東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Stochastic Modelling in Process Tech...

ScienceDirect (Online service)

FindBook

Google Book

Amazon

博客來

Stochastic Modelling in Process Technology

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Stochastic Modelling in Process Technology/
出版者:	Elsevier Science Ltd : 2007.,
標題:	Manufacturing processes - Mathematical models. -
電子資源:	http://www.sciencedirect.com/science/publication?issn=00765392&volume=211An electronic book accessible through the World Wide Web; click for information
ISBN:	0444520260

Stochastic Modelling in Process Technology
Stochastic Modelling in Process Technology[electronic resource]. - Elsevier Science Ltd2007.

There is an ever increasing need for modelling complex processes reliably. Computational modelling techniques, such as CFD and MD may be used as tools to study specific systems, but their emergence has not decreased the need for generic, analytical process models. Multiphase and multicomponent systems, and high-intensity processes displaying a highly complex behaviour are becoming omnipresent in the processing industry. This book discusses an elegant, but little-known technique for formulating process models in process technology: stochastic process modelling. The technique is based on computing the probability distribution for a single particle's position in the process vessel, and/or the particle's properties, as a function of time, rather than - as is traditionally done - basing the model on the formulation and solution of differential conservation equations. Using this technique can greatly simplify the formulation of a model, and even make modelling possible for processes so complex that the traditional method is impracticable. Stochastic modelling has sporadically been used in various branches of process technology under various names and guises. This book gives, as the first, an overview of this work, and shows how these techniques are similar in nature, and make use of the same basic mathematical tools and techniques. The book also demonstrates how stochastic modelling may be implemented by describing example cases, and shows how a stochastic model may be formulated for a case, which cannot be described by formulating and solving differential balance equations.<P> Key Features: - Introduction to stochastic process modelling as an alternative modelling technique - Shows how stochastic modelling may be succesful where the traditional technique fails - Overview of stochastic modelling in process technology in the research literature - Illustration of the principle by a wide range of practical examples - In-depth and self-contained discussions - Points the way to both mathematical and technological research in a new, rewarding field<P> - Introduction to stochastic process modelling as an alternative modelling technique - Shows how stochastic modelling may be succesful where the traditional technique fails - Overview of stochastic modelling in process technology in the research literature - Illustration of the principle by a wide range of practical examples - In-depth and self-contained discussions - Points the way to both mathematical and technological research in a new, rewarding field.

Electronic reproduction.
Amsterdam :
Elsevier Science & Technology,
2007.

Mode of access: World Wide Web.

ISBN: 0444520260

Source: 115922:116020Elsevier Science & Technologyhttp://www.sciencedirect.comSubjects--Topical Terms:

920932
Manufacturing processes
--Mathematical models.Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: TS183 / .S76 2007

Dewey Class. No.: 670.42

Stochastic Modelling in Process Technology
LDR:03762cam 2200289 a 45 001 893375
003 OCoLC
005 20101126
006 m d
007 cr cn|||||||||
008 101126s2007 xx o 000 0 eng d
020 $a 0444520260
020 $a 9780444520265
029 1 $a NZ1 $b 11778231
035 $a (OCoLC)162130456
035 $a ocn162130456
037 $a 115922:116020 $b Elsevier Science & Technology $n http://www.sciencedirect.com
040 $a OPELS $c OPELS $d BAKER $d OPELS
049 $a TEFA
050 1 4 $a TS183 $b .S76 2007
082 0 4 $a 670.42 $2 22
245 0 0 $a Stochastic Modelling in Process Technology $h [electronic resource].
260 $c 2007. $b Elsevier Science Ltd
520 $a There is an ever increasing need for modelling complex processes reliably. Computational modelling techniques, such as CFD and MD may be used as tools to study specific systems, but their emergence has not decreased the need for generic, analytical process models. Multiphase and multicomponent systems, and high-intensity processes displaying a highly complex behaviour are becoming omnipresent in the processing industry. This book discusses an elegant, but little-known technique for formulating process models in process technology: stochastic process modelling. The technique is based on computing the probability distribution for a single particle's position in the process vessel, and/or the particle's properties, as a function of time, rather than - as is traditionally done - basing the model on the formulation and solution of differential conservation equations. Using this technique can greatly simplify the formulation of a model, and even make modelling possible for processes so complex that the traditional method is impracticable. Stochastic modelling has sporadically been used in various branches of process technology under various names and guises. This book gives, as the first, an overview of this work, and shows how these techniques are similar in nature, and make use of the same basic mathematical tools and techniques. The book also demonstrates how stochastic modelling may be implemented by describing example cases, and shows how a stochastic model may be formulated for a case, which cannot be described by formulating and solving differential balance equations.<P> Key Features: - Introduction to stochastic process modelling as an alternative modelling technique - Shows how stochastic modelling may be succesful where the traditional technique fails - Overview of stochastic modelling in process technology in the research literature - Illustration of the principle by a wide range of practical examples - In-depth and self-contained discussions - Points the way to both mathematical and technological research in a new, rewarding field<P> - Introduction to stochastic process modelling as an alternative modelling technique - Shows how stochastic modelling may be succesful where the traditional technique fails - Overview of stochastic modelling in process technology in the research literature - Illustration of the principle by a wide range of practical examples - In-depth and self-contained discussions - Points the way to both mathematical and technological research in a new, rewarding field.
533 $a Electronic reproduction. $b Amsterdam : $c Elsevier Science & Technology, $d 2007. $n Mode of access: World Wide Web. $n System requirements: Web browser. $n Title from title screen (viewed on July 25, 2007). $n Access may be restricted to users at subscribing institutions.
650 0 $a Manufacturing processes $x Mathematical models. $3 920932
650 0 $a Stochastic models. $3 764002
655 7 $a Electronic books. $2 lcsh $3 542853
710 2 $a ScienceDirect (Online service) $3 848416
856 4 0 $3 ScienceDirect $u http://www.sciencedirect.com/science/publication?issn=00765392&volume=211 $z An electronic book accessible through the World Wide Web; click for information
938 $a Baker & Taylor $b BKTY $c 135.00 $d 135.00 $i 0444520260 $n 0007082257 $s active
994 $a C0 $b TEF