13 research outputs found
Modelling of artefacts in estimations of particle size of needle-like particles from laser diffraction measurements
Manufacturing of particulate products across many industries relies on
accurate measurements of particle size distributions in dispersions or powders.
Laser diffraction (or small angle light scattering) is commonly used, usually
off-line, for particle size measurements. The estimation of particle sizes by
this method requires the solution of an inverse problem using a suitable
scattering model that takes into account size, shape and optical properties of
the particles. However, laser diffraction instruments are usually accompanied
by software that employs a default scattering model for spherical particles,
which is then used to solve the inverse problem even though a significant
number of particulate products occur in strongly non-spherical shapes such as
needles. In this work, we demonstrate that using the spherical model for the
estimation of sizes of needle-like particles can lead to the appearance of
artefacts in the form of multimodal populations of particles with size modes
much smaller than those actually present in the sample. This effect can result
in a significant under-estimation of the mean particle size and in false modes
in estimated particles size distributions.Comment: 28 pages 8 figures accepted in the journal of Chemical Engineering
Scienc
Apparent Fracture in Polymeric Fluids under Step Shear
Recent step strain experiments in well-entangled polymeric liquids
demonstrated a bulk fracture-like phenomenon. We have studied this instability
using a modern version of the Doi-Edwards theory for entangled polymers, and we
find close quantitative agreement with the experiments. The phenomenon occurs
because the viscoelastic liquid is sheared into a rubbery state that possesses
an elastic constitutive instability (Marrucci and Grizzuti, 1983). The fracture
is a transient manifestation of this instability, which relies on the
amplification of spatially inhomogeneous fluctuations. This mechanism differs
from fracture in glassy materials and dense suspensions.Comment: 5 pages,3 figures. Accepted in the Physical Review Letter
Image analysis framework with focus evaluation for in situ characterisation of particle size and shape attributes
Particle processing industries, such as pharmaceutical, food processing and consumer goods sectors, increasingly require strategies to control and engineer particle attributes. In both traditional batch and continuous processes, particle size and shape need to be effectively monitored through in-line measurements from Process Analytical Technologies. However, obtaining quantitative information from these measurements has proven to be challenging and in-line imaging techniques are primarily used for qualitative purposes. Two key challenges are: (1) the presence of out-of-focus objects and (2) images only represent 2D projections of three-dimensional objects. In this work, a novel framework to process frames from in-line imaging probes incorporates a focus evaluation step in order to extract meaningful quantitative shape and size information through rejection of out-of-focus particles. Furthermore, a model is proposed that simulates the 2D projection of three-dimensional particles onto the focal plane and computes the corresponding size and shape distributions. The framework is quantified and evaluated against standard particles of well-defined size and shape such as polystyrene microspheres and needle-like cuboid silicon particles
The role of in-line image analysis in the transition to continuous manufacturing in the pharmaceutical industry
In recent years, the pharmaceutical industry is seeing a movement towards the implementation of more efficient continuous manufacturing. This shift requires the development of in-line process analytical technologies to monitor and control the process at any given time. However, extracting reliable information from these sensors is a challenge. Among the available technologies, in-line image analysis is quickly gaining importance. This work presents an image analysis framework developed to address one of the main challenges of in-line image analysis: the presence of out-of-focus particles. Through two relevant examples such as the characterisation of a system of microparticles of mixed shapes and the monitoring of a common operation in the pharmaceutical industry such as the wet milling process, the benefits of incorporating this technique are assessed. The realtime analysis of imaging data in combination with other simultaneously-acquired quantitative data streams enables the user to make informed decisions and implement enhanced control strategies
Estimation of particle size distribution and aspect ratio of non-spherical particles from chord length distribution
Information about size and shape of particles produced in various manufacturing processes is very important for process and product development because design of downstream processes as well as final product properties strongly depend on these geometrical particle attributes. However, recovery of particle size and shape information in situ during crystallisation processes has been a major challenge. The focused beam reflectance measurement (FBRM) provides the chord length distribution (CLD) of a population of particles in a suspension flowing close to the sensor window. Recovery of size and shape information from the CLD requires a model relating particle size and shape to its CLD as well as solving the corresponding inverse problem.This paper presents a comprehensive algorithm which produces estimates of particle size distribution and particle aspect ratio from measured CLD data. While the algorithm searches for a global best solution to the inverse problem without requiring further a priori information on the range of particle sizes present in the population or aspect ratio of particles, suitable regularisation techniques based on relevant additional information can be implemented as required to obtain physically reasonable size distributions. We used the algorithm to analyse CLD data for samples of needle-like crystalline particles of various lengths using two previously published CLD models for ellipsoids and for thin cylinders to estimate particle size distribution and shape. We found that the thin cylinder model yielded significantly better agreement with experimental data, while estimated particle size distributions and aspect ratios were in good agreement with those obtained from imaging
Modelling of artefacts in estimations of particle size of needle-like particles from laser diffraction measurements
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