Crunching The Numbers: A Comprehensive Study Of Bucket Loading Resistance Using Dem
Wang Wei Jun
School of Intelligent Engineering, Jinzhong College of Information, Jinzhong, 030800, China
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 RecurDyn-EDEM, 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].
Li, through data processing and simulation parameter setup, devised a shovel loading model within EDEM software for shovel excavation conditions. The model's accuracy was subsequently verified through experimental and simulation methods. The study simulated the shovel loading process and analyzed the resistance experienced by different parts of the bucket at different loading stages to pinpoint the peak of shovel loading resistance [5]. Lastly, Yu examined the characteristics of bulk materials and loader loading conditions, specifically delving into the features of rock materials. This study summarized the calculation methods for determining operating resistance and classified the factors influencing loading resistance during shoveling. The analysis focused on identifying key factors impacting the size of the loading resistance [6].