183 / 2021-03-31 19:49:04

A simulation-based approach to identify dozer blade loads for data acquisition decision making

Load identification; Dozer blade; Co-simulation; Acquiring data; Data acquisition experiment

Control and optimization of dynamic systems

This paper develops a simulation-based approach to facilitate data acquisition for the load spectrum compilation. A high-fidelity simulation should be conducted to accurately identify the working loads. Specifically, a RecurDyn-EDEM-AMESim co-simulation technique is developed to investigate the load paths within the work equipment of a dozer. The relationship between the soil reaction loads and joint forces of the blade were analyzed under a straight bulldozing condition. Consequently, the strain of the push arms and oil pressure of the lift cylinders were selected as the acquiring data since they characterize the longitudinal and vertical soil loads, respectively. The simulation results reveal features of the working loads and facilitate the decision making on the acquiring data and measuring positions for the data acquisition experiment. The proposed RecurDyn–EDEM–AMESim co-simulation will be used to acquire data in the situations where physical experiments are difficult to conduct in the follow-up study.