Dr. Arijit Ganguly's Talk

Aug 10, 2017 - 17:00

Aug 10, 2017 - 18:00

Rm. No. 118 Ground floor Chemical Engg. Dept.

Seminars

Dr. Arijit Ganguly Sabic

Abstract: Computational Fluid Dynamics plays a big role in the design and optimisation of process equipments. The present effort is to demonstrate through real life examples the following: 1. Optimization of equipment’s: How CFD has been useful in providing recommendations to increase efficiency of process equipment’s i.e. Rotating equipments extraction columns and fixed bed reactors. Improvement in efficiencies of rotating equipment’s has improved energy savings during operations while reduction in back-mixing in extraction columns has reduced the height of the columns. Similarly improvement in flow mal-distribution recommendations provide stability of the beds in fixed bed reactors. 2. Mathematical model development: (i) For mass transfer across fluid-fluid interfaces which helps in understanding the flow patterns inside rising droplets for gas-liquid or liquid-liquid systems. (ii) Modeling of droplet coalescence has provided new insights in understanding fluid bridge building and internal circulations during droplet coalescence. (iii) Model development for boiling outside tubes and condensation inside tubes. These models have helped providing recommendations to reduce stratification in safety systems (heat exchangers) for advanced nuclear reactors 3. An example of integrating process modelling and CFD is demonstrated. Integration of velocity and temperature profiles from CFD can be useful in modelling the bed behaviour using Aspen Custom modeller. 4. A research plan to develop of cutting edge technologies like micro-extractors and scale-up for separation at industrial scale. This involves design of micro-extractors development of mass transfer models to understand fluid dynamics (coalescence and breakup) and mass transport in micro-extractors scale-up and scale-out procedures for micro-extractors and flow distribution when many units are integrated for commercial scale seperations.Bio: Arijit Ganguli was born in Bishnupur West Bengal in 1978. He did his schooling and college in Mumbai India. He completed his bachelor's degree in Chemical Engineering from the University of Mumbai in the year 2000. He worked in a software firm as an Assistant Consultant and was a visiting lecturer in Khalsa College Mumbai in Computer Science Department in the year 2001-2002. He completed his Masters degree from Shivaji University in the year 2004. His primary task in his Master’s project was to develop CFD code for natural convection. He completed his PhD from Institute of Chemical Technology (ICT) Mumbai the thesis titled “Studies in heat transfer: Role of phase change and non-condensable gases” in April 2009. His major work during his PhD comprised of development of Computational Fluid Dynamic models for heat transfer of multiphase processes like boiling condensation and turbulent natural convection (mostly with Ansys Fluent and CFX) and validating them with the help of experiments (Particle Image Velocimetry High Speed camera etc). After his PhD degree he went for Post-Doctorate in Europe (Germany and Switzerland) where his major work was developing mathematical models for mass transfer across interfaces and studying droplet coalescence (as in extraction columns). He has 18 publications in scientific journals of international repute like Chemical Engineering Science AIChE Physics of Fluids Chemical Engineering Research and Design (ChERD) and Industrial Engineering Chemistry and Research (IECR). He has been a reviewer of journals like Nuclear Engineering and Design and Chemical Engineering Research and Design. In 2011 he joined a manufacturing firm to use his modeling expertize with the primary role of design and optimization of chemical engineering equipments. In September 2013 he joined SABIC Research and Technology Ltd. in Bangalore and is working with a team of scientists for optimization of Industrial Fixed Bed reactors process modeling of existing chemical processes and supporting existing plants for providing recommendations to improve the yield of products. During this period he got good exposure on catalysis and reaction engineering with hands-on experience on Process Modeling softwares like Aspen. Note: This seminar is mandatory for those registered in CL 702/704.