Optimization of Drilling Parameters in Natural Fibers Composite Plates Based on Grey Relational Analysis

This study focuses on optimizing drilling parameters to minimize delamination, circularity error, and cylindricity in natural fiber composites through a comprehensive full factorial Design of Experiments (DoE) combined with Grey Relational Analysis (GRA). The novelty of this work lies in its systematic integration of these methods to evaluate the effects of spindle speed, feed rate, and drill type (HSS, HSS-Co, and Solid Carbide) on hole quality, providing a robust framework for multi-response optimization. Results reveal that feed rate is the most significant factor, with optimal conditions – lower feed rates (0.04 mm/rev) and moderate speeds (1592 rpm) – delivering reduced delamination and improved hole quality. Among the tested drills, Solid Carbide demonstrated superior performance with the lowest delamination and cylindricity errors. This study highlights the potential of systematic parameter optimization to advance eco-friendly composite manufacturing and enhance drilling precision.

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Publication Details

Journal
Journal of Natural Fibers
Published
2024-12-28
DOI
https://doi.org/10.1080/15440478.2024.2445554
Citations
9
Primary Topic
Advanced machining processes and optimization
Type
article
Field-Weighted Citation Impact
1.91
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article

Optimization of Drilling Parameters in Natural Fibers Composite Plates Based on Grey Relational Analysis

Mohamed Slamani, Abdelmalek Elhadi, Ahmed Belaadi, Salah Amroune et al.
9 citations
Journal of Natural Fibers
Advanced machining processes and optimization
1.91
article

Optimization of Drilling Parameters in Natural Fibers Composite Plates Based on Grey Relational Analysis

Mohamed Slamani, Abdelmalek Elhadi, Ahmed Belaadi, Salah Amroune, Mustapha Arslane, Djamel Ghernaout, Ibrahim M.H. Alshaikh
article en
9 citations

Abstract

This study focuses on optimizing drilling parameters to minimize delamination, circularity error, and cylindricity in natural fiber composites through a comprehensive full factorial Design of Experiments (DoE) combined with Grey Relational Analysis (GRA). The novelty of this work lies in its systematic integration of these methods to evaluate the effects of spindle speed, feed rate, and drill type (HSS, HSS-Co, and Solid Carbide) on hole quality, providing a robust framework for multi-response optimization. Results reveal that feed rate is the most significant factor, with optimal conditions – lower feed rates (0.04 mm/rev) and moderate speeds (1592 rpm) – delivering reduced delamination and improved hole quality. Among the tested drills, Solid Carbide demonstrated superior performance with the lowest delamination and cylindricity errors. This study highlights the potential of systematic parameter optimization to advance eco-friendly composite manufacturing and enhance drilling precision.

Journal of Natural FibersVol. 22(1)
University of Science and Technology (YE), University of Ha'il (SA), University Mohamed Boudiaf of M'sila (DZ), University of Blida (DZ), University of Skikda (DZ)
Industry, innovation and infrastructure
Openalex Percentile: Top 15%
Advanced machining processes and optimization
1.91
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Optimization of Drilling Parameters in Natural Fibers Composite Plates Based on Grey Relational Analysis — Mohamed Slamani, Abdelmalek Elhadi, et al. · Journal of Natural Fibers (2024) | TGRS Research Map | TGRS