Crosslinking vs. interdiffusion rates in melamine-formaldehyde cured latex coatings : a model for waterborne automotive basecoat / Mitchell A. Winnik in JOURNAL OF COATINGS TECHNOLOGY (JCT), Vol. 71, N° 892 (05/1999)

[article]  inJOURNAL OF COATINGS TECHNOLOGY (JCT) > Vol. 71, N° 892 (05/1999) . - p. 47-60 Titre : Crosslinking vs. interdiffusion rates in melamine-formaldehyde cured latex coatings : a model for waterborne automotive basecoat Type de document : texte imprimé Auteurs : Mitchell A. Winnik, Auteur ; Patrick Pinenq, Auteur ; Christian Krüger, Auteur ; Jianxin Zhang, Auteur ; Phillip V. Yaneff, Auteur Année de publication : 1999 Article en page(s) : p. 47-60 Note générale : Bibliogr. Langues : Américain (ame) Catégories : Automobiles -- Revêtements:Automobiles -- Peinture Copolymère mélamine-formaldéhyde Polyacrylates Réticulation (polymérisation) Revêtements en phase aqueuse:Peinture en phase aqueuse Index. décimale : 667.9 Revêtements et enduits Résumé : Designing optimal formulations for automotive waterborne basecoats can be fairly complex, often requiring knowledge of events that occur at the molecular level. The ultimate performatce of the coating can depend upon the success with which this knowledge is applied. We examine a system in which an aqueous dispersion of an acrylic latex with -OH functionality reacts with a melamine derivative when heated. We use fluorescence-labeling and energy transfer measurements to obtain information on the relative rates of crosslinking and interparticle polymer diffusion in these films. We show that temperature and particle morphology play an important role in the development of film properties. Finally, these energy transfer experiments provide information on the location of the melamine-formaldehyde resin in the dry film before the onset of crosslinking. This system can serve as a model for waterborne basecoat development in many automotive applications. Note de contenu : - EXPERIMENTAL : Materials - Latex characterization - Film formation, annealing, and fluorescence measurements - FLUORESCENCE DATA AND DATA ANALYSIS - RESULTS AND DISCUSSION : Latex preparation and characterization - Where is the melamine located ? - Crosslinking, gel content, and swell ratio - Polymer interdiffusion - Core-Shell latex films Permalink : https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=17853 [article]

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Dyeing recipe prediction of cotton fabric based on hyperspectral colour measurement and an improved recurrent neural network / Jianxin Zhang in COLORATION TECHNOLOGY, Vol. 137, N° 2 (04/2021)  

[article]  inCOLORATION TECHNOLOGY > Vol. 137, N° 2 (04/2021) . - p. 166-180 Titre : Dyeing recipe prediction of cotton fabric based on hyperspectral colour measurement and an improved recurrent neural network Type de document : texte imprimé Auteurs : Jianxin Zhang, Auteur ; Xinen Zhang, Auteur ; Junkai Wu, Auteur ; Chunhua Xiao, Auteur Année de publication : 2021 Article en page(s) : p. 166-180 Note générale : Bibliogr. Langues : Anglais (eng) Catégories : Colorimétrie Coton Le coton est une fibre végétale qui entoure les graines des cotonniers "véritables"(Gossypium sp.), un arbuste de la famille des Malvacées. Cette fibre est généralement transformée en fil qui est tissé pour fabriquer des tissus. Le coton est la plus importante des fibres naturelles produites dans le monde. Depuis le XIXe siècle, il constitue, grâce aux progrès de l'industrialisation et de l'agronomie, la première fibre textile du monde (près de la moitié de la consommation mondiale de fibres textiles). Prévision, Théorie de la Réseaux neuronaux (informatique) Teinture -- Fibres textiles Index. décimale : 667.3 Teinture et impression des tissus Résumé : Precise dyeing recipe prediction is important in the final colour reproduction of textile dyeing and printing products. Currently, the widely used dyeing recipe prediction methods based on colour tri-stimulus cannot effectively avoid the metamerism phenomenon. An intelligent dyeing recipe prediction model for cotton fabric dyeing is proposed in this paper based on hyperspectral colour measurement and a deep learning algorithm. The hyperspectral colour measurement can obtain three-dimensional spectral information (X, Y and λ) of fabric samples, and can acquire accurate colour values even with uneven samples if the regional correlation algorithm is used. A deep learning algorithm based on an improved recurrent neural network was then employed to establish the model between spectral reflectance and the dyeing recipe. In total, 343 evenly dyed and 20 unevenly dyed fabric samples were dyed using the dyestuffs of Reactive Red CI 238, Reactive Blue CI 204 and Reactive Yellow CI 206, upon which the recipe prediction model was based, established and evaluated. The experimental results show that the proposed model based on hyperspectral colour measurement and our algorithm can provide higher prediction accuracy for Reactive Red CI 238, Reactive Blue CI 204 and Reactive Yellow CI 206. The relative prediction errors are 3.40%, 2.70% and 3.10%, respectively, for these three types of dyeing recipe, while the relative prediction errors are 19.60%, 22.60% and 11.83%, respectively, using the Datacolor 650 recipe prediction model. Note de contenu : - EXPERIMENTAL : Preparation of colour fabric samples - Colour measurement based on the HIS - Reflectance extraction from the HIS image - Experimental dyeing recipe prediction model - RESULTS AND DISCUSSION : Feasibility analysis of the HIS for colour measurement - Results analysis for the RC algorithm - Result analysis of the dyeing recipe prediction models DOI : https://doi.org/10.1111/cote.12516 En ligne : https://onlinelibrary.wiley.com/doi/epdf/10.1111/cote.12516 Format de la ressource électronique : Pdf Permalink : https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=36076 [article]

