Assessment of turbulence model predictions for a centrifugal compressor simulation

Steady-state computational fluid dynamics (CFD) simulations are an essential tool in the design process of centrifugal compressors. Whilst global parameters, such as pressure ratio and efficiency, can be predicted with reasonable accuracy, the accurate prediction of detailed compressor flow fields is a much more significant challenge. Much of the inaccuracy is associated with the incorrect selection of turbulence model. The need for a quick turnaround in simulations during the design optimisation process, also demands that the turbulence model selected be robust and numerically stable with short simulation times.
In order to assess the accuracy of a number of turbulence model predictions, the current study used an exemplar open CFD test case, the centrifugal compressor ‘Radiver’, to compare the results of three eddy viscosity models and two Reynolds stress type models. The turbulence models investigated in this study were (i) Spalart-Allmaras (SA) model, (ii) the Shear Stress Transport (SST) model, (iii) a modification to the SST model denoted the SST-curvature correction (SST-CC), (iv) Reynolds stress model of Speziale, Sarkar and Gatski (RSM-SSG), and (v) the turbulence frequency formulated Reynolds stress model (RSM-ω). Each was found to be in good agreement with the experiments (below 2% discrepancy), with respect to total-to-total parameters at three different operating conditions. However, for the off-design conditions, local flow field differences were observed between the models, with the SA model showing particularly poor prediction of local flow structures. The SST-CC showed better prediction of curved rotating flows in the impeller. The RSM-ω was better for the wake and separated flow in the diffuser. The SST model showed reasonably stable, robust and time efficient capability to predict global and local flow features.

Computational approaches and tools for modeling biomass pyrolysis

Thesis (Ph.D.)--University of Washington, 2016-08

Validazione del modello di film fluido implementato in OpenFOAM

Le prestazioni dei motori a combustione interna sono fortemente influenzate dalla formazione di un film fluido, a seguito dell'impatto di uno spray con una parete. Nell'ottica di favorire la formazione della miscela e di ridurre le emissioni, lo studio approfondito di tale fenomeno deve essere supportato da un processo di simulazione assistita dal calcolatore. Pertanto, la Fluidodinamica Computazionale (Computational Fluid Dynamics, CFD) ed i modelli ad essa associati rappresentano al giorno d'oggi uno strumento vantaggioso e sempre più utilizzato. In questo ambito si colloca il presente lavoro di tesi, che si propone di validare il modello di film fluido implementato nel software OpenFOAM-2.3.0, confrontando i risultati ottenuti, in termini di altezza del film fluido, con quelli del caso sperimentale di Le Coz et al.

Realizzazione e messa a punto degli impianti di raffreddamento e lubrificazione per una vettura di Formula SAE tramite analisi termofluidodinamica e acquisizione di telemetria in pista

L’obiettivo di questa tesi è illustrare quali siano stati i metodi di studio e le soluzioni adottate per ottimizzare gli impianti di raffreddamento e lubrificazione della monoposto da competizione sviluppata dal team Unibo Motorsport, in preparazione alla stagione di gara 2016 della Formula SAE®. Inizialmente saranno analizzate le principali problematiche di entrambi gli impianti attraverso simulazioni CFD (Computational Fluid Dynamics) e dati telemetrici degli anni passati. In seguito, saranno mostrati i diversi procedimenti di progettazione e il completamento degli impianti unitamente ad una loro valutazione economica. Infine, per verificare l’effettivo successo delle operazioni svolte a bordo vettura, verranno mostrate acquisizioni telemetriche relative alle gare ed altre simulazioni relative alle nuove geometrie sviluppate. Un altro obiettivo della trattazione è mettere a disposizione dei futuri membri del reparto motore un documento che contenga tutte le considerazioni fatte a riguardo degli impianti studiati. Questo è fondamentale all’interno di un ambiente come un team di Formula SAE®, dove ogni anno si ha il ricambio di una buona parte dei membri. Se gli studi svolti sugli impianti venissero persi, i nuovi arrivati si troverebbero a mettere le mani su un qualcosa di sconosciuto e lo sviluppo della vettura negli anni si troverebbe enormemente rallentato. Il “learning by doing” che ha sempre caratterizzato questo progetto viene infatti affiancato con armonia dalla possibilità di consultare esperienze pregresse relative al caso di studio considerato.

Heat transfer by impinging jets on a moving strip

This paper deals with heat transfer on a moving plate by mean of an impinging jet. Three different turbulence models are used and it turns out that Lam-Bremhorst model is in good agreement with measurements when Re is lower that 5000. In case of moving strip (ratio m=V strip/V jet lower than 1/3), there is almost no effect of m on Nusselt distribution in the stagnation region.

The FIREDASS (Fire Detection and Suppression Simulation) Model

The FIREDASS (FIRE Detection And Suppression Simulation) project is concerned with the development of fine water mist systems as a possible replacement for the halon fire suppression system currently used in aircraft cargo holds. The project is funded by the European Commission, under the BRITE EURAM programme. The FIREDASS consortium is made up of a combination of Industrial, Academic, Research and Regulatory partners. As part of this programme of work, a computational model has been developed to help engineers optimise the design of the water mist suppression system. This computational model is based on Computational Fluid Dynamics (CFD) and is composed of the following components: fire model; mist model; two-phase radiation model; suppression model and detector/activation model. The fire model - developed by the University of Greenwich - uses prescribed release rates for heat and gaseous combustion products to represent the fire load. Typical release rates have been determined through experimentation conducted by SINTEF. The mist model - developed by the University of Greenwich - is a Lagrangian particle tracking procedure that is fully coupled to both the gas phase and the radiation field. The radiation model - developed by the National Technical University of Athens - is described using a six-flux radiation model. The suppression model - developed by SINTEF and the University of Greenwich - is based on an extinguishment crietrion that relies on oxygen concentration and temperature. The detector/ activation model - developed by Cerberus - allows the configuration of many different detector and mist configurations to be tested within the computational model. These sub-models have been integrated by the University of Greenwich into the FIREDASS software package. The model has been validated using data from the SINTEF/GEC test campaigns and it has been found that the computational model gives good agreement with these experimental results. The best agreement is obtained at the ceiling which is where the detectors and misting nozzles would be located in a real system. In this paper the model is briefly described and some results from the validation of the fire and mist model are presented.

A generic strategy for dynamic load balancing of distributed memory parallel computational mechanics using unstructured meshes

A large class of computational problems are characterised by frequent synchronisation, and computational requirements which change as a function of time. When such a problem is solved on a message passing multiprocessor machine [5], the combination of these characteristics leads to system performance which deteriorate in time. As the communication performance of parallel hardware steadily improves so load balance becomes a dominant factor in obtaining high parallel efficiency. Performance can be improved with periodic redistribution of computational load; however, redistribution can sometimes be very costly. We study the issue of deciding when to invoke a global load re-balancing mechanism. Such a decision policy must actively weigh the costs of remapping against the performance benefits, and should be general enough to apply automatically to a wide range of computations. This paper discusses a generic strategy for Dynamic Load Balancing (DLB) in unstructured mesh computational mechanics applications. The strategy is intended to handle varying levels of load changes throughout the run. The major issues involved in a generic dynamic load balancing scheme will be investigated together with techniques to automate the implementation of a dynamic load balancing mechanism within the Computer Aided Parallelisation Tools (CAPTools) environment, which is a semi-automatic tool for parallelisation of mesh based FORTRAN codes.