Research on optimization of bulldozer blade based on joint simulation technology

With the intensification of global environmental issues, the demand for energy conservation and emission reduction in construction machinery, including bulldozers, has increased. Bulldozers, in particular, face criticism for their high fuel consumption and emissions. This study introduces a co-simulation approach integrating RecurDyn (multibody dynamics) and EDEM (discrete element methods) to enhance bulldozer energy efficiency. A three-dimensional model of a tracked bulldozer was developed in RecurDyn, using empirical data and simplified physical properties. EDEM was employed to simulate material interaction through the creation of a material pile model. Data transfer between the two software platforms was achieved via a Wall file for comprehensive analysis. The study examined three different blade curvatures, finding that a moderate increase in curvature reduces resistance and power consumption, leading to improved energy efficiency. These findings provide valuable insights into energy-saving strategies for construction machinery and the optimization of bulldozer blade designs using co-simulation technology.

Authors

Institutions

Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/icemce64157.2024.10862139
Primary Topic
Mechanical Engineering and Vibrations Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on optimization of bulldozer blade based on joint simulation technology

Zhikai Chen, Bei Li, Xingyu Xiang, Ping Sun et al.
1 links
Mechanical Engineering and Vibrations Research
article

Research on optimization of bulldozer blade based on joint simulation technology

Zhikai Chen, Bei Li, Xingyu Xiang, Ping Sun, Jie Hou, Hongwei Yi
article en

Abstract

With the intensification of global environmental issues, the demand for energy conservation and emission reduction in construction machinery, including bulldozers, has increased. Bulldozers, in particular, face criticism for their high fuel consumption and emissions. This study introduces a co-simulation approach integrating RecurDyn (multibody dynamics) and EDEM (discrete element methods) to enhance bulldozer energy efficiency. A three-dimensional model of a tracked bulldozer was developed in RecurDyn, using empirical data and simplified physical properties. EDEM was employed to simulate material interaction through the creation of a material pile model. Data transfer between the two software platforms was achieved via a Wall file for comprehensive analysis. The study examined three different blade curvatures, finding that a moderate increase in curvature reduces resistance and power consumption, leading to improved energy efficiency. These findings provide valuable insights into energy-saving strategies for construction machinery and the optimization of bulldozer blade designs using co-simulation technology.

Xihua University (CN)
Guangxi University
Openalex Percentile: Top 73%
Mechanical Engineering and Vibrations Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Research on optimization of bulldozer blade based on joint simulation technology — Zhikai Chen, Bei Li, et al. · (2024) | TGRS Research Map | TGRS