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  1. NTU Theses and Dissertations Repository
  2. 工學院
  3. 化學工程學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/69739
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor吳哲夫
dc.contributor.authorPo-Chen Suen
dc.contributor.author蘇柏丞zh_TW
dc.date.accessioned2021-06-17T03:25:55Z-
dc.date.available2023-06-13
dc.date.copyright2018-06-13
dc.date.issued2018
dc.date.submitted2018-05-16
dc.identifier.citation[1] Jones, A. G., J. Budz (1987). 'Batch Crystallization and Solid Liquid Separation of Potassium-Sulfate.' Chemical Engineering Science 42(4): 619-629.
[2] Mydlarz, J. and A. G. Jones (1989). 'Continuous Crystallization and Subsequent Solid-Liquid Separation of Potassium-Sulfate .2. Slurry Filterability.' Chemical Engineering Research & Design 67(3): 294-300.
[3] Tanguy, D. and P. Marchal (1996). 'Relations between the properties of particles and their process of manufacture.' Chemical Engineering Research & Design 74(A7): 715-722.
[4] Richard Lakerveld, Jelan Kuhn, Herman J.M. Kramer, Peter J. Jansens, Johan Grievink (2010). Membrane assisted crystallization using reverse osmosis: Influence of solubility characteristics on experimental application and energy saving potential. Chemical Engineering Science 65 2689–2699.
[5] Elodie Chabanon, Denis Mangin, Catherine Charcosset (2016). Membranes and crystallization processes: State of the art and prospects. Journal of Membrane Science 50957–67.
[6] Jelan Kuhn, Richard Lakerveld, Herman J. M. Kramer, Johan Grievink, and Peter J. Jansens (2009). Characterization and Dynamic Optimization of Membrane-Assisted Crystallization of Adipic Acid. Ind. Eng. Chem. Res. 48, 5360–5369.
[7] H. Fang, J.F. Gao, H.T. Wang, C.S. Chena (2012). Hydrophobic porous alumina hollow fiber for water desalination via membrane distillation process. Journal of Membrane Science 403– 404, 41– 46.
[8] Enrico Drioli, Aamer Ali, Francesca Macedonio (2015). Membrane distillation: Recent developments and perspectives. Desalination 356, 56–84.
[9] D.Y. Hou, J. Wang, D. Qu, Z.K. Luan, X.J. Ren (2009). Fabrication and characterization of hydrophobic PVDF hollow fiber membranes for desalination through direct contact membrane distillation, Sep. Purif. Technol. 69, 78–86.
[10] M.M. Teoh, T.S. Chung (2009). Membrane distillation with hydrophobic macrovoid-free PVDF-PTFE hollow fiber membranes, Sep. Purif. Technol. 66, 229–236.
[11] Z.D. Hendren, J. Brant, M.R. Wiesner (2009). Surface modification of nanostructured ceramic membranes for direct membrane distillation, J. Membr. Sci. 331, 1–10.
[12] S.R. Krajewski, W. Kujawski, M. Bukowska, C. Picard, A. Larbot (2006). Application of fluoroalkylsilanes (FAS) grafted ceramic membranes in membrane distillation process of NaCl solutions, J. Membr. Sci. 281, 253–259.
[13] L. Gazagnes, S. Cerneaux, M. Persin, E. Prouzet, A. Larbot (2007). Desalination of sodium chloride solutions and seawater with hydrophobic ceramic membranes, Desalination 217, 260–266.
[14] S. Simone, A. Figoli, A. Criscuoli, M.C. Carnevale, A. Rosselli, E. Drioli (2010). Preparation of hollow fiber membranes from PVDF/PVP blends and their application in VMD, J. Membr. Sci. 364, 219–232.
[15] Chung, S. H., D. L. Ma, et al. (1999). 'Optimal seeding in batch crystallization.' Canadian Journal of Chemical Engineering 77(3): 590-596.
[16] Jagadesh, D., N. Kubota, et al. (1996). 'Large and mono-sized product crystals from natural cooling mode batch crystallizer.' Journal of Chemical Engineering of Japan 29(5): 865-873.
[17] Doki, N., N. Kubota, et al. (2002). 'Determination of critical seed loading ratio for the production of crystals of uni-modal size distribution in batch cooling crystallization of potassium alum.' Journal of Chemical Engineering of Japan 35(7): 670-676.
[18] Kubota, N. and M. Onosawa (2009). 'Seeded batch crystallization of ammonium aluminum sulfate from aqueous solution.' Journal of Crystal Growth 311(20): 4525-4529.
[19] Ward, J. D., C. C. Yu, et al. (2011). 'A New Framework and a Simpler Method for the Development of Batch Crystallization Recipes.' AIChE Journal 57(3): 606-617.
[20] Hulburt, H. M. and S. Katz (1964). 'Some Problems in Particle Technology -a Statistical Mechanical Formulation.' Chemical Engineering Science; 19(8): 555-574.
[21] Randolph, A.D. and Larson, M.A (1988). Theory of particulate processes: Analysis and techniques of continuous crystallization.
