Process Engineering


Granular Materials Modeling

Software Engineering

Customizable Standards-based MDD Platform

Configurability, Extensibility, and Software Composition

Embedded Software Research

Model Driven Integration of Enterprise Data

Program Analysis

Requirements Engineering

Software-as-a-Service

Software Maintenance

Software Reverse and Re-Engineering

Software Testing

Process Engineering

Granular Material Modeling

Minerals and Materials Processing

Nanotechnology

Process Modeling and CFD

Thermal Processing of Materials

Virtual Manufacturing

Systems Research Lab

Initiatives

Analytics-led Simplify and Transform of IT Plants
Data Privacy
Improving Operational Efficiency using Corporate Historical Repositories

Exploratory Projects

Control System for Multi-Sensor Actuator System
Enterprise Data Management
Operational Risk Modeling

This research initiative has worked mainly on two broad areas. First, the modeling of granular system dynamics is carried out using a discrete particle simulation technique. Specifically, the material flow in a hopper is being investigated. A considerable amount of downtime in processing plants is attributed to hopper failure. Therefore, the visualization of material flow provides substantial insight, which is critical for hopper design and maintenance.

The second focus area is modeling fine particle grinding. Fine particles are ubiquitous in our everyday life. However, the energy expenditure increases exponentially as the particle size decreases. Some of the existing theories of conventional particle size reduction require modification in order to improve their applicability in the case of fine grinding (Powder Technology, 2006). It is anticipated that this improved modeling framework will enable better process control of the fine grinding operation.