Research and Application of Automatic Production Technology of Drill Pipe Joint for Coal Mine
DOI:
https://doi.org/10.6919/ICJE.202508_11(8).0015Keywords:
Coal Mine; Joint of Drill Pipe; Automatic Processing; Optical Inspection; Research Application.Abstract
The current demand for drill pipe joints in the coal mining industry continues to rise, and has put forward higher requirements on its quality and production efficiency. Traditional manual and semi-automated production models are no longer able to meet the development needs of the industry. With the increasing improvement of automation technology, especially the technology combining industrial robots and CNC machine tools has been applied and widely recognized in many related fields. The article designs the overall plan for drill pipe joint workstations for coal mine tunnels. Through the research of processing equipment, automated loading and unloading systems and automatic detection technology, an automated and intelligent production line is designed and established. The automated workstation can realize a batch fully automated process from loading and unloading, processing and optical inspection. The application of workstations greatly reduces workers' labor intensity, improves production efficiency, product quality level, and production automation and intelligence level.
Downloads
References
[1] Wang L, Wang F .Optimization of operating costs for hybrid manufacturing production mode based on wireless sensor networks and robots[J].The International Journal of Advanced Manufacturing Technology,2025,(prepublish):1-11.
[2] Wang Xiaoyu, Zhao Zhi, Hua Chunlei, et al. Application of robot in flexible manufacturing system[J]. Manufacturing Technology & Machine Tool, 2012, (10): 63–67.
[3] Fu Qiulin, Lu Qingdong, et al. Development Status and Prospect of industrial Robot in China[J], 2020, 56(10): 217-218.
[4] Tian Dongzhuang, Chen Yanyu, Li Qing, Dong Mengmeng,et al. Reserch status and prospect of drill pipe thread used in coal min[J], Coal Geology & Exploration 2020, 56(10): 217-218.
[5] Shi Zhijun, Yao Ke,Yao Ningping,et al. 40 years of development and prespect on underground coal mine tunnel drilling technology and equipment in China [J], coal Science and Technology,2020, 48(4):1-34.
[6] Guo Zhiliang. Design and Research of Loading and Unloading System for Truss Robot of CNC Lathe[D]. Dalian: Dalian University of Technology, 2020.
[7] He Minjia, Jiang Wenming, et al. An Industrial Robot Suitable for Loading of CNC Machine Tools[J]. Mechanical & Electrical Engineering Technology, 2015, 44(08): 45-48.
[8] TIAN Dongzhuang, A kind of gripper in insustrial robot for grasping the drilling rod[J], Mining & Processing Equipment, 2009,37(17): 45-46.
[9] LU Zhenyu, Design and improvement of robot fixture [J], Robot Technique and Application, 2009.(05), 89-91.
[10] LIAO Nengjie,MA Ping,OU Jianguo,et al.Drsign of conteol System of Truss Robot For Loading and Unloading [J], Manchinery Design & manufacture,, 2020.(12): 171-175.
[11] LIU Linshan, LI Jianyong, et al.Reserch on control system of up-down materials truss robot for a CNC Machine[J], Manufacturing Automation,,2019,41(09): 108-110.
[12] WU Qiumei, ZHANG Mingzhu, et al.Reserch on Quantitative Detectiong Method of Tread Ring Gauge[J], Henan Science and Technology,2019,(26): 50-52.
[13] YAN Lu, Research on on-the-spot precision detection method of petroleum drill pipe thread [J], China Steel Focus, 2019.(01), 34-34+36
[14] ZHANG Yao, ZHANG Yunbo, ,et al. Optical surface detection based on deep learning [J], Acta Physice Sinicat, 2021.70(16): 45-46.
[15] WU Zhifeng, CHAI Xin,WANG Yabo, et al. Measurement of External thread size system basee on machine vision Non-contact[J], Acta Physice Sinicat, 2021.70(16): 45-46.
[16] China Coal Science and Technology Group Xi'an Research Institute Co.,Ltd. A large pitch conical external thread detection device and method:201811533417.9[P].2020-10-16.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 International Core Journal of Engineering

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.




