Tomographic imaging for modelling and control of mineral processes

Richard A Williams

doi:10.1016/0923-0467(95)03008-5

Tomographic imaging for modelling and control of mineral processes

Richard A Williams

School of Engineering & Physical Sciences

Research output: Contribution to journal › Article › peer-review

24 Citations (Scopus)

Abstract

Developments in on-line measurement instrumentation now allow direct observation of the behaviour of fluids inside mineral separation equipment. This offers the possibility to acquire process data to enable models to be devised, to verify theoretical computational fluid dynamics predictions and to control processes. The main tomographic sensing methods are reviewed. Examples of the implementation of some electrical sensing methods are illustrated.

Original language	English
Pages (from-to)	71-85
Number of pages	15
Journal	Chemical Engineering Journal and the Biochemical Engineering Journal
Volume	59
Issue number	1
DOIs	https://doi.org/10.1016/0923-0467(95)03008-5
Publication status	Published - Sept 1995

Access to Document

10.1016/0923-0467(95)03008-5

Cite this

@article{0aaed479158a4d6194e7fa53b1144372,

title = "Tomographic imaging for modelling and control of mineral processes",

abstract = "Developments in on-line measurement instrumentation now allow direct observation of the behaviour of fluids inside mineral separation equipment. This offers the possibility to acquire process data to enable models to be devised, to verify theoretical computational fluid dynamics predictions and to control processes. The main tomographic sensing methods are reviewed. Examples of the implementation of some electrical sensing methods are illustrated.",

author = "Williams, {Richard A}",

year = "1995",

month = sep,

doi = "10.1016/0923-0467(95)03008-5",

language = "English",

volume = "59",

pages = "71--85",

journal = "Chemical Engineering Journal and the Biochemical Engineering Journal",

issn = "0923-0467",

publisher = "Elsevier",

number = "1",

}

TY - JOUR

T1 - Tomographic imaging for modelling and control of mineral processes

AU - Williams, Richard A

PY - 1995/9

Y1 - 1995/9

N2 - Developments in on-line measurement instrumentation now allow direct observation of the behaviour of fluids inside mineral separation equipment. This offers the possibility to acquire process data to enable models to be devised, to verify theoretical computational fluid dynamics predictions and to control processes. The main tomographic sensing methods are reviewed. Examples of the implementation of some electrical sensing methods are illustrated.

AB - Developments in on-line measurement instrumentation now allow direct observation of the behaviour of fluids inside mineral separation equipment. This offers the possibility to acquire process data to enable models to be devised, to verify theoretical computational fluid dynamics predictions and to control processes. The main tomographic sensing methods are reviewed. Examples of the implementation of some electrical sensing methods are illustrated.

U2 - 10.1016/0923-0467(95)03008-5

DO - 10.1016/0923-0467(95)03008-5

M3 - Article

SN - 0923-0467

VL - 59

SP - 71

EP - 85

JO - Chemical Engineering Journal and the Biochemical Engineering Journal

JF - Chemical Engineering Journal and the Biochemical Engineering Journal

IS - 1

ER -

Tomographic imaging for modelling and control of mineral processes

Abstract

Access to Document

Fingerprint

Cite this