M. R. Khadilkar

Washington University in St. Louis

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Muthanna H. Al‐Dahhan

Missouri University of Science and Technology

M.P. Duduković

Washington University in St. Louis

Yi Jiang

Chinese Academy of Sciences

Milorad P. Duduković

Washington University in St. Louis

Yuanxin Wu

Washington University in St. Louis

Ghazwan S. Ahmed

University of Tikrit

Shine Chou

Neurocrine Biosciences (United States)

R. Kahney

Monsanto (United States)

Yuting Wu

Jingdezhen Ceramic Institute

M. Colakyan

Particulate Solid Research (United States)

Cooperative Institutions

Washington University in St. Louis

Monsanto (United States)

Sasol (South Africa)

University of Pretoria

Sandia National Laboratories California

Université Laval

University of Buenos Aires

Laboratoire de Génie Chimique

Polytechnique Montréal

Ohio University

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

CFD of multiphase flow in packed‐bed reactors: II. Results and applications

AIChE Journal (2002)

Yi Jiang M. R. Khadilkar Muthanna H. Al‐Dahhan M.P. Duduković

Abstract Numerical simulations of multiphase flow using the k‐fluid CFD model described in Part I of this issue are presented for packed beds at various operating conditions. Both steady‐state and unsteady‐state (e.g., periodic operation) feed conditions were studied numerically. Predictions of the k‐fluid CFD model are comparable with the experimental data in the literature for liquid upflow in a cylindrical packed bed. In addition to the mean porosity and the longitudinally averaged radial porosity profile, the variance of the porosity distribution is needed for predicting the probability density function of the sectional flow velocity. In the trickling flow regime, the k‐fluid CFD model provides reasonable predictions of the global liquid saturation and the pressure gradient. Relevant applications of the k‐fluid CFD model are identified in quantifying the relationship between bed structure and flow distribution in various‐scale packed beds. The combined flow‐reaction modeling scheme is proposed through the “mixing‐cell” network concept, in which the k‐fluid CFD simulation can provide the information on sectional flow distribution.

Multiphase flow

10.1002/aic.690480407

Cite

Citations (71)

Investigation of a complex reaction network: I. Experiments in a high‐pressure trickle‐bed reactor

AIChE Journal (1998)

M. R. Khadilkar Yi Jiang Muthanna H. Al‐Dahhan M.P. Duduković Shine Chou

Abstract A high‐pressure trickle‐bed reactor was used to achieue high productivity and selectivity for the manufacture of a key herbicide intermediate (α‐aminomethyl‐2‐furanmethanol) (amino alcohol, AA) from α‐nitromethyl‐2‐furanmethanol (nitro alcohol, NA). Raney Nickel catalysts of varying activity were prescreened for suitability in tricklebed operation. The effect of operating parameters such as reactant feed concentration, liquid mass uelocity, and temperature on the yield of amino alcohol (A) for RNi‐a are discussed. The superiority of trickle‐bed reactors ouer others such as semibatch and batch sluny systems is demonstrated. The AA yield increases with decrease in feed reactant concentration and liquid mass velocity, as well as with lowering of the operat ing temperature. A maximum product yield of 90.1% was obtained at 8.3 wt. % feed concentration of nitroalcohol (NA), while at the highest feed concentration of 40 wt. % NA, the maximum product yield was 58%. The volumetric productivity of AA was significantly higher at higher reactant feed concentrations, even though the yield was lower under these conditions. The operating temperature was also an important parameter, with a lower temperature being preferable for trickle‐bed experiments. Bed dilution with inert fines improued catalyst utilization and increased the AA yield and productivity in the laboratory‐scale trickle‐bed reactor.

Trickle-bed reactor

Inert

Dilution

TRICKLE

Simulated moving bed

10.1002/aic.690440416

Cite

Citations (9)

Evaluation of trickle bed reactor models for a liquid limited reaction

Chemical Engineering Science (1996)

Yuanxin Wu Muthanna H. Al‐Dahhan M. R. Khadilkar Milorad P. Duduković

Isothermal process

Trickle-bed reactor

10.1016/0009-2509(96)00142-x

Cite

Citations (24)

Single phase flow modeling in packed beds: discrete cell approach revisited

Chemical Engineering Science (2000)

Yi Jiang M. R. Khadilkar Muthanna H. Al‐Dahhan M.P. Duduković

Momentum (technical analysis)

10.1016/s0009-2509(99)00453-4

Cite

Citations (38)

Trickle-bed reactor models for systems with a volatile liquid phase

Chemical Engineering Science (1999)

