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Wear Analysis of NiTi Sand Screens Using Altair Discrete Element Method.
Azubuike Hope Amadi1, Mysara Mohyaldinn1, Abdullah Abduljabbar1
1Petroleum Engineering Department, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Malaysia.
Materials (Basel, Switzerland)
|January 23, 2024
Summary
Nitinol (NiTi) Shape Memory Alloy (SMA) sand screens show reduced wear compared to traditional materials, especially under impact loads. The Oka wear model, focusing on impact, accurately predicts NiTi
Area of Science:
- Materials Science
- Mechanical Engineering
- Tribology
Background:
- Sand screens are critical components in various industrial applications, often subjected to abrasive and impact wear.
- Nitinol (NiTi), a Shape Memory Alloy (SMA), offers unique properties but its wear behavior in sand screen applications requires detailed investigation.
- Traditional materials like SUS630 and Cr-Mn white cast iron are commonly used but may not offer optimal performance under specific wear conditions.
Purpose of the Study:
- To investigate the wear behavior of NiTi sand screens using discrete element method (DEM) simulations.
- To compare the wear performance of NiTi with traditional materials (SUS630, Cr-Mn white cast iron) under simulated conditions.
- To evaluate the effectiveness of different wear models (Oka and Archard) in predicting sand screen wear.
Main Methods:
- Utilized Altair EDEM v2022.2 software for discrete element method (DEM) analysis.
- Employed Oka and Archard wear models to simulate the wear of Nitinol (NiTi) sand screens.
- Considered key mechanical properties: Poisson's ratio, solid density, shear modulus, and Young's modulus.
Main Results:
- The Oka model predicted significantly higher wear and deformation, aligning better with sand screen wear phenomena due to its focus on impact.
- NiTi exhibited reduced wear losses compared to SUS630 and Cr-Mn white cast iron under impact load conditions, as predicted by the Oka model.
- Particle size distribution and cumulative contact energy were identified as potential predictors of wear response.
Conclusions:
- The Oka wear model provides a more suitable representation of sand screen wear mechanisms, particularly impact-driven wear.
- Nitinol (NiTi) demonstrates superior wear resistance compared to conventional high-toughness materials under impact loading.
- Further research is recommended to explore microstructural changes, temperature effects, and refine DEM simulations for SMAs.
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