Effect of Pumice Loading on Depleting the Machining Damages of a Banana Fiber-Pumice Sandwich Polymer Composite at Abrasive Water Jet Machining (AWJM)
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F25%3A10259453" target="_blank" >RIV/61989100:27230/25:10259453 - isvavai.cz</a>
Result on the web
<a href="https://www.tandfonline.com/doi/epdf/10.1080/15440478.2025.2553675?src=getftr&utm_source=clarivate&getft_integrator=clarivate" target="_blank" >https://www.tandfonline.com/doi/epdf/10.1080/15440478.2025.2553675?src=getftr&utm_source=clarivate&getft_integrator=clarivate</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/15440478.2025.2553675" target="_blank" >10.1080/15440478.2025.2553675</a>
Alternative languages
Result language
angličtina
Original language name
Effect of Pumice Loading on Depleting the Machining Damages of a Banana Fiber-Pumice Sandwich Polymer Composite at Abrasive Water Jet Machining (AWJM)
Original language description
A significant portion of the material market is completely governed by the novel polymer composites, either reinforced with synthetic or natural fibers. However, machining the fiber-reinforced composite (FRP) poses a significant challenge, particularly in terms of kerf and delamination damage during the abrasive water jet machining (AWJM). This study advocates the novel development of a banana fiber woven-pumice particle reinforced sandwich composite and further machining quality improvement during AWJM by implementing a hybrid statistical model, Grey Relational Analysis (GRA)-Principal Component Analysis (PCA), and soft computing Machine Learning (ML) algorithms. Nine machining trials are executed by considering machining parameters like pumice composition, hydraulic pressure, abrasive flow rate, and standoff distance, where kerf ratio, delamination, and surface roughness are the machining damages. Invariably, the models considered declare the ideal set of parameters, which comprises 100 (MPa) hydraulic pressure, 300 (gm/min) abrasive flow rate, 2 mm standoff distance, and 10% pumice particles to ensure minimal damage. Both modeling approaches indicate that the pumice composition in the sandwich core is the highest contributor in deciding the machining quality. The implementation of the hybrid model facilitates the 7.88%, 24.43%, and 45.28% improvement in damage reduction in kerf ratio, surface roughness, and delamination. © 2025 Elsevier B.V., All rights reserved.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20301 - Mechanical engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Natural Fibers
ISSN
1544-0478
e-ISSN
1544-046X
Volume of the periodical
22
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
18
Pages from-to
nestránkováno
UT code for WoS article
001574997100001
EID of the result in the Scopus database
2-s2.0-105017004268