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Evolving regularised random vector functional link by seagull optimisation algorithm for yarn-dyed fabric colour difference classification / Yufeng Qiu in COLORATION TECHNOLOGY, Vol. 140, N° 3 (06/2024)  

[article]  inCOLORATION TECHNOLOGY > Vol. 140, N° 3 (06/2024) . - p. 467-482 Titre : Evolving regularised random vector functional link by seagull optimisation algorithm for yarn-dyed fabric colour difference classification Type de document : texte imprimé Auteurs : Yufeng Qiu, Auteur ; Zhiyu Zhou, Auteur ; Jianxin Zhang, Auteur Année de publication : 2024 Article en page(s) : p. 467-482 Note générale : Bibliogr. Langues : Anglais (eng) Catégories : Algorithme d'optimisation Les algorithmes d’optimisation cherchent à déterminer le jeu de paramètres d’entrée d’une fonction donnant à cette fonction la valeur maximale ou minimale. On cherchera par exemple la découpe optimale d’une tôle pour en fabriquer le plus grand nombre de boîtes de conserve possible (ou d’un tissu pour en faire le plus grand nombre de chemises possibles, etc.). Cette optimisation peut se faire sans contrainte ou sous contrainte, le second cas se ramenant au premier dans le cas des fonctions dérivables par la méthode du multiplicateur de Lagrange (et des fonctions non-dérivables par l’algorithme d’Everett). - Algorithmes : Le problème est insoluble en tant que tel si l’on ne connaît rien de la fonction (il existe peut-être une combinaison très particulière de valeurs d’entrées lui donnant ponctuellement une valeur extrêmement haute ou basse, qui pourrait échapper à l’algorithme. Aussi existe-t-il plusieurs classes d’algorithmes liés aux différentes connaissances qu’on peut avoir sur la fonction. Si celle-ci est dérivable, l’une des plus performantes est celle du gradient conjugué. Aucune méthode connue en 2004 (à part l’énumération exhaustive ou l’analyse algébrique) ne permet de trouver avec certitude un extremum global d’une fonction. Les extrema déterminables sont toujours locaux à un domaine, et demandent souvent même en ce cas quelques caractéristiques à la fonction, par exemple dans certains cas la continuité. Les métaheuristiques sont une classe d’algorithmes d’optimisation qui tentent d’obtenir une valeur approchée de l’optimum global dans le cas de problèmes d’optimisation difficile. Elles ne donnent cependant aucune garantie sur la fiabilité du résultat. (Wikipedia) Colorimétrie Couleurs -- Classification Textiles et tissus teints Index. décimale : 535.6 Couleur Résumé : To address the issue of low precision in classifying the colour differences of yarn-dyed fabrics and the high cost of manual detection, a colour difference classification method relying on an improved seagull optimisation algorithm (SOA) optimised regularised random vector functional link (RRVFL) model is proposed for dyed fabrics. First, to address the issue of the slow convergence speed of the SOA, the current study optimises the initial SOA group with the marine predators algorithm (MPA) so that it can effectively improve the convergence ability and global optimisation ability of the SOA. Subsequently, the enhanced SOA is applied to fine-tune the parameters of the RRVFL. Compared with the methods that only optimise weights and bias, the proposed algorithm obtained by optimizing the initial group of SOA through the Marine Predators Algorithm (MSOA)-RRVFL model in this paper also increases the optimisation of the number of nodes in the hidden layer and regularisation parameters, which also effectively avoids the issue of the low classification accuracy of the RRVFL model due to random related parameters. Finally, by comparing the RRVFL model with other optimisation algorithms, the experimental outcomes demonstrate that the convergence ability of the improved SOA has been improved, and that the average accuracy of colour difference classification by the MSOA-RRVFL model is as high as 99.79%, and that the classification error fluctuation can be stabilised below 0.2%. In general, the MSOA-RRVFL model displays an excellent performance in terms of stability and significance. Note de contenu : - YARN-DYED FABRIC COLOUR DIFFERENCE CLASSIFICATION WITH RRVFL OPTIMISED BY MSOA : Seagull optimisation algorithm - Marine predators algorithm - RRVFL network - Classifying the dyed fabric colour difference with the proposed MSOA-RRVFL - EXPERIMENTAL RESULTS AND ANALYSIS : Acquisition of the experimental data - Parameter selection for the SOA - Selection of activation function, number of hidden ganglia and regularisation factor of the RRVFL - Stability analysis of the algorithms - Significance analysis - Computing complexity DOI : https://doi.org/10.1111/cote.12722 En ligne : https://drive.google.com/file/d/1t0YQpUySjS2GsCkVUGJV328RF4Z8Imvx/view?usp=drive [...] Format de la ressource électronique : Pdf Permalink : https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=40963 [article]

