000 04600ntm a2200373 i 4500
001 vtls000105490
003 KUKTEM
005 20251114204404.0
008 190220t20182018my a f am 000 0 eng d
020 _aTHE0001050(Local)
039 9 _a201905171310
_bnazirah
_c201902201532
_dnazri
_y201902201530
_znazri
040 _aUMP
_beng
_cUMP
_erda
090 _aFKKSA .Z35 2018 r Thesis
100 0 _aZakirah Mohd Zahari,
_eauthor.
245 1 0 _aModel improvement and supersaturation control of crystallization process for the case of agglomeration and breakage /
_cZakirah Mohd Zahari
264 1 _aKuantan, Pahang :
_bUMP,
_c2018
264 4 _c© 2018
300 _axix, 113 pages :
_billustrations ;
_c30 cm. +
_e1 CD-ROM
336 _atext
_2rdacontent
336 _atext
_2rdacontent
337 _aunmediated
_2rdamedia
337 _acomputer
_2rdamedia
338 _avolume
_2rdacarrier
338 _acomputer disc
_2rdacarrier
347 _atext file
_bPDF
_2rda
500 _aFaculty of Chemical and Natural Resources Engineering
502 _aThesis (Master of Science) -- Universiti Malaysia Pahang – 2018
504 _aIncludes bibliographical references
520 3 _aCrystallization process is one of the methods for separating solid-liquid components in the chemical and pharmaceutical industries due to the fact that high quality of crystal products can be obtained. The main specifications of the crystal product are usually given in terms of crystal size distribution (CSD). In order to obtain the desired CSD, the supersaturation control can be applied to maintain the concentration at the desired setpoint. Usually current practices point to trial and error method in order to find the setpoint trajectory but it does not guarantee the achievement of the desired CSD. In addition, the crystallization operation usually involves only nucleation and crystal growth phenomena by neglecting the effects of agglomeration and breakage. Therefore, the main objective of this work is to develop a systematic model-based framework for robust supersaturation control in batch cooling crystallization. Through this framework, it is possible to predict the kinetic parameters for representing the crystallization operation, to generate set-point using extended analytical CSD estimator and to perform robustness testing such as set-point tracking, disturbance rejection and uncertainty analysis for achieving robust control. The applications of the model-based framework have been demonstrated through two different case studies. The first case study involves the potassium sulphate crystallization for the case of temperature dependence in nucleation and crystal growth. Meanwhile the effects of agglomeration and breakage is investigated on the sucrose crystallization case study. For both case studies, the necessary kinetic parameters are accurately predicted under open-loop simulation. Based on set-points generated from the extended analytical CSD estimator, the controller is successfully maintained the operation at the required set-point and the desired target CSD is achieved under closed-loop simulation. The developed controller for both case studies are then undergoing set-point tracking and disturbance rejection testing where a good performance has been obtained by judging the ability of the developed controller to adapt the set-point changes and its ability to reject the disturbance introduced to the operation. The robustness of the controller is further evaluated using uncertainty analysis. In this analysis, 6 uncertain input parameters of nucleation and crystal growth are used for potassium sulphate case study and 11 uncertain input parameters of nucleation, crystal growth, agglomeration and breakage are employed for sucrose crystallization. Through uncertainty analysis, it is shown that the proposed controller is performed aggressively to maintain the operation and in the end less variability of the CSD is obtained for both case studies. This shows that supersaturation control has been successfully developed and tested for the case temperature dependence in nucleation and crystal growth as well as the effects of agglomeration and breakage indicating a robust and reliable of the developed controller for this crystallization process.
610 2 0 _aFaculty of Chemical and Natural Resources Engineering
_xDissertations
650 0 _aUniversities and colleges
_xDisertations
650 0 _aTheses
999 _aVIRTUA40
_c1178
_d1184
999 _aVTLSSORT0080*0200*0400*0900*1000*2450*2640*2641*3000*3360*3361*3370*3371*3380*3381*3470*5000*5020*5040*5200*6100*6500*6501*9992