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  Bivariate Extension of the Quadrature Method of Moments for Batch Crystallization Models

Qamar, S., Noor, S., ul Ain, Q., & Seidel-Morgenstern, A. (2010). Bivariate Extension of the Quadrature Method of Moments for Batch Crystallization Models. Industrial and Engineering Chemistry Research, 49(22), 11633-11644. doi:10.1021/ie101108s.

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資料種別: 学術論文

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 作成者:
Qamar, S.1, 2, 著者           
Noor, S.2, 著者
ul Ain, Q.2, 著者
Seidel-Morgenstern, A.1, 3, 著者           
所属:
1Physical and Chemical Foundations of Process Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738150              
2COMSATS Institute of Information Technology, Islamabad, Pakistan, persistent:22              
3Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156              

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 要旨: This Article presents a bivariate extension of the quadrature method of moments for solving two-dimensional batch crystallization models involving crystals nucleation, size-dependent growths, aggregation, and dissolution of small nuclei below certain critical size in a dissolution unit. In this technique, orthogonal polynomials of lower order moments are used to find the quadrature abscissas (points) and weights. Several benchmark problems with different combinations of processes are considered in this Article. The accuracy and efficiency of the proposed method are validated against the analytical solutions and the high-resolution finite volume scheme. Excellent agreements were observed in all test problems. It was found that the current method is very efficient and accurate as compared to the high-resolution finite volume scheme. copyright 2010 American Chemical Society [accessed November 18th, 2010]

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言語: eng - English
 日付: 2010
 出版の状態: 出版
 ページ: -
 出版情報: -
 目次: -
 査読: 査読あり
 識別子(DOI, ISBNなど): eDoc: 499532
その他: 40/10
DOI: 10.1021/ie101108s
 学位: -

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出版物 1

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出版物名: Industrial and Engineering Chemistry Research
種別: 学術雑誌
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出版社, 出版地: Washington, D.C : American Chemical Society
ページ: - 巻号: 49 (22) 通巻号: - 開始・終了ページ: 11633 - 11644 識別子(ISBN, ISSN, DOIなど): ISSN: 0888-5885
CoNE: https://pure.mpg.de/cone/journals/resource/954928546246