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Multi-response optimization of drilling parameters in hybrid natural fiber composites using Taguchi and desirability function analysis (DFA).

Authors :
Arslane, Mustapha
Slamani, Mohamed
Elhadi, Abdelmalek
Amroune, Salah
Source :
International Journal of Advanced Manufacturing Technology. Dec2024, Vol. 135 Issue 11, p5631-5645. 15p.
Publication Year :
2024

Abstract

In the manufacturing of composite materials, achieving high precision in drilling processes is crucial to ensure product quality and performance. This study investigates the influence of drilling parameters on key performance metrics delamination, circularity, and cylindricity using the Taguchi method. An L25 orthogonal array was employed to systematically explore the effects of spindle speed, feed, and drill type on the quality of drilled holes. The analysis of variance (ANOVA) revealed that feed significantly influences the outcomes across all drill materials, with cutting speed playing a secondary role. The study further applied desirability function analysis (DFA) to optimize these multi-responses, identifying the optimal parameter settings for each drill type. The results highlight the critical role of feed in minimizing delamination, circularity, and cylindricity with the optimal settings offering significant improvements in drilling performance. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02683768
Volume :
135
Issue :
11
Database :
Academic Search Index
Journal :
International Journal of Advanced Manufacturing Technology
Publication Type :
Academic Journal
Accession number :
181710845
Full Text :
https://doi.org/10.1007/s00170-024-14855-3