1
To the Editor: I am writing to you to correct our mis- take in our article (‘‘A Submerged Mem- brane Reactor for Continuous Phenol Hydroxylation Over TS-1’’) published in the AIChE Journal, DOI 11514, 2008; 54(7):1842-1849. Recently we have identified an error in our article, which is ‘‘TS-1 catalyst (aver- age particle size, 200 nm; BET surface area, 95 m 2 g 1 ; the Si/Ti molar ratio, 9) was provided by Baling Petrochemical Co., SINOPEC’’. (p 1843) should be replaced by ‘‘TS-1 catalyst (average parti- cle size, 200 nm; BET surface area, 408 m 2 g 1 ; the Si/Ti molar ratio, 59) was pro- vided by Baling Petrochemical Co., SINOPEC’’. I apologize for any inconvenience. Wanqin Jin State Key Laboratory of Materials-oriented Chemical Engineering Nanjing University of Technology 5 Xinmofan Road Nanjing 210009 P.R. China E-mail: [email protected] To the Editor: In a recent article on the operation of seeded batch crystallizers, 1 my co-authors and I used the method of moments to model crystallizer operation and also reported the final crystal-size distribution function at the end of the batch. It was subsequently brought to my attention that we did not explain how the final crystal-size distribu- tions were calculated, and that our method may be of interest to other researchers since researchers working with moment models seldom report final crystal-size distribution functions, and it is well-known that the crystal-size distribution function cannot be recovered exactly from a finite number of moments. Therefore, I would like to briefly explain how the final crystal-size distribu- tion function was calculated. From the integration of the equations in the method of moments model, the nuclea- tion and growth rates as a function of time can be determined. In principle, since the calculation must only be performed once (not repeatedly for the optimization) to determine the final crystal-size distribution one could simply solve the partial differ- ential equation qf qt þ GðtÞ qf qL ¼ 0 subject to the initial condition that the crystal-size distribution is equal to the seed crystal size distribution and the left boundary condition f ð0; tÞ¼ BðtÞ GðtÞ However, there is a simpler way for the assumptions that were made in the article. The final crystal-size distribution will be the sum of contributions from the seeds and the nuclei. The final seed crystal-size distribution will have the same shape as the initial seed crystal-size distribution—it will simply be shifted to the right by an amount equal to R t f 0 GðtÞdt. For the nuclei, at some time t * during the batch, the value of the crystal size distribution at the left boundary (L = 0) will be given by f ð0; t Þ¼ Bðt Þ=Gðt Þ. At the end of the batch, this point in the crys- tal-size distribution will have shifted to the right by an amount equal to R tf t GðtÞdt. So if B(t) and G(t) are known, one can plot B(t)/G(t) vs. R t f t Gðt 0 Þdt 0 to determine the crystal-size distribution function of the nuclei, and then add in the contribution from the seeds. (The smallest seed-grown crystal will always be larger than the largest nucleated crystal under the assumptions that we used.) Of course, this only works for the very restricted set of assumptions (no breakage or agglomera- tion, size-independent growth, etc.) that were considered in the article. If these assumptions were not valid, it would be necessary to solve the full partial differ- ential equation. However, then of course the simple method of moments could not be applied either. Acknowledgments I thank Dr. Noriaki Kubota, Professor Emeri- tus at Iwate University, Japan for pointing out that we did not explain in the article the method by which the final crystal-size distributions were calculated, and for suggesting that I compose this letter. Literature Cited 1. Ward JD, Yu CC, Doherty MF. A new framework and a simpler method for the de- velopment of batch crystallization recipes. AIChE J. 2011;57:606–617. Jeffrey Ward Dept. of Chemical Engineering, National Taiwan University, #1 sec. 4 Roosevelt Rd., Taipei 10617, Taiwan E-mail: [email protected] Ó 2011 American Institute of Chemical Engineers DOI 10.1002/aic.12661 Published online May 23, 2011 in Wiley Online Library (wileyonlinelibrary.com). Ó 2011 American Institute of Chemical Engineers DOI 10.1002/aic.12662 Published online May 18, 2011 in Wiley Online Library (wileyonlinelibrary.com). AIChE Journal AIChE Journal August 2011 Vol. 57, No. 8 Published on behalf of the AIChE DOI 10.1002/aic 2289

Letter to the Editor

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Page 1: Letter to the Editor

LETTER TO THE EDITOR

To the Editor:

I am writing to you to correct our mis-take in our article (‘‘A Submerged Mem-brane Reactor for Continuous PhenolHydroxylation Over TS-1’’) published inthe AIChE Journal, DOI 11514, 2008;54(7):1842-1849.

