Ashanendu Mandal has graduated with a B. Sc in Chemistry and B. Tech in Chemical Engineering from the University of Calcutta. He has got his M. Tech Degree in Chemical Engineering from IIT, Kharagpur. He has acquired an MBA degree in Finance from IGNOU, New Delhi, and has undertaken an Advanced Management Program from IIM Calcutta. He has also acquired the Degree of Ph. D. (Tech) in Chemical Engineering from the University of Calcutta.
Dr. Mandal has worked in ONGC for more than 34 years and his experience includes commissioning, modifications, safety, operations, artificial lifts, pressure maintenance, EOR, and planning in offshore and onshore oilfields. He has also vast experience in marketing upstream and downstream petroleum products.
Dr. Mandal has published technical papers in Chemical Weekly and research papers in many international journals. He has visited more than 25 countries for attending training programs and for participating in international conferences as an invited speaker or panelist. Dr. Mandal is a lifetime member of the Indian Chemical Society and Indian Science Congress.
This research aims for the adsorptive removal of phenol from wastewater by solid materials generated from biological wastes viz. guava tree bark, rice husk, neem leaves, activated carbon from coconut coir, and industrial wastes viz. rice husk ash, red mud, clarified sludge from basic oxygen furnace, activated alumina. The adsorbents are characterized by SEM, XRD, FTIR, and BET analyzers. The experiments of phenol removal are carried out with the variation of initial phenol concentration (5-500 mg/L), initial pH (2-12), adsorbent dose (0.10-20 gm/L), temperature (25-50°C), and contact time (30-600 min). The maximum removal obtained is 97.50%. The kinetics shows that the pseudo-second-order model is best fitted for all adsorbents except red mud. The kinetic modelings show that the adsorption mechanism is supportive of film diffusion, intra-particle diffusion, and chemisorption for all adsorbents. The isotherm analysis suggests that the Freundlich isotherm model is best supportive for guava tree bark, rice husk, neem leaves, activated carbon, red mud, and activated alumina, whereas Langmuir and D-R isotherm is best supportive for rice husk ash and clarified sludge respectively. The thermodynamics shows the spontaneity, randomness, and endothermic/exothermic nature of the adsorption processes. The ANN modeling using two popular algorithms viz., Levenberg-Marquardt and Scaled Conjugate Gradient establishes that the experimental and predictive data are within the allowable range. The scale-up designs are performed for their commercial applications. The regeneration and the safe disposal of used adsorbents are also studied for checking their wider industrial applicability.