Professor
Narasimha Mangadoddy
CHE -305
···
Research Lab: CHE-004
PhD: Ph.D, JKMRC University of Queensland
Research Interests: Particulate Technology, Mineral Processing, Industrial CFD/DEM, Experimental Fluid Mechanics
“Understanding the interaction of different phases during the transport processes and separations is an important aspect, provides the scope for thorough insights and new efficient separation devices.”
Research Overview
The broad application of computational techniques such as CFD and DEM to particulate flows in chemical, mineral processing, and energy industries has a huge potential to understand the fundamental flow behavior, particle/disperse phase dynamics and influence of turbulence on separations. We also focus on experimental investigation of the phasic information utilizing process tomography (ERT, PEPT) and imaging techniques.
Research Highlights
Development and application the multi-phase computational models for mineral processing and particulate flows is challenging due to complex interaction of phases apart from their anisotropic turbulence. We develop these via CFD, DEM and coupled approaches.
Characterizing particulate flows is quite difficult due to its opaque and involved phasic interaction. We seek to measure these via process tomography such as Electrical Resistance Tomography (ERT) and Positron Emission Particle Tracking (PEPT) and imaging.
Most of the mineral separation units are designed vis trail and error or correlations based. We seek to develop new improved designs using multi-phase CFD and systematic experimental methods. Industrial Cyclones & spirals for coal separation, classification and gravity separation are made via this route.
Currently single avg. density mathematical modes (gravity spns). Multi-component performance models are necessary for performance prediction. We seek to simulate and understand the interactions between the different components using experimental and multiphase CFD methods, which may lead us to develop an improved mathematical models.
Selected Publications
Column flotation hydrodynamics in heterogeneous regime using ERT and CFD model
P Kopparthi; B Vadlakonda; N Mangadoddy
Journal: International Journal of Coal Preparation and UtilizationYear: 2025DOI: 10.1080/19392699.2024.2382781
A classification model concept for multi-component hydrocyclone performance
M Narasimha; A N Mainza; P Mandakini
GPU based discrete element modeling for convex polyhedral shape particles: Development and validation
Aman Mittal; Narasimha Mangadoddy; Raja Banerjee
A coupled CFD–DEM model for tumbling mill dynamics—Effect of lifter profile
Aman Mittal; Mayank Kumar; Narasimha Mangadoddy
Numerical modelling of two-phase flow hydrodynamics of column flotation - validation against ERT data
Vadlakonda, B.; Kopparthi, P.; Mangadoddy, N.
Journal: International Journal of Coal Preparation and UtilizationYear: 2023DOI: 10.1080/19392699.2023.2280659
Features of near gravitational material tracers in a dense medium cyclone from PEPT
Richter, M. C.; Mainza, A. N.; Govender, I.; Mangadoddy, N.; Sivakumar, R.; Sreedhar, G. E.; van Heerden, M. R.
GPU-based DEM code for mineral processing
Mittal A.; Mangadoddy N.; Banerjee R.
Numerical modelling in mineral processing
Rajendran S.; Reddy T.; Mangadoddy N.
CFD modelling of hydrocyclones
Vakamalla T. R.; Rajendran S.; Padhi M.; Mangadoddy N.
Numerical modelling of dense medium cyclones
Reddy T.; Mangadoddy N.