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author:

Lin, S. (Lin, S..) [1] | Lu, Z. (Lu, Z..) [2] | Wei, S. (Wei, S..) [3] | Chen, J. (Chen, J..) [4] | Gu, T. (Gu, T..) [5] | Xie, Y. (Xie, Y..) [6]

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Scopus

Abstract:

To address the issues that the existing excavator component parameter optimization design could not ensure optimal performance across various positions and conditions throughout the excavation operations, and did not consider the energy consumption characteristics of the operational processes, a new multi-objective optimization design method of excavator work device parameters with the target of the power and energy consumption characteristics of the whole typical working condition operational processes was studied. Through the dynamics simulation of the ADAMS-based parametric excavator virtual prototype, the drive force and power characteristics of the hydraulic cylinders in four typical operating conditions were analyzed, the optimization conditions of work devices were determined, and a new multi-objective optimization model was established which considering the drive force transmission ratio and power characteristics of the hydraulic cylinders in the typical operating conditions. The parameters of the bucket, stick and boom were optimized in a sequential multi-objective process in combination with the parametric virtual prototype of a complete excavator work device. The optimization results demonstrate the effectiveness of the new multi-objective optimization method by improving the performance of the work device in transmitting power during excavator operations while reducing the energy consumption of the hydraulic cylinders. © 2025 Chinese Mechanical Engineering Society. All rights reserved.

Keyword:

excavator main component parameter multi-objective optimization processing characteristics sequence optimization virtual prototype

Community:

  • [ 1 ] [Lin S.]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China
  • [ 2 ] [Lu Z.]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China
  • [ 3 ] [Wei S.]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China
  • [ 4 ] [Chen J.]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China
  • [ 5 ] [Gu T.]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China
  • [ 6 ] [Xie Y.]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China

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Source :

China Mechanical Engineering

ISSN: 1004-132X

Year: 2025

Issue: 6

Volume: 36

Page: 1371-1379

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 0

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