S
Savitha S. Panikar
Researcher at University of Missouri–Kansas City
Publications - 27
Citations - 247
Savitha S. Panikar is an academic researcher from University of Missouri–Kansas City. The author has contributed to research in topics: Ab initio quantum chemistry methods & Ab initio. The author has an hindex of 8, co-authored 27 publications receiving 189 citations. Previous affiliations of Savitha S. Panikar include Rutgers University.
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Statistical analysis and comparison of a continuous high shear granulator with a twin screw granulator: Effect of process parameters on critical granule attributes and granulation mechanisms
Wei Meng,Lalith Kotamarthy,Savitha S. Panikar,Maitraye Sen,Shankali U. Pradhan,Michaelis Marc,James D. Litster,Fernando J. Muzzio,Rohit Ramachandran +8 more
TL;DR: Granulation mechanisms explored on the basis of nucleation and growth regime maps revealed that for most cases liquid binder was uniformly distributed with fast droplet penetration into the powder bed and that granule consolidation and coalescence mainly took place in the nucleation, steady growth and rapid growth regimes.
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Advanced process design and understanding of continuous twin-screw granulation via implementation of in-line process analytical technologies
Wei Meng,Andrés D. Román-Ospino,Savitha S. Panikar,Chris O'Callaghan,Sean J. Gilliam,Rohit Ramachandran,Fernando J. Muzzio +6 more
TL;DR: In this paper, the authors employed three in-line process analytical technologies (PATs): Eyecon™ 3D imaging system, Near-infrared spectroscopy (NIRS) and Raman spectroscopic (RS) in a continuous twin-screw granulation process to enable real-time monitoring and prediction of critical quality attributes of granules.
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Analyzing the mixing dynamics of an industrial batch bin blender via discrete element modeling method
Maitraye Sen,Subhodh Karkala,Savitha S. Panikar,Olav Lyngberg,Mark D. Johnson,Alexander J. Marchut,Elisabeth Schäfer,Rohit Ramachandran +7 more
TL;DR: In this article, a discrete element model (DEM) was developed for an industrial batch bin blender in which three different types of materials are mixed, and the mixing dynamics have been evaluated from a model-based study with respect to the blend critical quality attributes (CQAs) which are relative standard deviation (RSD) and segregation intensity.
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A Training on: Continuous Manufacturing (Direct Compaction) of Solid Dose Pharmaceutical Products
Sara Moghtadernejad,M. Sebastian Escotet-Espinoza,Sarang Oka,Ravendra Singh,Zhanjie Liu,Andrés D. Román-Ospino,Tianyi Li,Sonia M. Razavi,Savitha S. Panikar,James V. Scicolone,Gerardo Callegari,Douglas B. Hausner,Fernando J. Muzzio +12 more
TL;DR: An intensive hands-on training course has been developed and implemented at the Engineering Research Center for Structured Organic Particulate Systems (C-SOPS) based on 15 years of experience and several implemented systems to enable creation of similar programs at other institutions.
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A systematic framework to monitor mulling processes using Near Infrared spectroscopy
Suyang Wu,Savitha S. Panikar,Ravendra Singh,Jun Zhang,Benjamin J. Glasser,Rohit Ramachandran +5 more
TL;DR: In this paper, the authors present a systematic framework of using Near Infrared (NIR) spectroscopy to monitor moisture content in an alumina mulling process that is commonly used in the upstream operation of catalyst supports production.