[22] Ramkrishna, D. (2000). Population balances: Theory and applications to particulate systems in engineering. Academic Press.
[23] Ru-Ying Qian, Xian-Shen Fang, and Zhi-Keng Wang (1989). Supersaturation and Crystallization Kinetics of Potassium Chloride. Ind. Eng. Chem. Res., Vol. 28, No. 6, 844–850.
[24] Serena H. Chung, David L. Ma and Richard D. Braatz (1999). Optimal Seeding in Batch Crystallization. The Canadian Journal of Chemical Engineering, Volume 77. 590-596.
[25] Debasis Sarkar, Sohrab Rohani, and Arthur Jutan (2006). Multi-objective optimization of seeded batch crystallization processes. Chemical Engineering Science 61, 5282 – 5295.
[26] A. Bernardoa, M. Giulietti (2010). Modeling of crystal growth and nucleation rates for pentaerythritol batch crystallization. Chemical engineering research and design 88, 1356–1364.
[27] Yanfeng Qiu, Ake C. Rasmuson (1990). Growth and Dissolution of Succinic Acid Crystals in a Batch Stirred Crystallizer. AIChE Journal, Vol. 36, No. 5.
[28] J. R. Corriou, S. Rohani (2002). Nonlinear Control of a Batch Crystallizer. Chem. Eng. Comm., 189: 1415-1436.
[29] Miloslav Karel, Jaroslav Nyvlt and Angelo Chianese (1994). Crystallization of Pentaerythritol I. Solubility, Density and Metastable Zone Width. Collect. Czech. Chem. Commun. (Vol. 59).
[30] J. Voigtländer, F. Stratmann (2009). Evaporation and particle shape factor of succinic acid particles: Combined analysis of experimental data and computational fluid dynamics results. European Aerosol Conference, Karlsruhe, Abstract T073A02.
[31] Gunst RF, Draper NR, Smith H (1999). Applied regression analysis. Technometrics 41(3):265.
[32] Jearkpaporn D, Montgomery DC, Runger GC, Borror CM (2003). Process monitoring for correlated gamma-distributed data using generalized-linear-model-based control charts. Quality and Reliability Engineering International; 19 (6):477–491.
[33] Seborg DE, Mellichamp DA, Edgar TF (2008). Process dynamics and control. 3rd ed. United Kingdom: Wiley, John & Sons.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/69739-
dc.description.abstract薄膜輔助結晶相對於傳統蒸發結晶在節能方面具有極高的潛力及開發價值,本研究選定了兩種薄膜以建構薄膜輔助結晶之動力式參數研究,分別執行了實驗以及電腦模擬的探討。
實驗部分,分別以逆滲透薄膜對於己二酸及輸水性孔洞薄膜對於氯化鉀水溶液進行結晶實驗,利用回歸方法針對動力式參數施行研究。模擬部分,選定了五種物質利用文獻中已發表之結晶動力學參數,進行薄膜結晶的成核及成長模擬;分別為硝酸鉀、硫酸鉀、季戊四醇、丁二酸及鉀明礬。在結晶粒徑分布圖的探討中,於晶體完全均勻混合及分佈的假設下,我們考慮了兩種極端的結晶槽:清澈水溶液循環的理想結晶槽,以及晶體伴隨水溶液循環的結晶槽。在模擬研究中,我們也利用靈敏度分析探討了晶種重量以及晶種粒徑對於目標函數成核體積比率的關聯性。另外,為了探討薄膜除水量對於成核體積比率的影響,我們將除水量列為不同的時間函數軌跡作探討歸納出其對於產物粒徑的影響。
zh_TW
dc.description.abstractMembrane-assisted crystallization processes have the potential to reduce energy consumption and equipment size (footprint) compared to evaporative crystallization. In this thesis, reverse osmosis membranes and porous hydrophobic membranes are considered for the removal of water from solution to facilitate crystallization. Experiments using both types of membranes are performed and mathematical models of membrane-assisted crystallization processes are also constructed. Simulation of the process is also conducted to identify conditions that minimize the nucleated crystal volumetric ratio (μ_(3,n)⁄(μ_3)).
Adipic acid and potassium chloride are used in the experimental work for the reverse osmosis membrane and the porous hydrophobic membrane respectively. Preliminary experimental work has been done including solubility measurements, data collection and regression for relation of temperature and conductivity measurements for online measurement of concentration, and salt rejection tests to measure membrane selectivity.
