FREE PhD study and funding virtual fair REGISTER NOW FREE PhD study and funding virtual fair REGISTER NOW

DEVELOPMENT OF KINETIC-THEORY BASED CONSTITUTIVE MODELS FOR EULERIAN-EULERIAN MODELLING OF COHESIVE GRANULAR FLOWS


   School of Engineering

This project is no longer listed on FindAPhD.com and may not be available.

Click here to search FindAPhD.com for PhD studentship opportunities
  Dr Aditya Karnik, Prof Mamdud Hossain  No more applications being accepted  Competition Funded PhD Project (Students Worldwide)

About the Project

Robert Gordon University, through the School of Engineering is offering a PhD studentship, within the Energy Research Group.

 

Fluidized beds find numerous applications in a variety of industries including Pharmaceutical, Food Processing and Oil & Gas applications. Fluidized bed is basically a multiphase system comprising a bed of closely packed particles which is aerated by passing a gas through it.

The size of particles encountered in these applications span from the very fine (order of microns) to coarse (order of mm). The surface of the particles may become charged due to particle attrition resulting from recurring collisions with other neighbouring particles and the walls of the containing vessel. Charged particles are more prone to agglomeration due to Van der Waals effect. Clustering of particles could also be induced by the turbulent eddies in the gas medium in conjunction with the electrical properties of the particles. The clustering of particles impacts the efficiency of these energy conversion systems.

The objective of the study is to identify the clustering mechanisms and the proposed project will focus on simulations of gas-particle flows spanning a range of Reynolds and particle Stokes numbers. A novel Kinetic Theory Granular Flow (KTGF) framework to model behaviour of adhesive particles at high volume fractions will be developed. The developed framework will enable elucidation of the mechanism of transfer of particulate energy between different scales of motion. The novel granular model will be validated using experimental data available in literature.

Desirable skills and knowledge: Knowledge or experience of simulation techniques and/or scientific programming will be advantageous.

Applications should be emailed to Dr. Aditya Karnik at [Email Address Removed]

The applications should consist of a covering letter or personal statement of interest, academic transcripts and a CV.

It is expected that candidates are available to register and commence study on 01 Feb 2023. In addition, the successful candidate will be expected to submit publications to refereed journals and to present their findings at international conferences.

Questions should initially be addressed to:

Dr. Aditya Karnik

School of Engineering, Robert Gordon University, Sir Ian Wood Building, Garthdee Campus, Aberdeen, AB10 7GJ United Kingdom

T: +44 (0) 1224 - 263335

E: [Email Address Removed]

W: https://www.rgu.ac.uk/

 

Entry Requirements

Applicants should have a First- or Second-Class UK honours degree, or equivalent, in a relevant discipline such as Mechanical Engineering, Aerospace Engineering or Chemical Engineering. An MSc in a relevant subject is desirable. Knowledge or experience of simulation techniques and/or scientific programming will be advantageous.

Keywords: Computational Fluid Dynamics, Granular Flow, Turbulence modelling, Circulating fluidized beds, Two-fluid model


Funding Notes

Applicants are eligible for a fee waiver studentship for the duration of the 3 years. This studentship will cover the tuition fees only for qualified home or overseas students. Interested candidates will have to secure their own financial support to support their living costs during the duration of the PhD study.

How good is research at Robert Gordon University in Engineering?


Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities
Search Suggestions
Search suggestions

Based on your current searches we recommend the following search filters.

PhD saved successfully
View saved PhDs