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Predicting Granular Growth Processes...

Tamrakar, Ashutosh.

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Predicting Granular Growth Processes: Model Development, Implementation and Assessment for Industrial Applications.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Predicting Granular Growth Processes: Model Development, Implementation and Assessment for Industrial Applications./
作者:	Tamrakar, Ashutosh.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:	264 p.
附註:	Source: Dissertations Abstracts International, Volume: 81-04, Section: B.
Contained By:	Dissertations Abstracts International81-04B.
標題:	Chemical engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13808795
ISBN:	9781088325681

Predicting Granular Growth Processes: Model Development, Implementation and Assessment for Industrial Applications.
Tamrakar, Ashutosh.

Predicting Granular Growth Processes: Model Development, Implementation and Assessment for Industrial Applications. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 264 p.

Source: Dissertations Abstracts International, Volume: 81-04, Section: B.

Thesis (Ph.D.)--Rutgers The State University of New Jersey, School of Graduate Studies, 2019.

This item must not be sold to any third party vendors.

Growth of granular particles - whether desired or undesired - are quite common in various industrial operations from agrochemical manufacturing to pharmaceutical product development to food and fine/specialty chemicals production. As such, their related problems and methods to predict their behavior have been widely discussed in various engineering fields. This work provides an in-depth description of the development, implementation and assessment of various predictive tools and techniques of granular growth processes including use of dimensionless groups, advanced computational models as well as multi-scale frameworks to improve the performance of these models. This study presents a comprehensive look at the current state-of-the-art computational techniquesused in granular and multi-phase flows and presents a practical framework for incorporating design-based principles and developing predictive model-based analysis to understand granular processes through case studies. In the following thesis, three case studies involving manufacturing issues encountered in common unit operations are highlighted: (i) generation of undesired agglomeration during agitated filter-drying,(ii) formation of high/ low viscous regions during high-shear wet granulation with wet and dry binder addition, and (iii) prediction of granule size during top-spray fluidized bed wet granulation. The frameworks presented in this study demonstrate a pragmatic process model development methodology by efficiently coupling multi-scale/multi-phase simulations and numerical techniques which can be used for effective process design, development and scale-up purposes.

ISBN: 9781088325681Subjects--Topical Terms:

560457
Chemical engineering.
Subjects--Index Terms:

Computational fluid dynamics

Predicting Granular Growth Processes: Model Development, Implementation and Assessment for Industrial Applications.
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500 $a Source: Dissertations Abstracts International, Volume: 81-04, Section: B.
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506 $a This item must not be sold to any third party vendors.
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