Crystal engineering through particle size and shape monitoring, modeling, and control [microform]
- Bib ID:
- 3284400
- Format:
- Book and Microform
- Author:
- Patience, Daniel Bruce
- Description:
- 254 p.
- ISBN:
- 0493761284
- Summary:
-
This study presents efforts to develop and assemble tools required for crystal engineering: reliable modeling frameworks, sound particle size and shape measurement technology, nucleation and growth kinetic determination from data, optimal operations policies given the identified models, prediction of final product size, shape and purity at all levels of the process design. Kinetic models are developed that describe the complicated behavior in three systems: (1) an industrial pharmaceutical crystallization; (2) para-xylene crystallization in a scraped-surface crystallizer; (3) sodium chlorate crystallization. For the industrial pharmaceutical batch crystallization, we develop a model that describes size-spreading in crystal size densities. On-line measurements of solution concentration, slurry transmittance, crystal mean size and crystal size density standard deviation are used to identify the parameters in a seeded crystallization with no secondary nucleation.
Unlike previous models used to describe apparent growth-rate dispersion, the developed growth-dependent dispersion model accurately describes crystal size density size-spreading and with an appended dissolution model allows prediction of four experimental measurements. This model development study shows that without the newly developed appended dissolution model, the model parameters cannot be uniquely identified for all four experimental on-line measurements. For the para-xylene batch crystallization, we develop a model that describes high growth rates undetectable with current measurement technology. On-line measurements of solution temperature and slurry transmittance are used to identify the parameters in an unseeded scraped-surface crystallization.
For the sodium chlorate semi-batch crystallization, we present on-line measurements of crystal habit. An on-line video microscope particle size and shape sensor is installed that provides measurements of particle aspect ratio, particle area to bounding boxed area ratio and maximum particle diameter. We show how standard image analysis packages can be augmented with user-defined algorithms to accurately detect crystal habit changes. We show this sensor is capable of maintaining a desired habit of sodium chlorate crystals in the face of unmeasured impurity disturbances.
- Notes:
-
- (UnM)AAI3060461
- Source: Dissertation Abstracts International, Volume: 63-07, Section: B, page: 3386.
- Supervisor: James B. Rawlings.
- Thesis (Ph.D.)--The University of Wisconsin - Madison, 2002.
- Reproduction:
- Microfiche. Ann Arbor, Mich.: University Microfilms International.
- Subject:
- Engineering, Chemical
- Other authors/contributors:
- The University of Wisconsin - Madison
- Copyright:
-
Out of Copyright
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- Reason for copyright status:
- Creator Date of Death is Before 1955
Copyright status was determined using the following information:
- Material type:
- Literary Dramatic Musical
- Presumed date of death of creator (latest date):
- 1709
- Published status:
- Published
- Publication date:
- 1649
Copyright status may not be correct if data in the record is incomplete or inaccurate. Other access conditions may also apply. For more information please see: Copyright in library collections.
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