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Estimation of Residual Stress in Additive-Manufactured NiTi Alloy through Beam Mechanics and Finite Element Analysis

Rangaswamy, Sampreet, Gillick, Thomas, Monu, Medad Chiedozie Chiemela orcid logoORCID: 0000-0003-4104-7828, Ahad, Inam Ul orcid logoORCID: 0000-0002-3802-6156 and Brabazon, Dermot orcid logoORCID: 0000-0003-3214-6381 (2024) Estimation of Residual Stress in Additive-Manufactured NiTi Alloy through Beam Mechanics and Finite Element Analysis. In: SMST 2024, 6-10 May, 2024, Cascais, Portugal.

Abstract
Due to the unique characteristics of nitinol (NiTi) such as shape memory and super-elasticity, it is widely utilized in various industries, particularly in aerospace and biomedical applications [1]. Additive manufacturing technology can provide the accurate dimensioning of NiTi components, even for those with intricate and complex geometries [2]. However, the presence of residual stresses poses a significant concern from additive manufacturing. These residual stresses can adversely impact the structural integrity and performance of the manufactured parts, necessitating careful consideration and management [3]. This study delves into a distinctive approach for predicting residual stresses within additive manufactured NiTi components, employing a simple, non-destructive, and cost-efficient method that integrates beam mechanics equations with finite element analysis (FEA). This work aimed to develop a rapid and accurate method for measuring the residual stress from additively manufactured nitinol beams which will be validated via established techniques such as hole-drilling, XRD and/or neutron diffraction.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Subjects:Engineering > Materials
Engineering > Mechanical engineering
Engineering > Biomedical engineering
Mathematics > Mathematical models
Mathematics > Mathematical physics
Mathematics > Mechanics
DCU Faculties and Centres:UNSPECIFIED
Published in: SMST 2024: Proceedings Papers. . SMST.
Publisher:SMST
Official URL:https://dl.asminternational.org/shape-memory/proce...
Copyright Information:Authors
ID Code:32267
Deposited On:05 Feb 2026 11:00 by Sampreet Rangaswamy . Last Modified 05 Feb 2026 11:00
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