Development of parameters for dynamic modeling of underground haulage vehicles
Copyright © 2016 by ASME. To address concerns of how mobile proximity detection systems will adapt to underground mobile haulage vehicles, researchers have collected and categorized data on the parameters of 145 mine haulage vehicles in 5 categories including load-haul-dump, shuttle car, roof bolter, haul truck, and mobile coal haulage (face drill, production drill, and others.) Statistical methods were used to determine the appropriate representative vehicle for each category. These representative vehicles' parameters and characteristics could then be used to develop a dynamic model that predicts their dynamic behavior on an underground haulageway surface. These models can be used in conjunction with worker escapability data and/or interaction with other vehicles to provide insight as to whether or not the proximity detection systems will be adequate for the underground mining workplace.
ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
Development of parameters for dynamic modeling of underground haulage vehicles.
ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE),
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/11913