Note: This content is accessible to all versions of every browser. However, this browser does not seem to support current Web standards, preventing the display of our site's design details.

  

Agglomeration of Needle-like Crystals in Suspension: I. Measurements

Author(s):

D. Ochsenbein, T. Vetter, S. Schorsch, M. Morari, M. Mazzotti
Conference/Journal:

Crystal Growth & Design, vol. 15, no. 4, pp. 1923-1933
Abstract:

A technique for the detection and measurement of the agglomeration of needle-like particles is presented. A novel image analysis routine, based on a supervised machine learning strategy, is used to identify agglomerates that are subsequently characterized by their volume. Through repeated measurement of a large number of agglomerates, a 1D particle size distribution of agglomerates is reconstructed. Concurrently, established tools are used to characterize needle-like primary crystals, whose shape is described by cylinders and whose population can be described by a separate, two-dimensional particle size and shape distribution. The performance of the classifier is evaluated and the reproducibility of the measurement demonstrated for the case of beta L-glutamic acid. For the same system, the agglomeration behavior is studied for varying operating conditions and general trends are analyzed.

Year:

2015
Type of Publication:

(01)Article
Supervisor:



File Download:

Request a copy of this publication.
(Uses JavaScript)
% Autogenerated BibTeX entry
@Article { OchEtal:2015:IFA_5118,
    author={D. Ochsenbein and T. Vetter and S. Schorsch and M. Morari and M.
	  Mazzotti},
    title={{Agglomeration of Needle-like Crystals in Suspension: I.
	  Measurements}},
    journal={Crystal Growth \& Design},
    year={2015},
    volume={15},
    number={4},
    pages={1923--1933},
    month=mar,
    url={http://control.ee.ethz.ch/index.cgi?page=publications;action=details;id=5118}
}
Permanent link