protection.
Keywords: color, UV protection, woven fabric construction
Published: 01.06.2012; Views: 1559; Downloads: 97
URL Link to full text

FP7 EU project AquaFit4Use - synergy of 4 industrial sectors with the goal of waste water recycling
Alenka Majcen Le Marechal, Simona Vajnhandl, Darko Golob, 2009, professional article

Abstract: Sustainable water use in industry is the goal of AquaFit4Use, by a cross-sectorial, integrated approach. The overall objectives are: the development and implementation of new, reliable, cost-effective technologies, tools and methods for sustainable water supply, use and discharge in the main water consuming industries in order to significantly reduce water use, mitigate environmental impact and produce and apply water qualities in accordance with industrial own specifications (fit - for - use) from all possible sources, and contributing to a far-going closure of the water cycle in a economical, sustainable and safe way while improving their product quality and process stability.
Keywords: waste water recycling, reduce water use, water quality, sustainable water supply
Published: 31.05.2012; Views: 2102; Downloads: 23
URL Link to full text

The effect of pretreatment on the environment and dyeing properties of a selected cotton knitted fabric
Darinka Fakin, Darko Golob, Zoran Stjepanović, 2008, original scientific article

Abstract: The current preparation of cotton knitted fabric prior to dyeing mainly involves a combined process consisting of scouring and peroxide bleaching. In this research two pre-treatment procedures, i.e. combined alkaline scouring/bleaching and enzymatic scouring/bleaching, were compared and their effects evaluated regarding environmental impact, whiteness and dyeing properties. Different pre-treated samples of cotton knitted fabrics were subsequently dyed with a chosen set of bifunctional reactive Cibacron LS dyes.The results obtained indicate that combined pre-treatment by enzymatic scouring/bleaching can be regarded as a good alternative to alkaline scouring/bleaching since it results in lower pollution of waste-water, lower SAK value after dyeing, washing and soaping, and consequently lower hydrolysation of dyestuff. Furthermore, added advantages are that it produces similar whiteness, similar dye exhaustion and, with the exception of black dyestuff, comparable dyeing results.
Keywords: cotton, pretreatment, bleaching, dyeing, ecological parameters
Published: 31.05.2012; Views: 1472; Downloads: 19
URL Link to full text

The use of artificial neural networks for colour prediction in textile printing
Darko Golob, Jure Zupan, Đurđica Parac-Osterman, 2008, published scientific conference contribution

Abstract: An attempt of using artificial neural networks for the prediction of dzes in textile printing paste preparation is presented. An existing collection of printed samples served as the basis for neural network training. It consists of 1340 samples printed using either a single dze or a combination of two dzes. First the proper combination of dzes was determined, because in most cases onlz two dzes are combined in the printing paste. Then the necessarz concentration of each dze was predicted. The reflectance value, and the colourvalues L*, a*, b* serve as input data and the known combination and concentrations of dzes for each sample were the targets. Some variations of neural network were tested, as well as various numbers of neurons in the hidden lazer. In addition, the influence of the training set organisation was examined, together with the number of learning epochs on the learning success.
Keywords: artificial neural networks, textile printing, colour recipe prediction
Published: 31.05.2012; Views: 1443; Downloads: 44
URL Link to full text

Search done in 0.08 sec.
Back to top
Logos of partners University of Maribor University of Ljubljana University of Primorska University of Nova Gorica