The next-generation predictive tools for multiphase flows

O. K. Matar; P. Angeli; B. J. Azzopardi; B. Hewakandamby; G. F. Hewitt; C. C. Pain; M. J H Simmons

The next-generation predictive tools for multiphase flows

O. K. Matar^*, P. Angeli, B. J. Azzopardi, B. Hewakandamby, G. F. Hewitt, C. C. Pain, M. J H Simmons

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, we outline the framework that we are developing as part of the Multi-scale Exploration of Multiphase PHysIcs in flowS (MEMPHIS) programme to create the next generation modelling tools for complex multiphase flows. These flows are of central importance to microfluidics, oil-and-gas, nuclear, and biomedical applications, and every processing and manufacturing technology. This framework involves the establishment of a transparent linkage between input and prediction to allow systematic error-source identification, and, optimal, modeldriven experimentation, to maximise prediction accuracy. The framework also involves massivelyparallelisable numerical methods, capable of running efficiently on 10⁵-10⁶ core supercomputers, with optimally-adaptive, three-dimensional resolution, and sophisticated multi-scale physical models. The overall aim of this framework is to provide unprecedented resolution of multi-scale, multiphase phenomena, thereby minimising the reliance on correlations and empiricism.

Original language	English
Title of host publication	Sustainable Engineering Forum 2014 - Core Programming Area at the 2014 AIChE Spring Meeting and 10th Global Congress on Process Safety
Publisher	AIChE
Pages	231-238
Number of pages	8
ISBN (Print)	9781634390804
Publication status	Published - 2 Apr 2014
Event	Sustainable Engineering Forum 2014 - Core Programming Area at the 2014 AIChE Spring Meeting and 10th Global Congress on Process Safety - New Orleans, United States Duration: 30 Mar 2014 → 3 Apr 2014

Conference

Conference	Sustainable Engineering Forum 2014 - Core Programming Area at the 2014 AIChE Spring Meeting and 10th Global Congress on Process Safety
Country/Territory	United States
City	New Orleans
Period	30/03/14 → 3/04/14

ASJC Scopus subject areas

General Engineering
Renewable Energy, Sustainability and the Environment
General Chemical Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

@inproceedings{1ed0caffcb2043738c42a42feee8cbe7,

title = "The next-generation predictive tools for multiphase flows",

abstract = "In this paper, we outline the framework that we are developing as part of the Multi-scale Exploration of Multiphase PHysIcs in flowS (MEMPHIS) programme to create the next generation modelling tools for complex multiphase flows. These flows are of central importance to microfluidics, oil-and-gas, nuclear, and biomedical applications, and every processing and manufacturing technology. This framework involves the establishment of a transparent linkage between input and prediction to allow systematic error-source identification, and, optimal, modeldriven experimentation, to maximise prediction accuracy. The framework also involves massivelyparallelisable numerical methods, capable of running efficiently on 105-106 core supercomputers, with optimally-adaptive, three-dimensional resolution, and sophisticated multi-scale physical models. The overall aim of this framework is to provide unprecedented resolution of multi-scale, multiphase phenomena, thereby minimising the reliance on correlations and empiricism.",

author = "Matar, {O. K.} and P. Angeli and Azzopardi, {B. J.} and B. Hewakandamby and Hewitt, {G. F.} and Pain, {C. C.} and Simmons, {M. J H}",

year = "2014",

month = apr,

day = "2",

language = "English",

isbn = "9781634390804",

pages = "231--238",

booktitle = "Sustainable Engineering Forum 2014 - Core Programming Area at the 2014 AIChE Spring Meeting and 10th Global Congress on Process Safety",

publisher = "AIChE",

note = "Sustainable Engineering Forum 2014 - Core Programming Area at the 2014 AIChE Spring Meeting and 10th Global Congress on Process Safety ; Conference date: 30-03-2014 Through 03-04-2014",

}

Matar, OK, Angeli, P, Azzopardi, BJ, Hewakandamby, B, Hewitt, GF, Pain, CC & Simmons, MJH 2014, The next-generation predictive tools for multiphase flows. in Sustainable Engineering Forum 2014 - Core Programming Area at the 2014 AIChE Spring Meeting and 10th Global Congress on Process Safety. AIChE, pp. 231-238, Sustainable Engineering Forum 2014 - Core Programming Area at the 2014 AIChE Spring Meeting and 10th Global Congress on Process Safety, New Orleans, Louisiana, United States, 30/03/14.

TY - GEN

T1 - The next-generation predictive tools for multiphase flows

AU - Matar, O. K.

AU - Angeli, P.

AU - Azzopardi, B. J.

AU - Hewakandamby, B.

AU - Hewitt, G. F.

AU - Pain, C. C.

AU - Simmons, M. J H

PY - 2014/4/2

Y1 - 2014/4/2

N2 - In this paper, we outline the framework that we are developing as part of the Multi-scale Exploration of Multiphase PHysIcs in flowS (MEMPHIS) programme to create the next generation modelling tools for complex multiphase flows. These flows are of central importance to microfluidics, oil-and-gas, nuclear, and biomedical applications, and every processing and manufacturing technology. This framework involves the establishment of a transparent linkage between input and prediction to allow systematic error-source identification, and, optimal, modeldriven experimentation, to maximise prediction accuracy. The framework also involves massivelyparallelisable numerical methods, capable of running efficiently on 105-106 core supercomputers, with optimally-adaptive, three-dimensional resolution, and sophisticated multi-scale physical models. The overall aim of this framework is to provide unprecedented resolution of multi-scale, multiphase phenomena, thereby minimising the reliance on correlations and empiricism.

AB - In this paper, we outline the framework that we are developing as part of the Multi-scale Exploration of Multiphase PHysIcs in flowS (MEMPHIS) programme to create the next generation modelling tools for complex multiphase flows. These flows are of central importance to microfluidics, oil-and-gas, nuclear, and biomedical applications, and every processing and manufacturing technology. This framework involves the establishment of a transparent linkage between input and prediction to allow systematic error-source identification, and, optimal, modeldriven experimentation, to maximise prediction accuracy. The framework also involves massivelyparallelisable numerical methods, capable of running efficiently on 105-106 core supercomputers, with optimally-adaptive, three-dimensional resolution, and sophisticated multi-scale physical models. The overall aim of this framework is to provide unprecedented resolution of multi-scale, multiphase phenomena, thereby minimising the reliance on correlations and empiricism.

UR - http://www.scopus.com/inward/record.url?scp=84911408144&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84911408144

SN - 9781634390804

SP - 231

EP - 238

BT - Sustainable Engineering Forum 2014 - Core Programming Area at the 2014 AIChE Spring Meeting and 10th Global Congress on Process Safety

PB - AIChE

T2 - Sustainable Engineering Forum 2014 - Core Programming Area at the 2014 AIChE Spring Meeting and 10th Global Congress on Process Safety

Y2 - 30 March 2014 through 3 April 2014

ER -

The next-generation predictive tools for multiphase flows

Abstract

Conference

ASJC Scopus subject areas

UN SDGs

Fingerprint

Cite this