Additive manufacturing of self-sensing parts through material extrusion

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Journal Title
Journal ISSN
Volume Title
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Date
2024-02-28
Major/Subject
Mcode
Degree programme
Language
en
Pages
10
Series
VIRTUAL AND PHYSICAL PROTOTYPING, Volume 19, issue 1
Abstract
The objective of this study is to develop and evaluate self-sensing capabilities in additively manufactured parts by embedding conductive elements that are copper and continuous carbon fiber. Two sets of test specimen were manufactured using a custom g-code on material extrusion-based Anisoprint A4 machine. Each set contained copper and continuous carbon fiber in an amorphous thermoplastic matrix. A tailor-made test setup was developed by improvising the American Society for Testing and Materials (ASTM D790) three-point loading system. Electrical resistance measurements were conducted under flexural loads to evaluate the self-sensing capability of each test specimen. The results confirmed that material extrusion technology can allow production of self-sensing parts. The electrical resistance increases linearly (Sensing tolerance <±2.6%, R^2>93.8% p-value < 0.005), establishing a strong correlation with applied force and strain. The work allows for creating smart parts that can facilitate big data collection, analysis, and evidence-based decision-making for condition monitoring and preventive maintenance needed for Industry 4.0.
Description
Keywords
3D modeling, 3d printing, Self-sensing materials, Sensor technology, additive manufacturing, condition monitoring, embedding, industry 4.0, preventive maintenance, prototyping, smart parts
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Citation
Akmal, J S & Salmi, M 2024, ' Additive manufacturing of self-sensing parts through material extrusion ', VIRTUAL AND PHYSICAL PROTOTYPING, vol. 19, no. 1, e2321200 . https://doi.org/10.1080/17452759.2024.2321200