Effect of Pumice Loading on Depleting the Machining Damages of a Banana Fiber-Pumice Sandwich Polymer Composite at Abrasive Water Jet Machining (AWJM)
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Effect of Pumice Loading on Depleting the Machining Damages of a Banana Fiber-Pumice Sandwich Polymer Composite at Abrasive Water Jet Machining (AWJM)
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Effect of Pumice Loading on Depleting the Machining Damages of a Banana Fiber-Pumice Sandwich Polymer Composite at Abrasive Water Jet Machining (AWJM)
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
20301 - Mechanical engineering
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Journal of Natural Fibers
ISSN
1544-0478
e-ISSN
1544-046X
Svazek periodika
22
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
18
Strana od-do
nestránkováno
Kód UT WoS článku
001574997100001
EID výsledku v databázi Scopus
2-s2.0-105017004268