M. R. Khadilkar Patrick L. Mills M.P. Duduković

Trickle-bed reactor

Chemical reaction engineering

Liquid phase

Chemical reactor

Pellet

10.1016/s0009-2509(98)00503-x

Cite

Citations (53)

Comparison of trickle-bed and upflow reactor performance at high pressure: Model predictions and experimental observations

Chemical Engineering Science (1996)

M. R. Khadilkar Yuanxin Wu Muthanna H. Al‐Dahhan M.P. Duduković M. Colakyan

Trickle-bed reactor

TRICKLE

Cumene

Limiting

Reaction rate

Liquid flow

Pellet

10.1016/0009-2509(96)00071-1

Cite

Citations (101)

Multicomponent Flow-Transport-Reaction Modeling of Trickle Bed Reactors: Application to Unsteady State Liquid Flow Modulation

Industrial & Engineering Chemistry Research (2005)

M. R. Khadilkar Muthanna H. Al‐Dahhan M.P. Duduković

A one-dimensional reactor and catalyst pellet scale flow-transport-reaction model utilizing the multicomponent Stefan−Maxwell formulation for inter- and intraphase transport is developed to simulate unsteady state operation in trickle bed reactors. The governing equations and method of solution are discussed. Results are presented for a model reaction system (hydrogenation of α-methylstyrene) under gas reactant limiting conditions, for liquid flow modulation as a test case of unsteady state operation. Model simulations predict that periodic liquid flow modulation can alter the supply of liquid and gaseous reactants to the catalyst and result in reactor performance enhancement above that achieved in steady state operation. The effects of key modulation parameters such as the total cycle period, cycle split, and liquid mass velocity are simulated, and model predictions are found to be in agreement with experimentally observed trends in the literature.

Trickle-bed reactor

Modulation (music)

Continuous reactor

TRICKLE

Chemical reactor

10.1021/ie0402261

Cite

Citations (26)

Prediction of Pressure Drop and Liquid Holdup in High-Pressure Trickle-Bed Reactors

Industrial & Engineering Chemistry Research (1998)

Muthanna H. Al‐Dahhan M. R. Khadilkar Yuting Wu M.P. Duduković

The Holub et al. (1992, 1993) phenomenological model for pressure drop and liquid holdup in trickle flow regime at atmospheric pressure was noted by Al-Dahhan and Dudukovic (1994) to systematically underpredict pressure drop at high pressure and high gas flow rates. In this study, the Holub et al. (1992, 1993) model has been extended to account for the interaction between the gas and liquid phases by incorporating the velocity and the shear slip factors between the phases. As a result, the prediction of pressure drop at the operating conditions of industrial interest (high pressure) has been improved noticeably without any significant loss in predictability of liquid holdup. The extended model and the comparison between its prediction and experimental high pressure and high gas flow rate data are presented and discussed.

Liquid flow

TRICKLE

10.1021/ie970460+

Cite

Citations (64)

Investigation of a complex reaction network: II. Kinetics, mechanism and parameter estimation

AIChE Journal (1998)

Yi Jiang M. R. Khadilkar Muthanna H. Al‐Dahhan M.P. Duduković Shine Chou

Abstract Conventional strategies for discrimination of intrinsic and apparent kinetics from crushed‐ and whole‐catalyst‐pellet experimental data, respectively, do not yield satisfactory results for the reaction network in the manufacture of (α‐aminomethyl‐2‐furanmethanol) (aminoalcohol) from αnitromethyl‐2‐furanmethanol (nitroalcohol). Laboratory trickle‐bed reactor tests in the range of concentration and product yield of commercial interest are utilized to yield a reasonable set of kinetic parameters, which are otherwise unobtainable. This is accomplished by proposing a reaction network, a plausible mechanism, and optimizing the kinetic parameters based on the reactor‐model‐generated peformance data to fit experimental output concentrations of all species for the entire set of experiments. A complex reaction network for the key reactions in the system is developed based on the reaction scheme in Part I. Fitting of trickle‐bed reactor data to this model is attempted to yield an insight into the actual kinetics. The results show promise of obtaining an overall network kinetic model, even with the limited data available.

Experimental data

Network model

Pellet

10.1002/aic.690440417

Cite

Citations (5)

CFD modeling of multiphase flow distribution in catalytic packed bed reactors: scale down issues

Catalysis Today (2001)

Yi Jiang M. R. Khadilkar Muthanna H. Al‐Dahhan Milorad P. Duduković

Multiphase flow

CFD-DEM

Flow conditions

Scale-up

10.1016/s0920-5861(00)00642-8

Cite

Citations (42)