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In the present research, the compatibility of dyes was evaluated using a scanner by the application of the method proposed by Khalili and Amirshahi, which had been proved as a novel and accurate method for evaluating the compatibility behavior of dye mixtures. A dip‐test method was employed to dye samples, compatibility panels, in binary combinations of cationic dyes on acrylic fibers. In order to use the scanner, first the device was colorimetrically characterized using a regression technique. The tristimulus values obtained from the scanner were, then, used for the reconstruction of the reflectance of the compatibility panels by principal component analysis. Next, the reconstructed reflectance of the panels were transferred to the corresponding K/S spectra and the Khalili and Amirshahi proposed method applied to the spectra in order to obtain the percentage variance (PV), which is the criterion of the dye compatibility. The comparison between the PVs obtained from the scanner and the corresponding one calculated by the spectrophotometrically measured reflectance of the compatibility panels showed a very significant correlation of the compatibility results regarding Pearson correlation coefficients and their K values. It was concluded that due to the smoothness of the reconstructed spectra and the performance of the PCA method of the reconstruction, which manifest itself in the good spectral reconstruction, the scanner method joined with the Khalili and Amirshahi proposed method can reliably be used for the determination of dye mixtures compatibility by a dip test. © 2016 Wiley Periodicals, Inc. Col Res Appl, 42, 337–345, 2017
In the present research, the compatibility of dyes was evaluated using a scanner by the application of the method proposed by Khalili and Amirshahi, which had been proved as a novel and accurate method for evaluating the compatibility behavior of dye mixtures. A dip‐test method was employed to dye samples, compatibility panels, in binary combinations of cationic dyes on acrylic fibers. In order to use the scanner, first the device was colorimetrically characterized using a regression technique. The tristimulus values obtained from the scanner were, then, used for the reconstruction of the reflectance of the compatibility panels by principal component analysis. Next, the reconstructed reflectance of the panels were transferred to the corresponding K/S spectra and the Khalili and Amirshahi proposed method applied to the spectra in order to obtain the percentage variance (PV), which is the criterion of the dye compatibility. The comparison between the PVs obtained from the scanner and the corresponding one calculated by the spectrophotometrically measured reflectance of the compatibility panels showed a very significant correlation of the compatibility results regarding Pearson correlation coefficients and their K values. It was concluded that due to the smoothness of the reconstructed spectra and the performance of the PCA method of the reconstruction, which manifest itself in the good spectral reconstruction, the scanner method joined with the Khalili and Amirshahi proposed method can reliably be used for the determination of dye mixtures compatibility by a dip test. © 2016 Wiley Periodicals, Inc. Col Res Appl, 42, 337–345, 2017
A novel method for determination of the compatibility of dyes in mixtures based on the application of principal component analysis is presented. The well known dip-test method is used to dye samples in different binary combinations of cationic dyestuffs. The spectral reflectance of different samples of each mixture that dyed with a given set of dyestuffs by dip-test method has been measured and the corresponding K/S values are calculated. The actual dimensional properties of each mixture are evaluated by using principal component analysis technique and determination of cumulative percentage variance of the eigenvalues of proposed datasets. Ideally, the K/S spectral data of fully compatible pairs scatter around one dimension, while proportional to the degree of incompatibility of dyes in the mixture, other dimensions should be taken into account and cannot be ignored. Strong correlations are found between the calculated percentage variance and the traditional compatibility values of dyes shown by K value for cationic dyestuffs. The validity of suggested technique is also reconfirmed by normalization of spectral K/S data obtained from different dye sets.
