00531nas a2200145 4500008004100000022001400041245005600055210005000111260007100161300000900232490000700241100002900248700002200277856008600299 2007 eng d a0888-588500aPreface: CAMURE-6 & ISMR-5 symposium in Pune, India0 aPreface CAMURE6 ISMR5 symposium in Pune India a1155 16TH ST, NW, WASHINGTON, DC 20036 USAbAMER CHEMICAL SOCcDEC a82910 v461 aChaudhari, Raghunath, V.1 aRanade, Vivek, V. uhttps://library.ncl.res.in/content/preface-camure-6-ismr-5-symposium-pune-india-001803nas a2200241 4500008004100000022001400041245007400055210006900129260010600198300001400304490000700318520096800325653001701293653001401310653001201324653001801336653001701354100002301371700002201394700001501416700002001431856011001451 2009 eng d a0009-250900aPressure drop across vortex diodes: experiments and design guidelines0 aPressure drop across vortex diodes experiments and design guidel aTHE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLANDbPERGAMON-ELSEVIER SCIENCE LTDcMAR a1285-12920 v643 a

Vortex diodes are used as leaky non-return valves in applications where it is desirable to avoid valves with moving parts. Despite their use in practice for several decades, no clear guidelines for design and optimization of vortex diodes are available. Detailed experimental study on flow and pressure drop characteristics of vortex diodes was therefore carried out to evolve such guidelines. The study covered a wide range of vortex diodes. The variation of diodicity (ratio of pressure drop for reverse and forward flow for the same flow rate) with respect to diode geometry, diode size (d(c)), aspect ratio (d(c)/h), nozzle configuration and Reynolds number (Re) was studied. The experimental results were critically analyzed to develop a design methodology. The methodology is shown to be useful for obtaining the diode dimensions that would yield the desired diodicity for the required operating flow rate. (c) 2008 Elsevier Ltd. All rights reserved.

10aAspect ratio10aDiodicity10aNozzles10apressure drop10aVortex diode1 aKulkarni, Amol, A.1 aRanade, Vivek, V.1 aRajeev, R.1 aKoganti, S., B. uhttps://library.ncl.res.in/content/pressure-drop-across-vortex-diodes-experiments-and-design-guidelines-001908nas a2200229 4500008004100000022001400041245008200055210006900137260009900206300001200305490000800317520110400325653000901429653001801438653002801456653001401484653000801498100002001506700001801526700002201544856011201566 2016 eng d a0016-236100aProcessing of TGA data: analysis of isoconversional and model fitting methods0 aProcessing of TGA data analysis of isoconversional and model fit aTHE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLANDbELSEVIER SCI LTDcFEB a490-4980 v1653 a

Thermogravimetric analysis (TGA) is routinely used to characterize coal. Apart from proximate analysis, TGA data is also used to characterize kinetics of devolatilization and char combustion. Various methods have been proposed to process the TGA data [isoconversional or model free methods such as Friedman method, Kissinger method, Flynn-Wall-Ozawa method (FWO), Kissinger-Akahira-Sunose method (KAS) or single or multi-reaction models (SRMs/MRMs) and distributed activation energy models (DAEMs)]. In this work, we have critically examined various models for processing TGA data obtained with typical Indian coal. A generalized equation has been proposed to encompass different models as special cases. We have also considered a model based on a possibility of distribution of frequency factor along with constant or distribution of activation energies. The results of TGA data described by different models were critically analyzed. The presented results and methodology will be useful for selecting appropriate strategy for processing TGA data. (C) 2015 Elsevier Ltd. All rights reserved.

10aDAEM10aHigh ash coal10aIsoconversional methods10aPyrolysis10aTGA1 aJain, Ankit, A.1 aMehra, Anurag1 aRanade, Vivek, V. uhttps://library.ncl.res.in/content/processing-tga-data-analysis-isoconversional-and-model-fitting-methods-102114nas a2200133 4500008004100000245008800041210006900129260002800198520157300226100002001799700002001819700002201839856011901861 2019 eng d00aPopulation balance-enabled model for batch and continuous crystallization processes0 aPopulation balanceenabled model for batch and continuous crystal bJohn Wiley & Sons, Inc.3 a

Crystallization is a critical unit operation in manufacturing of various active pharmaceutical ingredients and drugs. Irrespective of the large-scale use of crystallization in pharmaceutical manufacturing industry, crystallization is still considered as an art. Recently, quality by design (QbD) is gaining industry acceptance as an approach toward development and commercialization of the pharmaceutical drug molecules. In QbD, the unit operations and the process are designed and controlled to deliver specified quality attributes consistently. The proposed chapter is motivated by the necessity of the prediction of crystallization events like onset of the crystallization, nucleation, and growth during crystallization of active pharmaceutical ingredients. The chapter demonstrates the integrated use of population balance modeling framework for developing a fundamental understanding of the kinetic aspects of crystallization and correlating the developed understanding for scale-up and design for the crystallization processes. Efforts are made to discuss the impact of various critical process parameters like metastable zone width, scale effects, and residence time on crystal size during batch and continuous modes with the help of couple of case studies. The presented model and approach will be useful for implementing QbD for crystallizers.

1 aPandit, Ajinkya1 aBhambure, Rahul1 aRanade, Vivek, V. uhttps://library.ncl.res.in/content/population-balance-enabled-model-batch-and-continuous-crystallization-processes