Investigators - Mining Engineering

Faculty members pursuing energy-related research, who are affiliated with the Department of Mining Engineering (http://mining.mst.edu/) follow. Click on the person's name to view a brief description of their research interests or click on the web site for more information. Click on an e-mail address to correspond. You may also find additional information by clicking at the left on the 'Research/Publications' category.

Kwame Awuah-Offei, http://web.mst.edu/~kabp3/ kwamea@mst.edu

Samuel Frimpong, http://mining.mst.edu/, frimpong@mst.edu

Dr. Kwame Awuah-Offei is an assistant professor of mining engineering. He holds a PhD from Missouri S&T (he did most of his PhD work at the University of Alberta). Dr. Awuah-Offei has extensive experience in modeling and simulation of discrete and dynamic systems in mining. His current research interests include modeling and optimization of energy use in mining. Dr. Awuah-Offei’s recent work includes optimizing cable shovel digging trajectories by minimizing energy per unit loading rate and stochastic modeling of truck-shovel operations for diesel fuel savings. His ongoing efforts explore the effect of power quality on performance and energy needs of electric mining tools like draglines.

Other interests are mining equipment performance evaluation, earthmoving equipment-formation interactions, and sustainable mining systems. He has worked in surface gold mining and aggregate operations. Dr. Awuah-Offei is a member of Society of Mining, Metallurgy and Exploration and the Canadian Institute of Mining.

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Dr. Samuel Frimpong's research interest is in Synthetic Fuels Recovery. Current synthetic fuel research uses fundamental and applied research for developing advanced technologies toward machine health and longevity, workplace safety and employee health in the recovery of large tar sands and coal reserves in the United States. Crude oil and gas provide 62 percent of the United States’ energy and almost 100 percent of its transportation fuels and coal accounts for 52 percent of US electrical power requirements. The US National Energy Policy predicts an expected demand for an extra 50% natural gas and 33% crude oil supply by 2022. This projected demand increase coincides with severe supply shortages due to declining field production capacities and political constraints in producing countries. Synthetic fuels from tar sands and coal reserves will be vital in securing US national energy security. There exist over 145 billion barrels of crude oil in tar sands and other heavy oil reserves and over 280 billion tons of coal reserves (which is equivalent to 250 years at the current production rate) in the United States. Synthetic fuel recovery research is focused on intelligent excavation and machine control (IEMC), intelligent sensing and vision control (ISVC), geometric design and virtual prototype engineering (GDVPE) and novel recovery technologies. IEMC uses machine kinematics and dynamic theories and virtual prototype simulation to model machine fatigue and vibrations and to develop dynamic control technologies for mitigating their impacts in the excavation process. ISVC research is focused on developing sensing and vision capabilities for dump trucks and shovels in large-scale synthetic fuels production. GDVPE research is focused on developing the terrain articulated pipe arm, flexible FLEXRITE pipe arm and hydraulic jet theory for the economic extraction of tar sands, multi-phase tar sands slurry flow characterization, geometric design and bench low simulation.

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