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A method to improve the performance of wide dye concentration measurement based on the multi-pathlength spectrophotometry / Jianxin Zhang in COLORATION TECHNOLOGY, Vol. 139, N° 1 (02/2023)  

[article]  inCOLORATION TECHNOLOGY > Vol. 139, N° 1 (02/2023) . - p. 117-127 Titre : A method to improve the performance of wide dye concentration measurement based on the multi-pathlength spectrophotometry Type de document : texte imprimé Auteurs : Jianxin Zhang, Auteur ; Zhang Kangping, Auteur ; Huang Xuejiao, Auteur Année de publication : 2023 Article en page(s) : p. 117-127 Note générale : Bibliogr. Langues : Anglais (eng) Catégories : Bains de teinture -- Analyse Bleu (couleur) Colorants Jaune Mesure Violet Index. décimale : 667.3 Teinture et impression des tissus Résumé : Accurate measurement of dye concentration in a dyebath is a basic step for dyeing process control and dyebath reuse. The dyebath usually covers a wide concentration range. In this article, a method based on multi-pathlength spectroscopy was proposed to improve the test performance for wide dye concentration. Partial least squares regression (PLSR) models were constructed on the combined pathlength spectra and evaluation metrics coefficient of determination (R2) and root mean square error (RMSE) were adopted for performance comparison. Results of the single-component experiment at different pathlengths (10, 5, 3, 2 and 1 mm) showed that for CI Acid Violet 54 and CI Acid Blue 113 the introduction of spectra at the 5 mm pathlength yielded greater performance. Further additions of lower pathlengths spectra were not as favourable as that of the 5 mm pathlength spectra for the models based on 10 mm spectra. While the upper concentration limits for three dyestuffs were raised to 0.50 g/L and 5 and 10 mm pathlengths were selected for further analysis, results demonstrated that the introduction of spectra at the 5 mm pathlength generally promoted the test performance for all three dyestuffs. Based on the results of single-component experiment, 10 and 5 mm pathlengths were eventually decided as the detection pathlengths for three-component solutions, and the concentration ranges of CI Acid Yellow 117, CI Acid Violet 54 and CI Acid Blue 113 were 0.03–0.48, 0.03–0.48 and 0.02–0.40 g/L, respectively. Results of three-component experiments suggested that evaluation metrics for the three dyestuffs were raised from 0.409, 0.409 and 0.980 to 0.957, 0.992 and 0.998, respectively, by the multi-pathlength spectroscopy technique. Note de contenu : MATERIALS AND METHODS : Dyestuffs - Instruments - Methods RESULTS AND DISCUSSION : Dye concentration measurement of single-component solutions - Dye concentration measurement of three-component mixed solutions - Table 1 : Abbreviations of combined pathlength - Table 2 : Test results for solutions of CI Acid Yellow 117 - Table 3 : Test results for solutions of CI Acid Violet 54 - Table 4 : Test results for solutions of CI Acid Blue 113 - Table 5 : Concentration levels of the three-component solutions - Table 6 : Test results for three-component solutions based on P2 DOI : https://doi.org/10.1111/cote.12640 En ligne : https://onlinelibrary.wiley.com/doi/epdf/10.1111/cote.12640 Format de la ressource électronique : Pdf Permalink : https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=39210 [article]

