Monday, May 7, 2018

 

Speaker: Prof. Doraiswami Ramkrishna (Purdue University, USA)

https://engineering.purdue.edu/ChE/news/2017/dr-ramkrishna-selected-as-balwant-s-joshi-distinguished-visiting-professor/Ramkrishna_cropped.jpg/alter?box=0,0,300,300&height=200&width=200

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Title: Population Balance Modeling. Opportunities in Biological Sciences

 

Abstract:

The application of population balances has risen steeply in the last few decades with researchers finding an increasingly inventive use of so-called internal coordinates. While traditional particulate processes continue to receive their legitimate attention, new applications abound in biology that remain unexplored. It will be the objective of this talk to deliberate on biological phenomena that are direly in need of the population balance perspective. In particular, the many signalling processes that represent the underpinning of quorum sensing, differentiation into different cell types and so on represent areas of potential application. Examples will be presented in some detail for demonstration. One represents the transfer of drug resistance among bacterial species that is a source of mounting concern about curing diseases such as Endocarditis. Another will address features of the bone marrow scenario, that are associated with the production of various cell types which eventually enter the peripheral blood stream serving as a major diagnostic source of illness and its treatment.

 

Tuesday, May 8, 2018

 

Speaker: Pankaj Doshi (Pfizer, USA)

photo_Pankaj

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Title: Digital Design for Drug Product Manufacturing to Performance: Growing Role of Population Balance Modeling

 

Abstract:

Manufacturing processes of solid oral drug products comprise of a series of unit operations such as crystallization, milling, granulation, tabletting and assurance of quality via dissolution testing for demonstrating the quality of performance. A common feature among all these steps is the kinetic transformation of the population of discrete particles. These kinetic processes represent phenomena such as nucleation, crystal growth, agglomeration, breakage as well as dissolution. Models representing these individual kinetic processes have reached a level of maturity and are now routinely used in industrial applications. However, more recently driven by quality by design paradigm (QbD), the emphasis has been on developing end-to-end flowsheet model for the entire manufacturing operation. This approach is intended to provide the ability to evaluate the impact of process changes on downstream steps in the entire manufacturing process. In this presentation, I will share a recent experience in developing flowsheet models developed using gPROMS platform. Results will be presented from a case study involving a comprehensive flowsheet that combines API crystallization, downstream solids operations and in vitro drug performance. Finally, I will highlight the numerical challenges associated with simultaneous solutions of multiple PBM equations representing integrated particulate processes with different time and length scales.

 

 

Wednesday, May 9, 2018

 

Speaker: Prof. Markus Kraft (University of Cambridge, UK)

http://www.energy.cam.ac.uk/directory/mk306@cam.ac.uk/image_normal

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Title: Stochastic weighted particle methods for population balance models.

 

Abstract:

In my talk, I shall present numerical methods that make use of stochastic weighted particle (SWP) methods for the solution of simple and detailed population balance equations. In the first part of my talk, I shall introduce the univariate and bi-variate moment projection method (MPM) which is based on a set of weighted particles and a moment projection algorithm. The method is useful for problems in which the effects of shrinkage and fragmentation play an important role. I shall demonstrate the usefulness of the methods for simulating the formation and oxidation of soot in a diesel engine. In the second part of my talk, I shall introduce very detailed particle models. These have been used to simulate the synthesis of titania nanoparticles both in the laboratory and in an industrial reactor, and to simulate the formation of soot in laboratory flames. These models track the aggregate structure of the particles and the composition of each primary particle within each aggregate. They are able to resolve the effect of sintering and surface growth on each primary in the presence of coagulation.  

 

Download the CVs of the speakers below!