eprintid: 20220
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/02/02/20
datestamp: 2024-06-04 14:19:57
lastmod: 2024-06-04 14:19:57
status_changed: 2024-06-04 14:16:53
type: article
metadata_visibility: show
creators_name: Amadi, A.H.
creators_name: Mohyaldinn, M.
creators_name: Abduljabbar, A.
creators_name: Ridha, S.
creators_name: Avilala, P.
creators_name: Owolabi, G.T.
title: Wear Analysis of NiTi Sand Screens Using Altair Discrete Element Method
ispublished: pub
keywords: Binary alloys; Cast iron; Density (specific gravity); Morphology; Particle size; Particle size analysis; Sand; Shape-memory alloy; Titanium alloys, Archard's models; Discrete elements method; Method analysis; Oka model; S ratio; Sand screens; Solid density; Traditional materials; Wear analysis; Wear behaviors, Wear of materials
note: cited By 1
abstract: 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. © 2024 by the authors.
date: 2024
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183322174&doi=10.3390%2fma17020281&partnerID=40&md5=e9ca6f97d1248adb11d8594d069164f2
id_number: 10.3390/ma17020281
full_text_status: none
publication: Materials
volume: 17
number: 2
refereed: TRUE
citation:   Amadi, A.H. and Mohyaldinn, M. and Abduljabbar, A. and Ridha, S. and Avilala, P. and Owolabi, G.T.  (2024) Wear Analysis of NiTi Sand Screens Using Altair Discrete Element Method.  Materials, 17 (2).