Abstract
The core structure of determining the working efficiency of the pump is plunger. The pump performance and pump well mismatch when the plunger moves continuously in the pump barrel with the appearance of adverse environment. The friction and corrosion between the plunger surface and the pump barrel are serious, which results in the failure of the plunger due to the damage of the outer surface of the plug. It affects the economic benefits and production development of the oilfield seriously. In this article, the non-smooth structure of the two soil organisms (for instance, earthworm and dung beetle) is analyzed and two bionic plungers are designed to address the aforementioned challenges. Initially, a thorough analysis is performed to recognize the main failure forms of the plunger through investigation and analysis of the development of international plunger. Later, the two bionic plungers with the performance of friction and wear reduction are designed using the non-smooth theory. In addition, the standard prototype is developed and the three-dimensional design of the two different plunger is carried out for validation purpose. The results are compared with the standard prototype. The stress environment on the surface of the plunger is improved, and the wear of the plunger is reduced. The effect forces of the two bionic plunger are 13.2% and 17.50%, respectively.
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Funding
The paper was supported by the Key scientific research projects of Hechi University (2019XJZD006), 2017 Guangxi University Middle and young teachers’ scientific research basic ability promotion project (2017KY0579), Design of sanitary robot for Provincial College Students' Innovation Training Project (S202110605066). Cocoon and silk project of Guangxi 2021 special fund for foreign economic and Trade Development: research and demonstration of intelligent silkworm stem and leaf picking equipment system (Gui Gong Xin Fang Yao [2021] No. 231).
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Wang, B., Chen, M., Lu, Z. et al. Optimized design of oil well pump plunger using bionic structure of decision system. Soft Comput 26, 10827–10836 (2022). https://doi.org/10.1007/s00500-022-07019-6
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DOI: https://doi.org/10.1007/s00500-022-07019-6