Projects per year
Personal profile
Research interests
My research focuses upon the mathematical modelling of dispersed multiphase flows, with an emphasis on capturing the effects of unsteadiness or turbulence in the carrier flow upon droplets and particles.
Probability density function (PDF) models can be used to approach this, and construct a statistical description by treating the dispersed phase as a continuum. To produce closure relations that are able to account for the desired physical effects, a variety of stochastic modelling techniques are utilised. Kinematic simulation is a useful computational method which is ideal as a first test case for the developed closures.
Polydisperse droplet flows are very computationally demanding to simulate both directly and statistically, and recent work has focused upon using the Full Lagrangian Approach (FLA) to improve the efficiency of simulations. This has involved the development of novel numerical methods which use statistical learning to reconstruct a continuum representation of the dispersed phase at a reduced computational expense.
Supervisory Interests
I am interested in supervising research projects within the broad domain of fluid dynamics modelling. This encompasses both mathematical modelling to extract physical relationships that exist within flows, and numerical modelling to enable and improve the simulation of flows. My main focus is the study of dispersed multiphase flows, where the use of statistical descriptions for the dispersed phase is an active area of research in the development of numerical and mathematical models which are both computationally efficient and accurate. Also of interest is the development of turbulence models that are able to account for the physical effects present in specialised flow configurations.
Education/Academic qualification
PhD, Improved modelling of disperse multi-phase transport based on numerical simulation and PDF analysis, Newcastle University
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Collaborations and top research areas from the last five years
Projects
- 1 Active
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NGSSM: Next generation spray simulation model
Rybdylova, O., Begg, S., Pannala, A. & Stafford, C.
1/02/21 → 31/01/26
Project: Research Councils / Government Depts.
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Robust interpolation for dispersed gas‐droplet flows using statistical learning with the fully Lagrangian approach
Stafford, C. P. & Rybdylova, O., 5 Jul 2023, In: International Journal for Numerical Methods in Fluids. 95, 11, p. 1756-1790 35 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Application of the Fully Lagrangian Approach to unsteady polydisperse gas-droplet flow simulations with inter-phase coupling
Stafford, C. & Rybdylova, O., 6 Sept 2022, p. 94. 1 p.Research output: Contribution to conference › Abstract
Open Access -
Capturing the mechanisms for gravitational settling of inertial particles in turbulence using the kinetic PDF approach
Stafford, C., Swailes, D. & Reeks, M., 29 Aug 2022, p. 1. 1 p.Research output: Contribution to conference › Abstract
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Meshfree number density field reconstruction for two-way coupling of particle-laden flows using the Fully Lagrangian Approach
Stafford, C. & Rybdylova, O., 12 Sept 2022, p. 1. 1 p.Research output: Contribution to conference › Abstract
Open Access -
Modelling of respiratory aerosol dispersion using the Fully Lagrangian Approach
Stafford, C. & Rybdylova, O., 13 Jun 2022.Research output: Contribution to conference › Other
Activities
- 1 Outreach and Public Engagement
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STEM for Britain
Chris Stafford (Participant)
7 Mar 2022Activity: Events › Outreach and Public Engagement