Optimization and experimental analysis of turbine airfoil of downhole generator based on genetic algorithm

Qu, Jun; Xue, Qilong; Tan, Xingyu; Li, Yingqi; Zhou, Peng

doi:10.5194/ms-17-935-2026

Articles | Volume 17, issue 2

https://doi.org/10.5194/ms-17-935-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/ms-17-935-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 2

Research article

|

27 Oct 2026

Research article |

| 27 Oct 2026

Optimization and experimental analysis of turbine airfoil of downhole generator based on genetic algorithm

Jun Qu, Qilong Xue, Xingyu Tan, Yingqi Li, and Peng Zhou

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Short summary

Reliable power is essential for instruments used in deep wells, where batteries may be unsuitable for long-term operation. We redesigned the blade of a small downhole turbine generator using computer-based optimization and verified it with simulations and laboratory tests. The new design improved a key flow-performance measure by 26.9 %. At the highest tested flow rate, torque increased by 30.2 % and rotational speed by 27.1 %, showing more effective conversion of flowing liquid into useful power.