Analyzing Data: An Extensive Investigation Of Bucket Loading Resistance Utilizing Dem

Emma Johnson

Department of Engineering Analytics, Northern Institute of Technology, Lakeview, 56789, Australia


Abstract

The discrete unit method, an approach that conceptualizes a medium as a collection of discrete independent moving units, has found broad utility in building mathematical models based on the properties of these discrete bodies. It treats the subject of analysis as a set of discrete particles, aligning with the inherent characteristics of the discrete bodies themselves. EDEM software, rooted in the discrete unit method, is widely employed across numerous fields for swiftly and efficiently simulating processes. This software empowers in-depth analysis of simulation results, encompassing various aspects like graphical representations, particle tracking, transient analysis, and more. This abstract delves into several notable studies that leverage EDEM software to explore loader shoveling mechanisms. In one study, Yang investigated loader shoveling operations, offering insights into the process and its theoretical foundation [1]. Another researcher, Pang Lizhi, focused on the bucket wheel pick-up process, using EDEM software to simulate the horizontal pick-up process with a power plant's pick-up machine as the subject [2]. Wang introduced a coupling simulation analysis of RecurDynEDEM, constructing loader and material models using RecurDyn and EDEM, respectively. The study assessed the coupling effects between the loader's working device and the material under various trajectories [3]. Zheng, addressing real-world material extractor conditions, established an EDEM simulation model for the bucket wheel excavation process. This model, built on the discrete unit method, computed time course curves of excavation resistance for multiple buckets in the material collapse process. These calculations encompassed different burial depths and directions to evaluate maximum excavation resistance hazards under varying conditions [4]