Applications of AMT (Angle Measure Technique) in image analysis Part II: Prediction of powder functional properties and mixing components using, multivariate AMT regression (MAR)
J. Huang et Kh. Esbensen, Applications of AMT (Angle Measure Technique) in image analysis Part II: Prediction of powder functional properties and mixing components using, multivariate AMT regression (MAR), CHEM INTELL, 57(1), 2001, pp. 37-56
This paper presents a novel way to predict the bulk powder characteristics
from unilaterally illuminated powders using Angle Measure Technique (AMT) i
mage analysis in combination with multivariate calibration. It is demonstra
ted that the AMT transform can account for the complexity of images in the
scale domain and be used as a strong preprocessing facility for multivariat
e regression modeling. The concept of multivariate AMT regression has been
proposed for this purpose. A wide variety of types of powders was collected
in order to study the reliability, reproducibility and representativity of
the methods. PLS models have been established to quantitatively predict ke
y physical and behavioral powder properties such as particle size, density.
minimum fluidization velocity, wall friction angle, and angle of repose. F
inally, a first attempt at prediction of mixing component fractions in powd
er mixtures has also been implemented, which can be used for on-line monito
ring of many types of mixing process if fast digital imaging is available.
(C) 2001 Elsevier Science B.V. All rights reserved.