The article contains sections titled: 1. History, Economic Importance 1.1. Historical Dyeing Methods 1.2. Economic Importance of Textile Dyeing 2. Dyeing Technology 2.1. General 2.1.1. History 2.1.2. The Field of Dyeing Technology 2.1.3. Fundamental Principles of Dyeing 2.1.3.1. Dyeing Systems 2.1.3.2. Phases of Exhaustion Dyeing 2.1.3.3. Dyeing Phase (Dyeing Kinetics) 2.1.3.4. Equilibrium Phase 2.1.3.5. Dye Fixation, Improvement of Colorfastness 2.1.3.6. Sources of Further Process Data 2.2. Batchwise Dyeing (Bath Dyeing) 2.2.1. Fundamental Principles and Equipment 2.2.2. Theoretical and Technical Fundamental Principles 2.2.3. Circulating Machines (Stationary Goods, Circulating Liquor) 2.2.3.1. Systems and Functions 2.2.3.2. Loose Stock Dyeing Machines 2.2.3.3. Package Dyeing Machines (Cross‐Wound Packages) 2.2.3.4. Hank Dyeing Machines 2.2.3.5. Beam Dyeing 2.2.4. Circulating‐Goods Machines with Textile Storage (Winch Type) 2.2.4.1. System and Functions 2.2.4.2. The Winch Beck 2.2.4.3. Jet Dyeing Machines 2.2.4.4. Overflow Dyeing Machines 2.2.4.5. The Air Jet (“Airflow”) Dyeing Machine 2.2.5. The Dyeing Jigger 2.2.5.1. Normal (Direct) Jig Dyeing 2.2.5.2. Pad Jig Process 2.2.6. Special Bath Dyeing Equipment 2.2.6.1. Star‐Shaped Dyeing Frames 2.2.6.2. Machines for Dyeing Hanks of Yarn 2.2.6.3. Paddle Dyeing Machine 2.2.6.4. Rotary Dyeing Machine 2.2.6.5. Cabinet Dyeing 2.2.6.6. Hosiery Dyeing Machines 2.2.7. Automatic Control of Bath Dyeing 2.2.7.1. Aims 2.2.7.2. Functions of Automatic Control 2.2.7.3. Equipment Requirements 2.3. Continuous and Semicontinuous Dyeing 2.3.1. The Principal Stages of Continuous Dyeing 2.3.1.1. Dye Pickup 2.3.1.2. Intermediate Drying 2.3.1.3. Dye Fixation 2.3.1.4. Aftertreatment of the Dyed Fabric (Finishing) 2.3.2. Dyeing Plants 2.3.3. Continuous Dyeing of Yarn and Fiber 2.3.4. Automatic Operation of Continuous Dyeing Plants 2.3.4.1. Important Process Stages and their Automation 2.3.4.2. Technology of Automation 2.4. Laboratory Dyeing Techniques 2.4.1. Objectives 2.4.2. Laboratory Dyeing 2.4.2.1. Typical Laboratory Equipment 2.4.2.2. Small‐Scale Production Equipment 2.4.3. Laboratory Dyeing Technology 2.5. Techniques of Dispensing Products used in Dyeing 2.5.1. Dispensing of Dyes 2.5.2. Dispensing of Dye Auxiliaries 2.5.3. Dispensing of Chemicals 2.5.4. Preparation of the Initial Liquor Charge and its Replenishment 2.5.4.1. Batch Dyeing 2.5.4.2. Continuous Dyeing 2.6. Colorimetry 2.6.1. Measuring Instruments 2.6.2. Methods of Expressing Colorimetric Results 2.6.3. Developments in Colorimetry 3. Physical Properties of Textiles Important for Dyeing 3.1. Classification of Textile Properties 3.2. Fibers 3.3. Yarns 3.4. Fabrics 3.5. Makeup of Textiles for Dyeing 4. Dyeing of Cellulose Fibers 4.1. Dyeing with Reactive Dyes 4.1.1. Fundamentals 4.1.2. Dyeing Techniques 4.1.3. Special Processes and Development Trends 4.2. Dyeing with Direct Dyes 4.2.1. Applications and Properties 4.2.2. Dyeing Principle 4.2.3. Pretreatment of Substrates 4.2.4. Dyeing Parameters 4.2.5. Dyeing Techniques 4.2.6. Special Processes 4.2.7. Aftertreatment 4.3. Dyeing with Anthraquinone Vat Dyes 4.3.1. Chemistry of Vat Dyes 4.3.2. Vatting 4.3.3. Dye Absorption in the Exhaustion Process 4.3.4.
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