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Enabling electrical response through piezoelectric particle integration in AA2017-T451 aluminium parts using FSP technology
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Resumo(s)
In the field of structural engineering, the integration of smart materials and structural health monitoring (SHM) has given rise to self-sensing materials (SSM), leading to a paradigm shift in SHM. This paper focuses on the interplay between self-sensing capabilities and the piezoelectric properties of lead zirconate titanate (PZT) and barium titanate (BT) in aluminium components. Leveraging Friction Stir Processing (FSP), the study explores the synthesis and performance of SSMs with embedded piezoelectric particles, potentially transforming structural engineering. The paper highlights FSP as a key methodology for incorporating piezoelectric particles into structural materials, showcasing its potential in developing SSMs with enhanced functionalities. A specific focus is placed on integrating PZT and BT particles into AA2017-T451 aluminium parts using FSP, with metallographic assessments and mechanical property evaluations conducted to analyse particle distribution and concentration. This study shows how BT and PZT particles are incorporated into AA2017-T451 aluminium to create a SSM that responds to external stimuli. Under cyclic loading, the SSMs exhibit a linear load-electrical response correlation, with sensibility increasing at lower frequencies. Metallographic analysis shows homogeneous particle distribution, while PZT induces increased brittleness and brittle fractures. Yield strength remains relatively stable, but ultimate strength decreases post-FSP. Hardness variations indicate weaker bonding with PZT particles. Eddy’scurrent testing aligns with hardness profiles, and sensorial characterization reveals a non-linear frequency-sensibility relationship, showcasing the SSMs’ suitability for low-frequency applications, particularly with PZT embedment.
Descrição
Funding Information:
PMF acknowledges FCT—Fundação para a Ciência e a Tecnologia for funding the PhD Grant UI/BD/151055/2021. PM F, M A M, C V and M S C acknowledge FCT— Fundação para a Ciência e a Tecnologia for its financial support via Projects UIDB/00667/2020 and UIDP/00667/2020 (UNIDEMI). F W C F acknowledges Fundação para a Ciência e a Tecnologia (FCT-MCTES) for funding the PhD Grant 2022.13870.BD.
Publisher Copyright:
© 2024 The Author(s). Published by IOP Publishing Ltd.
Palavras-chave
advanced materials friction stir processing piezoelectric materials self-sensing material structural health monitoring Signal Processing Civil and Structural Engineering Atomic and Molecular Physics, and Optics General Materials Science Condensed Matter Physics Mechanics of Materials Electrical and Electronic Engineering