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Integrated expression and general optimisation method of bucket shape line of backhoe hydraulic excavator

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Abstract

The bucket shape of a hydraulic excavator influences its excavating performance and is determined by its shape line. In this study, the inner surface line projected on the symmetrical plane of the bucket was adopted as the bucket shape line, and the value ranges of the main parameters for the shape line were investigated. By considering the centre of the arc at the bucket bottom as the origin, the Cartesian coordinate system was established, and the integrated equation of the bucket line was derived based on the geometric constraints related to the shape line. A general optimisation model of the bucket line was established using the integrated equation. The effects of four design variables on the optimisation goal were determined using the bucket of a 21 T excavator as an example, and the optimal shape line of the bucket was obtained using a genetic algorithm. The results indicated that the cutting angle decreased by 9.92 % in comparison with that before optimisation, which was beneficial in decreasing the digging resistance. Additionally, the aspect ratio decreased by 5.75 %, thereby reducing the bucket weight. Thus, the integrated expression and the optimisation of shape lines provide a general method and theoretical basis for optimising the bucket shape.

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Acknowledgments

This work was funded by National Natural Science Foundation of China (No: 51605270), the Natural Science Research Project of Shaanxi Province (No: 2019JQ-884) and the Shaanxi Provincial Department of Education Scientific Research Project (No: 19JK0172).

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Authors and Affiliations

  1. College of Mechanical Engineering, Shaanxi University of Technology, Hanzhong, 723000, China

    Haoran Sun, Zhigui Ren, Junli Wang, Weifeng Wei, Yongyong Liang & Minghao Feng

Authors
  1. Haoran Sun
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  2. Zhigui Ren
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  3. Junli Wang
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  4. Weifeng Wei
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  5. Yongyong Liang
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  6. Minghao Feng
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Corresponding author

Correspondence to Zhigui Ren.

Additional information

Haoran Sun received B.E. degree from Yanshan University, China, in 2018. Now he is studying for a Master’s degree at Shaanxi University of Technology. His current research interest is optimization of bucket structure of excavator.

Zhigui Ren received Ph.D. degree from Chongqing University, China, in 2014. Now he is an Associate Professor in Shaanxi University of Technology. His current research interests are hydraulic excavator excavation resistance analysis, theoretical digging force research, hydraulic system energy saving and work device optimization design research work.

Junli Wang received Ph.D. degree from Northwestern Polytechnical University, China, in 2011. Now he works at Shaanxi University of Technology. His current research interests are aeroelastic, structural dynamics and fluid mechanics.

Weifeng Wei received Ph.D. degree from Xi’an University of Technology, China, in 2016. Now he works at Shaanxi University of Technology. His current research interests are cad/cam, optimization design theory and methods.

Yongyong Liang received Ph.D. degree from Lanzhou university, China, in 2014. Now he is a Lecturer in Shaanxi University of Technology. His current research interests are mechanical system simulation, mechanical performance analysis.

Minghao Feng received B.E. degree from Shaanxi University of Technology, China, in 2019. His current research interest is optimal design of backhoe hydraulic excavator working device based on synthesis digging.

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Sun, H., Ren, Z., Wang, J. et al. Integrated expression and general optimisation method of bucket shape line of backhoe hydraulic excavator. J Mech Sci Technol 35, 2543–2550 (2021). https://doi.org/10.1007/s12206-021-0525-0

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  • DOI: https://doi.org/10.1007/s12206-021-0525-0

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