Research on the operation and quality control of small rock hole shotcrete robot

Author:

Zhang Zhonglin1,Li Weisheng1,Li Liquan1ORCID,Min Fanlin1,Li Ang1,Li Linxiang2

Affiliation:

1. College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin, China

2. School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China

Abstract

A small rock shotcrete robot is applied in the deep tunnel dynamic disaster physical simulation system in order to simulate the final operation process of the tunnel project. The robot’s spraying operation and control include many kind of factors. In this paper, the main parameters affecting the spraying operation are analyzed by establishing the spraying model and coating growth model. For matching reasonably the spraying parameters, the matching equation of spraying quality and spraying gun parameter model and spraying feed speed has been derived. Based on the matching equation, the spraying gun structure and robot control system are designed, and the spraying distance and spraying gun movement velocity including horizontal and vertical driving have been controlled better. On the basis of theoretical analysis, a small rock hole shotcrete robot prototype has been developed and the spraying experiments have been finished. The experimental results showed that the model and equation established can guided the spraying quality control. With the increase of the injection elevation angle, the length of the long and short axes of the elliptic coating becomes larger, and the average thickness of the coating center is between 2.23 and 2.34 mm, which meets the design index of the injection robot. The rock hole shotcrete robot meet the design requirements.

Funder

National Natural Science Foundation of China

Publisher

SAGE Publications

Reference34 articles.

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2. Fan B, Li Y, Rong X, et al. Kinematic analysis of multiple four-link robot (for gunite). Robot Research Center, Shandong Mining University, China Mining Industry, 1998; (04).

3. Fan B, Su X, Pang Z, et al. Remote control master-slave and automatic trajectory control gunite robot. Robot Research Center, Shandong Mining University, Mining Machinery, 1997; (09).

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