@article { ISI:000346322200038,
	title = {Crystal shape evolution using polyhedral population balance},
	journal = {Industrial \& Engineering Chemistry Research},
	volume = {53},
	number = {49},
	year = {2014},
	month = {DEC},
	pages = {18966-18974},
	publisher = {AMER CHEMICAL SOC},
	type = {Article},
	address = {1155 16TH ST, NW, WASHINGTON, DC 20036 USA},
	abstract = {<p>Research on crystal morphology covers shape evolution of single crystal and evolution of the size and shape distribution of populations of crystals. The population balance models have been used for the single or multiple dimensions for predicting the evolution of crystal size distributions (CSDs). More often than not these models do not consider the change in solute concentration due to disappearance/appearance of the crystal faces and therefore compromise rigorous mass balance. The present work focuses on the methodology for the morphological evolution of crystal shape using a polyhedral population balance model. This methodology is based on the morphodrome which illustrates the shapes of crystals at various operating conditions. gPROMS software (PSE, UK) along with Microsoft Excel is used to devise the framework for predicting the crystal shape evolution. The developed approach and models can be implemented for various crystallization systems and will be useful for simulating crystal shape evolutions.</p>},
	issn = {0888-5885},
	doi = {10.1021/ie501039c},
	author = {Shaikh, Latif J. and Ranade, Vivek V. and Pandit, Aniruddha B.}
}
@article { ISI:000363917000038,
	title = {Generic framework for crystallization processes using the population balance model and its applicability},
	journal = {Industrial \& Engineering Chemistry Research},
	volume = {54},
	number = {42},
	year = {2015},
	month = {OCT},
	pages = {10539-10548},
	publisher = {AMER CHEMICAL SOC},
	address = {1155 16TH ST, NW, WASHINGTON, DC 20036 USA},
	abstract = {<p>A generic modeling framework for batch cooling crystallization processes has been developed to understand the crystallization process from operational and modeling point of view. The generic framework for crystallization process modeling incorporates the characteristic dimensions of crystals and polymorphic transformation, as well as the hydrodynamic mixing effects in the crystallizer. This Polyhedral Polymorphic Multizonal Population Balance (PPMPBM) model considers bottom-up and top-down approaches for specific systems with specific targets. The PPMPBM framework allows switching between complex and simple models to study different crystallization systems with different scenarios and combination thereof. This framework uses gPROMS software (PSE, UK) and the Microsoft Excel front-end, along with the Polytope module in Matlab, to predict the crystal size and shape evolution as well as supersaturation profiles inside the crystallizer, which can be implemented for various crystallization systems.</p>},
	issn = {0888-5885},
	doi = {10.1021/acs.iecr.5b01421},
	author = {Shaikh, Latif J. and Bari, Atul H. and Ranade, Vivek V. and Pandit, Aniruddha B.}
}
