Articles | Volume 17, issue 2
https://doi.org/10.5194/ms-17-935-2026
https://doi.org/10.5194/ms-17-935-2026
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
Metrics will be available soon.
Latest update: 27 Oct 2026
Download
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.
Share