Proceedings of the Global Innovation and Technology Summit “AAROHAN 3.0”_Engineering track (GITS-EAS 2025)

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Material Characterization of Shape Memory Alloys Using SEM, XRD, and Chemical Composition Analysis for Smart Engineering Applications

Authors
Pankaj Kumar Rawat1, *, Sandip Kumar Singh1
1Mechanical Department, UNSIET, Bahadur Singh Purvanchal University, Jaunpur, UP, India
*Corresponding author. Email: pankaj.mech0008@gmail.com
Corresponding Author
Pankaj Kumar Rawat
Available Online 19 April 2026.
DOI
10.2991/978-94-6239-644-9_11How to use a DOI?
Keywords
Shape Memory Alloys (SMAs); NiTi Alloy (Nitinol); Shape Memory Effect (SME); SEM; XRD; EDS; Biomedical; Aerospace
Abstract

Shape Memory Alloys (SMAs) are advanced materials with the ability to retain their initial form upon heating due to their unique shape memory effect (SME) and pseudo elasticity due to the phase transformations of martensitic to austenitic.This memory effect originates from the reversible phase changes of austenite and martensite crystalline structures. These alloys are biocompatible, that is, they do not cause any kind of reaction in the human body; they are lightweight, high damping capacity, corrosion-resistant, stability and incorporate a superior thermal sensitivity. This study concentrated on the microstructural and phase characteristics of SMAs using SEM, XRD, and EDS for chemical composition analysis. SEM analysis reveals surface morphology and martensitic structures, while XRD confirms the presence of both martensite and austenite phases. Chemical composition testing validates the alloy’s purity and elemental distribution. SMAs have revolutionized applications in civil engineering, biomedical, industrial, aerospace, automotive, and robotics fields. This articles provide a comprehensive review on material behavior, which is necessary for engineering applications.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Global Innovation and Technology Summit “AAROHAN 3.0”_Engineering track (GITS-EAS 2025)
Series
Advances in Engineering Research
Publication Date
19 April 2026
ISBN
978-94-6239-644-9
ISSN
2352-5401
DOI
10.2991/978-94-6239-644-9_11How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Pankaj Kumar Rawat
AU  - Sandip Kumar Singh
PY  - 2026
DA  - 2026/04/19
TI  - Material Characterization of Shape Memory Alloys Using SEM, XRD, and Chemical Composition Analysis for Smart Engineering Applications
BT  - Proceedings of the Global Innovation and Technology Summit “AAROHAN 3.0”_Engineering track (GITS-EAS 2025)
PB  - Atlantis Press
SP  - 137
EP  - 143
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-644-9_11
DO  - 10.2991/978-94-6239-644-9_11
ID  - Rawat2026
ER  -