Projects / Programmes source: ARIS

A theoretical model of stability and the observed repeatability of the recipe colour

Research activity

Code Science Field Subfield
2.14.01  Engineering sciences and technologies  Textile and leather  Textile and technical fibres 

Code Science Field
T400  Technological sciences  Fine chemicals technology, colours 
colour, recipe, recipe formulation, sensitivity of the recipe colour, repeatability of the recipe colour
Evaluation (rules)
source: COBISS
Researchers (7)
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  09824  PhD Darko Golob  Textile and leather  Researcher  1997 - 1999  174 
2.  04965  PhD Karl Gotlih  Manufacturing technologies and systems  Researcher  1997 - 1999  784 
3.  14063  PhD Leila Marek Crnjac  Interdisciplinary research  Researcher  1997 - 1999  93 
4.  05537  PhD Branko Neral  Textile and leather  Researcher  1997 - 1999  324 
5.  08485  PhD Boris Sluban  Textile and leather  Head  1999  111 
6.  07003  PhD Olivera Šauperl  Textile and leather  Researcher  1998 - 1999  408 
7.  17581  Ernest Šimon    Researcher  1997 - 1999  36 
Organisations (1)
no. Code Research organisation City Registration number No. of publicationsNo. of publications
1.  0795  University ob Maribor, Faculty of mechanical engineering  Maribor  5089638010  24,062 
The repeatability of a recipe colour is a very important aim in coloration practice. Among the reasons that prevent a dyeing recipe giving completely equal (i. e. repeatable) results in subsequent dyeings are small random weighing errors, variations in tinctorial strength of colorants and variations in process conditions. A theoretical model of the sensitivity of the recipe colour to concentration errors has been developed, which enables quantitative comparison of the sensitivity of various possible recipes for a given target colour already at the time of match prediction. In this project a possible link between the predicted sensitivity values and the observed repeatability is being tested. Using a combination of computer predictions and a larger number of repeated laboratory dyeings we wish to find out whether the situations occur where the contribution of the concentraton error relative to the total error is so big that the predicted values of the sensitivity of a recipe to the concentration errors can offer useful information about the repeatability of the recipe colour.
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