Recently we have identified an error inour article, which is ‘‘TS-1 catalyst (aver-

age particle size, 200 nm; BET surfacearea, 95 m2�g1; the Si/Ti molar ratio, 9)was provided by Baling PetrochemicalCo., SINOPEC’’. (p 1843) should bereplaced by ‘‘TS-1 catalyst (average parti-cle size, 200 nm; BET surface area, 408m2�g1; the Si/Ti molar ratio, 59) was pro-vided by Baling Petrochemical Co.,SINOPEC’’.I apologize for any inconvenience.

Wanqin JinState Key Laboratory of Materials-oriented

Chemical EngineeringNanjing University of Technology

5 Xinmofan RoadNanjing 210009

P.R. ChinaE-mail: [email protected]

To the Editor:

In a recent article on the operation ofseeded batch crystallizers,1 my co-authorsand I used the method of moments to modelcrystallizer operation and also reported thefinal crystal-size distribution function at theend of the batch. It was subsequentlybrought to my attention that we did notexplain how the final crystal-size distribu-tions were calculated, and that our methodmay be of interest to other researchers sinceresearchers working with moment modelsseldom report final crystal-size distributionfunctions, and it is well-known that thecrystal-size distribution function cannot berecovered exactly from a finite number ofmoments. Therefore, I would like to brieflyexplain how the final crystal-size distribu-tion function was calculated.From the integration of the equations in

the method of moments model, the nuclea-tion and growth rates as a function of timecan be determined. In principle, since thecalculation must only be performed once(not repeatedly for the optimization) todetermine the final crystal-size distributionone could simply solve the partial differ-ential equation

qfqt

þ GðtÞ qfqL

¼ 0

subject to the initial condition that thecrystal-size distribution is equal to the

seed crystal size distribution and the leftboundary condition

f ð0; tÞ ¼ BðtÞGðtÞ

However, there is a simpler way for theassumptions that were made in the article.The final crystal-size distribution will bethe sum of contributions from the seedsand the nuclei. The final seed crystal-sizedistribution will have the same shape asthe initial seed crystal-size distribution—itwill simply be shifted to the right by anamount equal to

R tf0GðtÞdt. For the

nuclei, at some time t* during the batch,the value of the crystal size distributionat the left boundary (L = 0) will begiven by f ð0; t�Þ ¼ Bðt�Þ=Gðt�Þ. At theend of the batch, this point in the crys-tal-size distribution will have shifted tothe right by an amount equal toR tft� GðtÞdt. So if B(t) and G(t) areknown, one can plot B(t)/G(t) vs.R tft Gðt0Þdt0 to determine the crystal-sizedistribution function of the nuclei, andthen add in the contribution from theseeds. (The smallest seed-grown crystalwill always be larger than the largestnucleated crystal under the assumptionsthat we used.) Of course, this only

works for the very restricted set ofassumptions (no breakage or agglomera-tion, size-independent growth, etc.) thatwere considered in the article. If theseassumptions were not valid, it would benecessary to solve the full partial differ-ential equation. However, then of coursethe simple method of moments couldnot be applied either.

AcknowledgmentsI thank Dr. Noriaki Kubota, Professor Emeri-

tus at Iwate University, Japan for pointing outthat we did not explain in the article the methodby which the final crystal-size distributions werecalculated, and for suggesting that I composethis letter.

Literature Cited

1. Ward JD, Yu CC, Doherty MF. A newframework and a simpler method for the de-velopment of batch crystallization recipes.AIChE J. 2011;57:606–617.

Jeffrey WardDept. of Chemical Engineering,

National Taiwan University,#1 sec. 4 Roosevelt Rd.,

Taipei 10617, TaiwanE-mail: [email protected]

� 2011 American Institute of ChemicalEngineersDOI 10.1002/aic.12661Published online May 23, 2011 in Wiley OnlineLibrary (wileyonlinelibrary.com).

� 2011 American Institute of ChemicalEngineersDOI 10.1002/aic.12662Published online May 18, 2011 in Wiley OnlineLibrary (wileyonlinelibrary.com).

AIChE JournalAIChE Journal August 2011 Vol. 57, No. 8 Published on behalf of the AIChE DOI 10.1002/aic 2289