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Segmented modelling and analysis of disperse dye concentration based on multidimensional spectrum / Jianxin Zhang in COLORATION TECHNOLOGY, Vol. 140, N° 2 (04/2024)  

[article]  inCOLORATION TECHNOLOGY > Vol. 140, N° 2 (04/2024) . - p. 287-299 Titre : Segmented modelling and analysis of disperse dye concentration based on multidimensional spectrum Type de document : texte imprimé Auteurs : Jianxin Zhang, Auteur ; Xuejiao Huang, Auteur ; Huayan Zheng, Auteur ; Miao Qian, Auteur Année de publication : 2024 Article en page(s) : p. 287-299 Note générale : Bibliogr. Langues : Anglais (eng) Catégories : Analyse quantitative (chimie) Analyse spectrale Colorants -- Analyse Colorants -- Concentration Colorants dispersés Catégorie de colorants très peu solubles dans l'eau, utilisés à l'origine comme colorants pour l'acétate, et qui généralement sont appliqués sous forme de suspensions aqueuses de faible concentration.Les colorants dispersés sont largement utilisés dans la teinture de la plupart des fibres manufacturées, surtout le polyester. Index. décimale : 667.2 Colorants et pigments Résumé : Since the water-insoluble dispersing dye has both absorption and scattering characteristics, a spatial resolution hyperspectral measurement approach and experimental testing was proposed in this article, which can collect spectral and spatial data from samples simultaneously. The concentration of 81 groups of three-component disperse dye samples were measured. However, the hyperspectral data of dye solutions in the 420–800 nm band is saturated, resulting in the inability for multispectral data processing. A segmented concentration quantitative analysis model was developed. For the unsaturated band (420–510 nm), the partial least squares (PLS), the N-way partial least squares (NPLS), and support vector machine (SVM) models using the data points on the X-axis of a two-dimensional light intensity distribution map were established. The predicted performance of PLS model was worse slightly than that of the other two models, The coefficient of determination (R2) values of concentrations for red, orange and blue disperse dye were 0.888, 0.796 and 0.959, respectively. For saturated band (520–670 nm), the NPLS and SVM models using the data points on the X- and Y-axis were established. Results shows that the prediction accuracy of concentrations of the three-component disperse dye was increased by adding additional data points on the Y-axis, with R2 values of 0.944, 0.807, and 0.912, respectively. For the strong scattering band (680–800 nm), a SVM model was established, and R2 of concentration of the three dyes reached 0.974, 0.933 and 0.995, respectively. The results showed that multidimensional spectroscopy method can improve the prediction accuracy of component concentration of disperse dye solution, by using more spectral information from X and Y directions. Note de contenu : - PRINCIPLE AND METHOD : Spatial resolution spectroscopy - Hyperspectral imaging-based spatially resolved spectroscopy acquisition system - Diffusion inversion principle - Least square support vector machine - N-way partial least squares - Quantitative model performance evaluation index - EXPERIMENT : Experimental scheme - Experimental results - ANALYSIS AND PROCESSING OF EXPERIMENTAL DATA : Hyperspectral image feature analysis - Data preprocessing - Dimension reduction of hyperspectral data - Hyperspectral data modelling DOI : https://doi.org/10.1111/cote.12714 En ligne : https://drive.google.com/file/d/1GABFkG4hc667KfNZ3rKUI_qFWe8E8qLJ/view?usp=drive [...] Format de la ressource électronique : Pdf Permalink : https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=40945 [article]

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