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PX921-10 Micro & Nano Flows across Scales & Phases (PX921-10)

Department
Physics
Level
Taught Postgraduate Level
Credit value
10
Module duration
10 weeks
Assessment
60% coursework, 40% exam
Study location
University of Warwick main campus, Coventry

Introductory description

N/A.

Module web page

Module aims

Provide students with techniques to model small-scale flows, which necessitate the inclusion of complex interfacial dynamics and the adoption of theories that go beyond the Navier-Stokes-Fourier paradigm. Introduce students to multiscale modelling methods that connect microscopic physics to engineering-scale system properties.

Outline syllabus

This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.

The module will cover two of the topics listed below, which will differ from year to year.

Topic 1: Interfacial phenomena
a. formulation of surface tension driven flows
i. dynamic BC, kinematic BC, Young’s law
b. exemplars
i. statics (capillary rise, Young-Laplace equation)
ii. dynamics (stability of jets/films, cavitation of bubbles, thin films)
iii. wetting (moving contact line paradox, dynamic contact angles)
c. additional nanoscale physics
i. slip conditions (underlying physics, models,
ii. disjoining pressures (for film breakup)
iii. thermal fluctuations (in stability problems)
Topic 2: Kinetic theory for gas microflows
d. Grad’s method
e. Chapman-Enskog expansions
f. NSF derivation and models that go beyond (e.g. G13)
Topic 3: Molecular dynamics for liquid nanoflows
g. non-equilibrium Molecular Dynamics (algorithms, thermostats, controllers)
h. nano-channel flows
i. carbon nanotube membranes
j. open-source codes (mdFoam+, LAMMPS)
Topic 4: Multiscale fluid dynamics
k. domain decomposition
l. the Heterogeneous Multiscale Method (HMM)
m. time-step multi-scaling
n. applications in micro/nano-scale internal flows
o. machine learning and surrogate micro-model generation.

Learning outcomes

By the end of the module, students should be able to:

  • Understand the limitations of classical fluid dynamics.
  • Recognise circumstances in which additional microscale physics is required.
  • Be confident in formulating models that go beyond NSF.
  • Be able to solve computationally the formulated models.

Indicative reading list

Topic 1: Capillarity & Wetting Phenomena: Drops, Bubbles, Pearls & Waves, by deGennes et al
Topic 2: Macroscopic Transport Equations for Rarefied Gas Flows, by Struchtrup
Topic 3: Computer Simulation of Liquids (2nd Edition). M. P. Allen & D. J. Tildesley, Clarendon Press
Topic 4:
W. E, B. Engquist, X. Li, W. Ren, E. Vanden-Eijnden, Heterogeneous multiscale methods: a review, Commun. Comput. Phys. 2 (2007) 367–450.
K.M. Mohamed, A.A. Mohamad, A review of the development of hybrid atomistic-continuum methods for dense fluids, Microfluid. Nanofluid. 8 (2010) 283–302.

Subject specific skills

Understand the limitations of classical fluid dynamics;
Recognise circumstances in which additional microscale physics is required;
Be confident in formulating models that go beyond NSF.
Be able to solve computationally the formulated models.

Transferable skills

Programming, modelling, data analysis

Study time

Type Required
Lectures 6 sessions of 2 hours (16%)
Practical classes 2 sessions of 2 hours (5%)
Private study 59 hours (79%)
Total 75 hours

Private study description

Reading etc

Costs

No further costs have been identified for this module.

You do not need to pass all assessment components to pass the module.

Assessment group D
Weighting Study time Eligible for self-certification
Computational Project (1 of 2) 30% 10 hours No

Based on topic 1.

Computational Project (2 of 2) 30% 10 hours No

Based on topic 2.

Viva Voce examination 40% 5 hours No

30 Mins. On the core material.

Feedback on assessment

Written annotations to submitted computational notebooks
Verbal discussion during viva voce exam
Written summary of viva performance

Past exam papers for PX921

Courses

This module is Core optional for:

  • PG Diploma and MSc in Modelling of Heterogenous Systems