Design of a programmable particle filtering medium using a novel auxetic metamaterial
Auteur(s): |
Hafiz M. A. Ali
Meisam Abdi S. Abolfazl Zahedi Yong Sun |
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Smart Materials and Structures, 21 avril 2023, n. 6, v. 32 |
Page(s): | 064006 |
DOI: | 10.1088/1361-665x/acceea |
Abstrait: |
This study presents the design and development of a 2D auxetic filtering medium with programmable geometric features specifically designed to vary under in-plane tensile strain. This feature empowers the filtering medium to control the particles separation. A novel design and optimisation algorithm developed in Matlab® determines the final optimized geometry of the filtering medium based on the desired particle size input. Upon thorough numerical investigation, an empirical relationship between the linear elastic in-plane tensile strain and aperture size of the proposed metamaterial is revealed. This empirical relation can be used in mechatronic and control systems to steer the proposed filtering medium. A prototype of such filtering medium capable of classification of particles of size 4 mm to 4.5 mm, when subjected to linear strain, is fabricated through fused deposition modelling process. The developed geometry configurations in this research are scalable, providing a potential cost-effective and efficient solution for industrial applications including reconfigurable filtration and segregation systems. |
Copyright: | © 2023 Hafiz M A Ali, Meisam Abdi, S Abolfazl Zahedi, Yong Sun |
License: | Cette oeuvre a été publiée sous la license Creative Commons Attribution 4.0 (CC-BY 4.0). Il est autorisé de partager et adapter l'oeuvre tant que l'auteur est crédité et la license est indiquée (avec le lien ci-dessus). Vous devez aussi indiquer si des changements on été fait vis-à-vis de l'original. |
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10724812 - Publié(e) le:
30.05.2023 - Modifié(e) le:
07.02.2024