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IJMERR 2022 Vol.11(5): 304-310

Design of a Discrete Element Method Parameter Identification System for the Efficient Excavation of Mining Shovels Based on Excavation Resistance Analysis

Hiroyasu Iwata1, Siyuan Yu2, Saiya Mizushima2, and Shinji Yamamura2
1. Faculty of Science and Engineering, Waseda University, Tokyo, Japan
2. Graduate School of Creative Science and Engineering, Waseda University, Tokyo, Japan

Abstract—Recently, fluctuations in the cost of labor and prices of natural resources have increased the difficulty of the business environment for mine development. Therefore, it is necessary to improve excavation efficiency using hydraulic excavators. Getting the actual excavation resistance for efficient excavation is challenging. To obtain lower resistance in excavation, we aimed to design a Discrete Element Method (DEM) parameter identification system that can calculate excavation resistance. To validate two calculation models in this system, we used a robot arm, different excavation objects, and a DEM software to compare the resistance between the actual excavation and the simulation. We selected the calculation model more approximate to the actual excavation resistance. Thus, our experiments could prove data similarities between simulation and actual excavation. However, a part of excavation resistance is still not approximated in simulation. Therefore, we conducted experiments using steel balls to identify the relationship between the physical properties of excavation objects and the calculated resistance. We obtained conclusions on making calculated resistance more approximate to actual excavation resistance by adjusting the properties.

Index Terms—discrete element method, physical properties excavation resistance, adjustable parameter, parameter identification, excavation trajectories

Cite: Hiroyasu Iwata, Siyuan Yu, Saiya Mizushima, and Shinji Yamamura, "Design of a Discrete Element Method Parameter Identification System for the Efficient Excavation of Mining Shovels Based on Excavation Resistance Analysis," International Journal of Mechanical Engineering and Robotics Research, Vol. 11, No. 5, pp. 304-310, May 2022. DOI: 10.18178/ijmerr.11.5.304-310

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