9668

8912

كارشناسي ارشد

شيمي نساجي و علوم الياف

اصفهان: دانشگاه صنعتي اصفهان، دانشكده نساجي

1393

سيزده،36ص.: مصور،جدول،نمودار

ص.ع.به فارسي و انگليسي

حسين ايزدان

هاله خليلي

93/12/20

محمود فيض، داريوش سمناني

مهندسي نساجي

ID8912

AbstractIn the textile industry the colour of the products is of great importance and is one of themajor factors influence the customer attraction to the product The proper formulation andcorrect colour correction of the products during the colour matching process increases thequality of the products However due to the variety of reasons such as change in thequality of fibres fabric structure temperature humidity dye quality spinning process andthe controlling factors of dyeing processes the colour of a textile product may slightly bealtered from batch to batch of the product Visual and instrumental methods of shadesorting are solutions to identify the difference in the product colour and to sort the productsin groups with the acceptable colour difference between the samples in the groups Because of the lack of enough repeatability unreliable results high time consumption andcost of the visual method of shade sorting it is necessary to use the instrumental methodsof shade sorting An important instrumental method of shade sorting in textile industry isCCC technique which is done by the application of CMC 2 1 colour difference formula Therefore improving the performance of the CCC technique is of great importance for thepractitioners in textile industry In the present research the CCC technique is done by using CMC 2 1 and CIEDE2000colour difference formula on the colorimetric data L a b of the samples in 37 groups ofthe fabric samples made around 9 standard colour points in CIELAB colour space Thegroups were had been sorted visually by the colour experts Also the K means technique which is a non hierarchical clustering technique was combined with the CCC technique inorder to increase the performance of the shade sorting Moreover the effect of applying aPCA technique on the colorimetric data of the samples in each of the sorted groups toremove the pert samples was examined Different criteria were used to compare theperformance of the shade sorting techniques performed in the present research The results show that the application of the CIEDE2000 colour difference formula in theCCC technique improved the technique s performance in comparison to applying theCMC 2 1 colour difference formula Also the combination of the K means techniquewith the CCC technique enhances the performance of the shade sorting Applying the PCAon the colorimetric data of the samples at the beginning of the shade sorting process shows ambiguity It means that some of the criteria to assess the performance of the shadesorting techniques were improved and the other criteria were deteriorated This shows thatthe application of the PCA technique depends on the importance of each of the criteria forthe end use of the products and or on the priority made by customers on the criteria

حسين ايزدان

هاله خليلي

محمود فيض، داريوش سمناني