Amadi Azubuike Hope, Mohyaldinn Mysara, Abduljabbar Abdullah, Ridha Syahrir, Avilala Prasad, Owolabi Gabriel Tayo
Petroleum Engineering Department, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Malaysia.
Institute of Hydrocarbon Recovery, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Malaysia.
Materials (Basel). 2024 Jan 5;17(2):281. doi: 10.3390/ma17020281.
This research explores discrete element method analysis to investigate the wear of NiTi Sand Screens in comparison to traditional materials. The study utilized Altair EDEM v2022.2 software and employed Oka and Archard models to simulate the wear behavior of Nitinol, a well-established Shape Memory Alloy (SMA). The mechanical properties considered include Poisson's ratio, solid density, shear modulus, and Young modulus. Results indicate significantly higher wear values and deformations with the Oka model compared to negligible wear with the Archard model. The Oka model's emphasis on impact as the primary wear mechanism, supported by high normal cumulative energy, better represents sand screen wear phenomena. Additionally, this study indicates that factors such as particle size distribution and normal and tangential cumulative contact energy hold potential as predictors of wear response and characteristics. The Oka model demonstrated that NiTi exhibited reduced wear losses compared to SUS630 and Cr-Mn white cast iron, both of which are recognized for their high toughness when subjected to an impact load. Experimental analysis validated the simulation findings with morphological and graphical erosion plots. The limitation of observing the shape memory effect through DEM (discrete element method) simulation was acknowledged. Recommendations include characterizing post-wear microstructural changes, exploring the influence of temperature on wear behavior, and further research to refine wear models and understand SMA sand screen responses.
本研究探索采用离散元法分析来研究镍钛砂筛相较于传统材料的磨损情况。该研究使用了Altair EDEM v2022.2软件，并采用冈田模型和阿查德模型来模拟镍钛诺（一种成熟的形状记忆合金（SMA））的磨损行为。所考虑的力学性能包括泊松比、固体密度、剪切模量和杨氏模量。结果表明，与阿查德模型可忽略不计的磨损相比，冈田模型的磨损值和变形显著更高。冈田模型强调冲击是主要磨损机制，这由高法向累积能量所支持，能更好地体现砂筛磨损现象。此外，本研究表明，诸如粒度分布以及法向和切向累积接触能量等因素有望作为磨损响应和特性的预测指标。冈田模型表明，与SUS630和铬锰白口铸铁相比，镍钛诺的磨损损失更低，后两者在承受冲击载荷时均以高韧性著称。实验分析通过形态学和图形侵蚀图验证了模拟结果。研究承认了通过离散元法（DEM）模拟观察形状记忆效应的局限性。建议包括表征磨损后的微观结构变化、探索温度对磨损行为的影响，以及开展进一步研究以完善磨损模型并了解形状记忆合金砂筛的响应。
