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Closed SPARSE—A predictive particle cloud tracer by Daniel Domínguez-Vázquez; Bjoern F. Klose; Gustaaf B. Jacobs is a Engineering article available to read on EtoBox.
What is Closed SPARSE—A predictive particle cloud tracer about?
A closed and predictive particle cloud tracer method is presented that models the mean motion and deformation of a cloud of inertial particles at a singular point in space and along its Lagrangian trajectory in time. The tracer builds upon the Subgrid Particle-Averaged Reynolds Stress Equivalent (SPARSE) formulation first introduced in Davis et al. (2017) for the tracing of particle clouds. It was later extended to a Cloud-In-Cell (CIC) formulation in Taverniers et al. (2019) using a Gaussian distribution of a cloud’s influence over a mesh-based, velocity field solution. SPARSE corrects the cloud’s trace to second order by combining a Taylor series expansion of the drag coefficient and Nusselt number correction factors around the mean relative velocity of a cloud of particles with a Reynolds decomposition of the particle equations to obtain a governing system for the first two statistical moments of the cloud’s position, velocity and temperature. Here, we close the thus far unclosed SPARSE formulation by determining the velocity field in the vicinity of the mean cloud location using a truncated Taylor series velocity representation and by combining that with averaging. The resultin
Who reads Closed SPARSE—A predictive particle cloud tracer?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- Daniel Domínguez-Vázquez; Bjoern F. Klose; Gustaaf B. Jacobs
- Publisher
- Elsevier BV
- Published
- 2023
- Language
- EN
- Field
- Engineering (Physical Sciences)