Patel M K

Patel M K: MSc, Phd, Cmath, FIMA.

Reader: Computational Fluid Dynamics

Co-director: Centre for Numerical Modelling and Process Analysis

Background Research Interests Current Research Projects Summary of Research Interests My Hobby Course Related

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Background:

I have been at the University of Greenwich since 1982, except for a period of two years when I was at CHAM , the developer of PHOENICS , a Computational Fluid Dynamics code. I am currently a Reader in Computational Fluid Dynamics at the University. I teach both Degree and Masters courses as well as supervise research students, in the School of Computing and Mathematical Sciences Over the years I have used a number of Commercial CFD packages. These include for example Phoenics, Flow-3D, CFX, Fluent, Smartfire, Vortex, and Physica

Brief CV

Research Interests:

My main research interests lie in all aspects of Computational Fluid Dynamics (CFD). This includes work on the numerical aspects of differencing schemes, which resulted in the formulation of a flow-oriented scheme, called Corner UPwInDing (CUPID). The newly formulated finite-volume scheme CUPID reduces "False-Diffusion" and predicts bounded solutions which are more accurate than conventional schemes. Other interests also include the development and implementation of numerical algorithms for multi-phase flows applicable to gas-solids systems. This has resulted in the development of a modified Inter-Phase Slip Algorithm termed as Multi-Inter-Phase Slip Algorithm (MIPSA). The new algorithm was imbedded within a two-dimensional, turbulent, multi-phase fluid-flow code developed within the Centre for Numerical Modelling and Process Analysis, called CASCADE. The main purpose of the code was to model metallurgical processes, for example, conventional and fast fluidized beds, blast furnaces, lead smelting rotary kilns, packed beds and other processes. Experience in modelling other engineering processes includes for example, biochemical stirred tank reactors, activated sewage sludge tanks, fluidized bed risers, free and forced ventilation in micro-gravity, simulation of smouldering fires under micro-gravity conditions, gas-solids pneumatic-conveying together with phenomena such as heat and mass transfer, combustion, radiation, and turbulence. Over the past few years, I have been involved in the development and implementation of structured adaptive grid procedures for aerospace applications. The primary application being for shock capturing. This method can also be applied more generally for capturing sharp gradients in other application areas, for example moving interfaces. This adaptive procedure is implemented in a general purpose commercial computational fluid dynamics package called PHOENICS. I am currently looking into the application of Neural Networks to further enhance the adaptive techniques and try and fully automate them. During this time, I have also been working on the development of new and simple ways of FLOW VISualisation for computational fluid dynamics data which has resulted in a package called FLOWVIS. This has further been enhanced with a suitable, easy to use, user-interface.

Current Research Projects:

Modelling of Extract Hoods for Industrial Applications
Modelling of a Reclaiming Process for Platinum within Catalytic Converters
Modelling of Large Stirred Tanks for Metals Processing
Modelling of Flows in Human Arteries
Implementation of a Spring Based Adaptive Mesh Technique within C++ CFD Engine for Fire Applications
Development of CAD filters for CFD Applications with VR capability
Development of a Model to Predict the Life of Pneumatic Convayor Bends Subject to Erosive Wear
Development of a model to predict the efficiency of Volumatic spacers used with Inhaler Devices
Development s model for tracking packets of particles within an unstructured CFD code

Development a novel mesh generator, based on global objects, for CFD applications

Quality in Particulate Manufacturing (QPM) is a research programme with an objective to integrate a range of analytical and process modelling tools with laboratory based experiments to design out the key problems (segregation, agglomeration and degradation) which compromise the operation of particulate based manufacturing processes and the quality of the resulting products.