Dr Josh Starrett

Dr Josh Starrett

Research Associate

School of Engineering (Chemical Engineering)

Career Summary

Biography

Dr Josh Starrett completed his PhD in Chemical Engineering in 2025 at the University of Newcastle as a part of the ARC Centre of Excellence for Enabling Eco-Efficient Beneficiation of Minerals. His research focused on the application of the REFLUX Classifier in the hydrodynamic classification of particles by particle size. He has continued on as a Research Associate working on the REFLUX Classifier and related technologies.

Qualifications

  • DOCTOR OF PHILOSOPHY IN CHEMICAL ENGINEERING, University of Newcastle
  • Bachelor of Chemical Engineering (Honours), University of Newcastle

Keywords

  • chemical engineering
  • mineral processing
  • particle classification

Fields of Research

Code Description Percentage
401904 Mineral processing/beneficiation 100

Professional Experience

UON Appointment

Title Organisation / Department
Research Associate University of Newcastle
School of Engineering
Australia
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Publications

For publications that are currently unpublished or in-press, details are shown in italics.


Conference (1 outputs)

Year Citation Altmetrics Link
2024 Diba MF, Starrett J, Weatherley D, Runge K, Galvin K, 'A Computational Study on the Hydrodynamics and Particle Transport in a Laboratory-Scale Reflux Classifier', XXXI International Mineral Processing Congress 2024 Proceedings, 1986-1996 (2024) [E1]
Co-authors Kevin Galvin

Journal article (4 outputs)

Year Citation Altmetrics Link
2025 Starrett JB, Galvin KP, 'Application of inclined channels in the hydrodynamic classification of minerals by particle size – Part III – Extension to high volumetric feed fluxes and low concentrations', Minerals Engineering, 231 (2025) [C1]
DOI 10.1016/j.mineng.2025.109417
Co-authors Kevin Galvin
2025 Starrett JB, Iveson SM, Galvin KP, 'Empirical evidence for Fermi-Dirac classification of minerals by particle size', Minerals Engineering, 227 (2025) [C1]

In mineral processing, partition curves are used to describe the probability of a particle of a given size or density reporting to the overflow or the underflow stream.... [more]

In mineral processing, partition curves are used to describe the probability of a particle of a given size or density reporting to the overflow or the underflow stream. One simple descriptor is the Rosin-Rammler (Weibull) functional form, based on a sharpness parameter, a. An alternative descriptor was introduced by Scott and Napier-Munn (1992) based on the simplified Whiten equation expressed in terms of the Ecart probable, Ep. Curiously, this simplified Whiten equation has functional equivalence to the Fermi-Dirac distribution (Fermi, 1926; Dirac, 1926), an exact equation used in quantum mechanics to describe the probability of Fermions residing in either the valency or the conduction band. In this study, the particle size classification data from Starrett and Galvin (2023), produced using the REFLUX¿ Classifier, provided powerful empirical evidence supporting the application of the simplified Whiten equation over the commonly used Rosin-Rammler function. The raw data adhered to the simplified Whiten equation over a range of ± 5Ep, much wider than the Rosin-Rammler function. Hence the simplified Whiten equation, with its equivalence to the fundamental Fermi-Dirac distribution, offers prospects for a stronger theoretical framework for describing the role of a hydrodynamic driving force in particle size classification.

DOI 10.1016/j.mineng.2025.109277
Co-authors Kevin Galvin
2025 Starrett JB, Galvin KP, 'Application of inclined channels in the hydrodynamic classification of minerals by particle size - Extension to coarser separations', MINERALS ENGINEERING, 222 (2025) [C1]

A REFLUX¿ Classifier was used to classify a silica feed (0¿710 µm) based on particle size. Split Fluidisation was used to generate remarkably sharp separations involvin... [more]

A REFLUX¿ Classifier was used to classify a silica feed (0¿710 µm) based on particle size. Split Fluidisation was used to generate remarkably sharp separations involving solids throughputs of up to 92 t/m2/h. This work builds on the previous study by Starrett and Galvin (2023) but with a focus on coarser separations at higher throughputs. As the separation size increased, there was increasing misplacement of fine particles in excess of 75 µm into the coarse underflow stream. This problem was averted by halving the cross-sectional area of the lower section of the REFLUX¿ Classifier. This change led to a doubling of the superficial fluid velocity in the lower section for a given set of flow rates, ensuring fine particles were unable to settle into the coarse underflow. In general, the separations performed in this study show complete closure of the partition curve at both the coarse and fine ends. It was also found that to deliver sharp separations it is essential to introduce sufficient water to the separator, per unit of solids transport to the overflow, especially for higher solids throughputs with coarser separations. Although the fluidisation rate can be used to control the separation size at finer separations (below 180 µm) and lower throughputs, ultimately the bias flux provides the basis for controlling the separation size at coarser sizes and higher throughputs.

DOI 10.1016/j.mineng.2024.109114
Citations Scopus - 2
Co-authors Kevin Galvin
2023 Starrett JB, Galvin KP, 'Application of inclined channels in the hydrodynamic classification of minerals by particle size', MINERALS ENGINEERING, 195 (2023) [C1]

This study utilised a REFLUX¿ Classifier, with water as the fluidising medium, to classify feed suspensions based on particle size. This work built on an earlier approa... [more]

This study utilised a REFLUX¿ Classifier, with water as the fluidising medium, to classify feed suspensions based on particle size. This work built on an earlier approach, known as Split Fluidisation, to achieve sharp separations, focussing on the potential to control the separation size, and to deliver efficient separations at high throughputs. The partition curves were remarkably sharp, with the Imperfection, I = Ep/D50, typically less than 0.14 for separation sizes covering a range from 182 µm down to 44 µm, with virtually no ultrafine entrainment with the coarse underflow, and virtually no oversize particles misplaced in the overflow. The solids throughputs ranged from 39 t/m2/h down to 8 t/m2/h. Importantly, the study achieved a deeper understanding of how to control the separation size, with the fluidisation velocity identified as the key control variable. The underflow rate is then increased to a level sufficient to prevent the bed level from rising, while ensuring the solids throughput is below the limit applicable for a given separation size.

DOI 10.1016/j.mineng.2023.108002
Citations Scopus - 1Web of Science - 6
Co-authors Kevin Galvin
Show 1 more journal article

Preprint (2 outputs)

Year Citation Altmetrics Link
2025 Starrett JB, Iveson SM, Galvin KP, 'Empirical Evidence for Fermi-Dirac Classification of Minerals by Particle Size' (2025)
DOI 10.26434/chemrxiv-2025-v3c87
Co-authors Kevin Galvin
2025 Awuye D, Amosah M, Starrett J, Rodrigues A, Galvin K, 'Hydrodynamic Classification of a Binary Density Feed with No By-Pass' (2025)
DOI 10.26434/chemrxiv-2025-kfhv9
Co-authors Kevin Galvin

Thesis / Dissertation (1 outputs)

Year Citation Altmetrics Link
2025 Starrett J, 'Application of the REFLUX™ classifier in the hydrodynamic classification of minerals by particle size'
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Dr Josh Starrett

Position

Research Associate
ARC Centre of Excellence for Enabling Eco-Efficient Beneficiation of Minerals
School of Engineering
College of Engineering, Science and Environment

Focus area

Chemical Engineering

Contact Details

Email josh.starrett@newcastle.edu.au

Office

Room NIERA206
Building NIER Block A
Location Callaghan Campus
University Drive
Callaghan, NSW 2308
Australia
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