会议论文详细信息
2nd International Symposium on Resource Exploration and Environmental Science
Parameter Optimization of Drilling Based on Biogeography-based Optimization
生态环境科学
Zhang, Lixiu^1 ; Teng, Da^2 ; Shen, Qiang^2
Test and Analysis Center, Shenyang Jianzhu University, Shenyang
110168, China^1
School of Mechanical Engineering, Shenyang Jianzhu University, Shenyang
110168, China^2
关键词: Biogeography-based optimizations;    Drilling parameters;    Drilling pressure;    Mechanical drilling speed;    Multi-objective optimization models;    Optimization algorithms;    Parameter optimization;    Speed of revolutions;   
Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/170/2/022180/pdf
DOI  :  10.1088/1755-1315/170/2/022180
学科分类:环境科学(综合)
来源: IOP
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【 摘 要 】

In this paper, the drilling machine is taken as the research object. Based on the model of drilling rate and model of bit life, a multi-objective optimization model for drilling parameters is established, which is based on two parameters, drilling speed V and bit life tf, with drilling pressure W and speed of revolution N as design variables. The change and its regulation of bit life are considered on the premise of ensuring the speed of drilling, and the relationship between the sub targets of the drilling parameters optimization is explored. Through the analysis of the optimization results, it is found that there is a mutual restriction between the mechanical drilling speed and the life of the drill bit. It is proven that the bio-geographic optimization algorithm proposed in this paper and the multi-objective optimization model of drilling parameters is correct and effective.

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