SFS Stochastic Flow Simulator C.T.J. Dodson and W.W. Sampson UMIST.

Slides:



Advertisements
Similar presentations
CFD MODELLING OF PRESSURE DROP AND FLOW DISTRIBUTION IN PACKED BED FILTERS K Taylor & AG Smith - S&C Thermofluids Ltd S Ross & MW Smith - DERA Porton.
Advertisements

© Fraunhofer ITWM 1 3d Microstructure Meeting, Saarbrücken, Nov 2011 Jürgen Becker Andreas Wiegmann Fraunhofer ITWM, Kaiserslautern Combining Pore.
Paper Engineered Stochastic Structure Some Recent Results CTJ Dodson School of Mathematics, University of Manchester.
The in-plane distribution of density in handsheets C.T.J. Dodson, Y. Oba and W.W. Sampson On the distributions of mass, thickness and density of paper.
1/8 AND, OR and NOT b How many boys? b How many girls? b How many blue? b How many red?
1 The 2-to-4 decoder is a block which decodes the 2-bit binary inputs and produces four output All but one outputs are zero One output corresponding to.
Numerical Analysis for Influence of Cascade Solidity on the Performances of Cavitating Inducers Xiaojun Li Research Center of Fluid.
VC theory, Support vectors and Hedged prediction technology.
Revision.
5. Filtration Fibrous filter High-efficiency glass fiber filter (a) 4150x (b) 800x. - Porosity: 70 to >99%. - Fiber size:
SYSTEMS ANALYSIS AND DESIGN TOOLS
Making a Flow Chart Handout. Flowcharting Example #1 Design a flowchart that finds the average of a persons 3 class marks.
x y 0 radians 2  radians  radians radians radius = 1 unit(1,0) (0,1) (-1,0) (0,-1) (1,0)
OM&PM/Class 3b1 1Operations Strategy 2Process Analysis –Class 2a+2b: Process Flow Analysis –Class 3a: Applications in Manufacturing 3Lean Operations –Class.
Non-parametric Bayesian value of information analysis Aim: To inform the efficient allocation of research resources Objectives: To use all the available.
1 Some terminology Population - the set of all cases about which we have some interest. Sample - the cases we have selected from the population (randomly)
1 Confidence Intervals for Means. 2 When the sample size n< 30 case1-1. the underlying distribution is normal with known variance case1-2. the underlying.
Occupancy Study George Courcoubetis. Goal Produce the occupancy distribution for FCAL channels for a single train.
Binomial distribution Nutan S. Mishra Department of Mathematics and Statistics University of South Alabama.
$100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300.
Classification / Regression Neural Networks 2
Mock Data Production, Characteristics, and Confusion Background WG4 f2f – Nice 09/01/10 Tania Regimbau.
Chapter 19: Separating Mixtures
OPTIMAL PERIODIC OPERATION OF REVERSE OSMOSIS DESALINATION UNITS A. Ajbar, K. AlHumaizi, E. Ali Chemical Engineering Dept. King Saud University Saudi Arabia.
SYSTEMS ANALYSIS AND DESIGN TOOLS DATA FLOW DIAGRAMS.
Math – What is a Function? 1. 2 input output function.
Chromatography L/O :- To understand chromatography, and how it works.
LOGIC MODEL ACTIVITY: EXAMPLES to be distributed as paper handouts (one for each group of 5 to 8 people) for the logic model activity.
Color profiles in photography Bob Peters, GSFC Photo Club.
Class 5 Estimating  Confidence Intervals. Estimation of  Imagine that we do not know what  is, so we would like to estimate it. In order to get a point.
Morphodynamics of the Madeira River in Brazil Christine Bonthius The University of Texas at Austin Department of Geography and the Environment
Multi-Class Blue Noise Sampling Li-Yi Wei Microsoft Research.
FN i,D i X Y Z Paper Ink Drop F = Flow Rate N i = Number of pores of diameter D i F Z >> F X,y F Z
Paper manufacturing process = finger print in paper e.g. refining, retention, sizing, filler, initial dewatering, forming, pressing, drying, drying symmetry,
Industry Systems Input, Process or Output? Click on the right part of the system to move on.
Direct simulation of multiphase flow on pore-space images
Unit IV Finite Word Length Effects
Modeling and Simulation CS 313
Chapter 1 Connections to Algebra Review
Modeling and Simulation CS 313
High Performance Computing and Monte Carlo Methods
What color are these paint chips?
Pharmaceutics-I Lecture No.01
Modeling and experimental study of coupled porous/channel flow
COLOR DETECTIVE By Gavin Russo 03/19/2018.
Monte Carlo Simulation Managing uncertainty in complex environments.
What is Chromatography?
Finding the Complement of Event E AGENDA:
Alafia river: Autocorrelation Autocorrelation of standardized flow.
شاخصهای عملکردی بیمارستان
Estimation Interval Estimates (s unknown) Industrial Engineering
The regression model in matrix form
The Regression Model Suppose we wish to estimate the parameters of the following relationship: A common method is to choose parameters to minimise the.
مدل زنجیره ای در برنامه های سلامت
FILTRATION III EXAMPLE
فرق بین خوب وعالی فقط اندکی تلاش بیشتر است
Families of Functions, Domain & Range, Shifting
Day 16: Domain and Range..
What is Chromatography?
Chromatography.
Function Notation “f of x” Input = x Output = f(x) = y.
Y/I/Q channel blurring with 5x5 mean filter
Advanced Higher Graphic Communication (SQA Exemplar Paper)
Building block to sort two numbers
Addressing uncertainty in a transshipment problem
Probability.
C.2.10 Sample Questions.
C.2.8 Sample Questions.
C.2.8 Sample Questions.
Examples decision trees to make up IH sampling plans
Presentation transcript:

SFS Stochastic Flow Simulator C.T.J. Dodson and W.W. Sampson UMIST

Family of Gamma Distributions representing pore radius distributions

Case Study 1 Four industrially manufactured filters. One known to give different performance in high flow rate filtration application.

Inputs to SFS

Outputs from SFS

Case Study 1 - outcome Outputs from SFS for turbulent flow, i.e. the appropriate flow regime for the application of the filters, reveal that the sample shown in red has the narrowest flow distribution.

Case Study 2 Two printing papers. One yielding uniform print, the other, non-uniform.

Inputs to SFS

Outputs from SFS

Case Study 2 - outcome Outputs from SFS for capillary flow, i.e. the appropriate flow regime for the uptake of ink by paper, reveal that the sample shown in blue has the broadest flow distribution and hence the broadest distribution of ink penetration giving non-uniform print.

Areal densityThicknessPorosity Developments - Porosity distribution