Parameter optimization of drilling procedure and its influence mechanism on drilling tool
Abstract Friction affects drilling efficiency and tool life in engineering surveys. Optimizing drilling parameters is crucial to reduce frictional resistance. This article conducts multi parameter optimization on specific geological formations, using H30-2A drilling rig equipped with 42mm drill pipe and 142mm opening diameter. Combining real-time data, optimizing drilling parameters using SPSS and multi-objective particle swarm optimization algorithm to obtain the optimal combination, improving drilling efficiency, extending drilling tool life, and reducing frictional resistance.
Authors
- Dajun Zhao (ORCID: https://orcid.org/0000-0002-1517-3014)
- Yong Chen (ORCID: https://orcid.org/0000-0002-9677-5710)
- Peng Yuan (ORCID: https://orcid.org/0000-0001-6492-0509)
- Guosheng Li (ORCID: https://orcid.org/0000-0003-4349-2079)
Institutions
- Jilin University (CN)
- Gansu Coalfield Geology Bureau (CN)
- China Railway Design Corporation (China) (CN)
Publication Details
- Journal
- Journal of Physics Conference Series
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1088/1742-6596/3021/1/012052
- Primary Topic
- Advanced machining processes and optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00