Five substances are chosen for the membrane-assisted crystallization simulation: potassium nitrate, potassium sulfate, pentaerythritol, succinic acid, and potassium alum; the kinetic parameters from literature are used. Two limiting cases of crystallizer design are considered: one in which only clear solution is circulated from the crystallizer to the buffer tank, and one in which a crystal slurry is circulated. In the simulation, the effect of seed loading and seed size on the objective function is discussed. Furthermore, in order to understand the influence of membrane water removal rate on the product nucleation volumetric ratio, different water removal trajectories as function of time were considered.
en
dc.description.provenanceMade available in DSpace on 2021-06-17T03:25:55Z (GMT). No. of bitstreams: 1
ntu-107-R04524053-1.pdf: 3430022 bytes, checksum: 4b9cdbecd99a45475be56aa18e103b33 (MD5)
Previous issue date: 2018
en
dc.description.tableofcontents摘要................................................................................................................... i
Abstract............................................................................................................... ii
Table of contents...................................................................................................... iv
List of figures........................................................................................................ viii
List of tables......................................................................................................... xiv
1. Introduction................................................................................................... 1
1.1. Overview....................................................................................................... 1
1.2. Review of membrane-assisted crystallization.................................................................... 4
1.2.1. Reverse osmosis membrane....................................................................................... 4
1.2.2. Porous hydrophobic membranes................................................................................... 5
1.3. Review of Crystallization Kinetics............................................................................. 6
1.4. Review of seeding policy....................................................................................... 9
2. Modeling....................................................................................................... 11
2.1. Population balance for batch crystallizer...................................................................... 11
2.1.1. Modeling case 1: crystallizer of clear liquid circulation...................................................... 15
2.1.2. Modeling case 2: crystallizer of slurry circulation............................................................ 17
2.2. Kinetic models of crystal nucleation and growth................................................................ 20
2.2.1. Kinetic model of Potassium Nitrate............................................................................. 20
2.2.2. Kinetic model of Potassium Sulfate............................................................................. 20
2.2.3. Kinetic model of Pentaerythritol............................................................................... 22
2.2.4. Kinetic model of Succinic Acid................................................................................. 23
2.2.5. Kinetic model of Potassium Alum................................................................................ 24
2.3. Physical parameters............................................................................................ 26
3. Experimental Methods........................................................................................... 29
3.1. Experiment set-up.............................................................................................. 29
3.1.1. Reverse osmosis membrane-assisted crystallization.............................................................. 29
3.1.2. Porous hydrophobic membrane-assisted crystallization........................................................... 30
3.2. Solubility Measurement and Metastable Zone Width............................................................... 32
3.3. Correlation among Conductivity, Concentration, and Temperature in Determining Supersaturation.................. 33
3.3.1. Regression for Adipic acid..................................................................................... 34
3.3.2. Regression for Potassium chloride.............................................................................. 36
3.4. Salt rejection from membrane................................................................................... 39
4. Result and discussion.......................................................................................... 40
4.1. Experimental results........................................................................................... 40
4.1.1. Reverse osmosis membrane (adipic acid)......................................................................... 40
4.1.2. Porous hydrophobic membrane (potassium chloride)............................................................... 42
4.2. Mathematical modeling of crystallizer with clear liquid circulation............................................ 46
4.2.1. Potassium nitrate.............................................................................................. 46
4.2.2. Potassium sulfate.............................................................................................. 48
4.2.3. Pentaerythritol................................................................................................ 50
4.2.4. Succinic acid.................................................................................................. 52
4.2.5. Potassium alum................................................................................................. 54
4.3. Sensitivity analysis........................................................................................... 56
4.3.1. Effect of seed loading ratio on nucleation ratio for constant water removal rate................................ 56
4.3.2. Effect of seed loading ratio on nucleation ratio for constant circulation rate.................................. 57
4.4. Sensitivity analysis for changing seed mean size............................................................... 59
4.5. Effect of water removal policy................................................................................. 61
4.6. Operation with slurry circulation.............................................................................. 65
4.6.1. Potassium nitrate.............................................................................................. 66
4.6.2. Potassium sulfate.............................................................................................. 67
4.6.3. Pentaerythritol................................................................................................ 69
4.6.4. Succinic acid.................................................................................................. 70
4.6.5. Potassium alum................................................................................................. 72
5. Conclusions.................................................................................................... 74
Nomenclature........................................................................................................... 76
References............................................................................................................. 79
dc.language.isoen
dc.subject薄膜輔助結晶zh_TW
dc.subject靈敏度分析zh_TW
dc.subject逆滲透膜zh_TW
dc.subject成核體積比率zh_TW
dc.subject孔洞型疏水性薄膜zh_TW
dc.subjectmembrane-assisted crystallizationen
dc.subjectporous hydrophobic membraneen
dc.subjectsensitivity analysisen
dc.subjectnucleation volumetric ratioen
dc.subjectreverse osmosis membraneen
dc.title薄膜輔助結晶之操作與動力式模擬zh_TW
dc.titleOperation and Kinetic Modeling of Membrane-assisted Crystallizationen
dc.typeThesis
dc.date.schoolyear106-2
dc.description.degree碩士
dc.contributor.oralexamcommittee蕭立鼎,錢義隆,陳誠亮
dc.subject.keyword薄膜輔助結晶,孔洞型疏水性薄膜,逆滲透膜,成核體積比率,靈敏度分析,zh_TW
dc.subject.keywordmembrane-assisted crystallization,porous hydrophobic membrane,reverse osmosis membrane,nucleation volumetric ratio,sensitivity analysis,en
dc.relation.page83
dc.identifier.doi10.6342/NTU201800742
dc.rights.note有償授權
dc.date.accepted2018-05-16
dc.contributor.author-college工學院zh_TW
dc.contributor.author-dept化學工程學研究所zh_TW
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