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Academic Qualification
Research Interests
Conference Attended
Special Achievements

Dr Ajay Mandal

Ph.D., Dept. of Chem. Engg., IIT Kharagpur

M.ChE., Dept. of Chem. Engg., Jadavpur University

B.Tech., Dept. of Chem. Engg., Calcutta University

B.Sc., Chemistry Honours, Calcutta University

Research Interests
Multi-phase Flow: The efficient dispersion of gases in liquids is of major importance in many chemical engineering operations and its significance continues to grow with the development of pollution control, fermentation and waste treatment problems. This has initiated a wide interest amongst researchers and designers to develop efficient systems for the dispersion of gases in liquids. A review of literature on the design and development of fluid-fluid contacting equipment shows that contactors or reactors belonging to the jet-mixing category with cocurrent or countercurrent contacting of phases such as ejectors, venturies and other similar devices are gaining importance because of the high interfacial area and mass transfer coefficients available in such systems. On the other hand, a co-current downflow system possesses some unique advantages viz. finer and uniform bubble size, negligible coalescence of bubbles, homogenization of the phases, higher residence time of the gas bubbles and a well back mixing particularly in the plunging zone.

Good knowledge of the extent of gas dispersion in the liquid phase, mass transfer parameters (interfacial area and mass transfer coefficients), pressure drop characteristic and energy dissipation is essential for the modeling, design and optimization of bubble column.

The present work consists of a systematic study on gas entrainment and ejector performance, gas dispersion (gas holdup), bubble size distribution, pressure drop analysis, mass transfer characteristics and energy analysis for cocurrent gas-liquid two-phase downflow system. The variations of different parameters with different operating and geometric variables were investigated meticulously. The experimental results have been analyzed by established models. Some correlations were also developed to analyze the data in terms of physical, operating and geometric variables.