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Home / Issues / № 2, 2015

Engineering

COMPUTER SIMULATION AND CLASSIFICATION OF THE PROPERTIES OF THE MULTICOMPONENTED COATING SUSPENSION
Pen R.Z., Chendylova L.V, Shapiro I.L.

Dependences of properties are studied of multi-component coating suspension and coated paper from the parts of  chalk, talc, kaolin, consisting in the pigment, and   Na-carboxymethyl-cellulose (CMC), butadienstirol (BDS), polyvinylacetate (PVA), consisting in the binder.

By variation of the pigment’s proportion and of the binder’s proportion in the coating suspension composition was  received 49 samples of the coating suspension (CS) and coated paper (CP). Studied properties: Y1 – effective viscosity of the  CS; Y2 – index of current (the level of anomalous current) CS;  Y3 – activation energy current CS; Y4 – conditional viscosity CS; Y5 – water-holding capacity CS; Y6 – density CP;  Y7 – coating mass CP; Y8 – resistance to breaking CP; Y9 – air-penetration CP; Y10 – wettability of coating; Y11 – rigidity CP. Mathematical models (regression equations of the third degree) used to present the results in the form of ternarnal graphs of response surfaces.

Dependences of all properties from the pigment composition are additivity and accordance with a priori information.  Effects of interaction of the first and higher orders are not determined.

Dependences of the studied properties from the binder composition is more essential, and in most cases is non-linear. Significant influence effects of the CMC-PVA parties: synergetic – on the activation energy flow of suspension, and antagonistic – on the rigidity of coated paper.

Possibility of union (clustering) eleven properties Y1...Y11 of coating suspension and coated paper was studied. Cluster analysis was carried out by Ward’s method using normalized values of variables (properties) and the Square Euclidean distance as a metric. Possibility of the properties grouping to value of «geometric distances» between them in to three cluster A, B and C was determined.  Properties Y1, Y3, Y4, Y11 was attributed to cluster A;  properties Y2, Y9, Y10  –  to cluster B; properties Y5, Y6, Y7, Y8 – to cluster C.

Вy the method of the multivariate factorial analysis investigated structure correlative relationships between eleven characteristics Y1...Y11.  The factorial loadings on variable have calculated by the method of the minres, for the ortogonal transformation (the rotations) factors space used the varimax criterion. Have been installed possibility of attraction three latent factors for explanation 65.6 % total dispersion normalized variable. The most loadings of the first latent factor account for variable Y1, Y3, Y4, Y7, Y10 and Y11, its nature is interpreted, as relation of the parties KMC and BDS in binder composition. The second factor is negatively connected with Y9, it is interpreted, as a part of the kaolin in composition of the pigment. The nature of the third factor is connected with part PVA in the binder composition, its influence was reflected on variable Y2 and Y5.

Obtained the models allow to predict an important characteristics of suspensions and coated papers and allow to  decide problems to optimization. Possibility of the «curtailance» of 11-dimensional space of the measured properties of objects up to 3-dimensional space of their «clustering properties» can be used when you select optimization parameters and the optimality criteria of  the technological processes of the coating over paper.



Bibliographic reference

Pen R.Z., Chendylova L.V, Shapiro I.L. COMPUTER SIMULATION AND CLASSIFICATION OF THE PROPERTIES OF THE MULTICOMPONENTED COATING SUSPENSION. International Journal Of Applied And Fundamental Research. – 2015. – № 2 –
URL: www.science-sd.com/461-24877 (28.03.2024).