Qualitative evaluation of kerf taper angle of conventionally drilled holes in glass fiber epoxy composite

This study analyses the impact of process parameters on Glass Fiber Reinforced Polymer (GFRP) components produced through conventional drilling on a CNC drilling machine (VMC). GFRP’s challenging machinability is due to its high strength-to-weight ratio, durability, and customizable mechanical properties. The study aims to minimize kerf angles in drilled holes, identifying optimal parameter combinations based on Signal-to-Noise ratios. The best combination of parameters that used to reduce the value of the kerf angle was considered at 2,800 RPM spindle speed and 1,200 mm/rev feed rate. The experimental work reveals that the spindle speed significantly affects the kerf angle, while the feed rate and spindle speed both influence the variation in the kerf angle and show the best results at the ideal values of the two parameters. The study details an analysis of the process parameters of drilled holes on kerf angle in multiple holes in the specimen, applying Taguchi’s design of experiments and analysis of variance. Comparison of findings was made with existing literature on determination of the importance of spindle speed and feed rate for the determination of kerf angle. The best results were obtained when all these parameters set to the ideal values, where the minimum angular kerf of 0.1145° was observed.

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Publication Details

Journal
Frontiers in Mechanical Engineering
Published
2025-01-27
DOI
https://doi.org/10.3389/fmech.2025.1513269
Citations
3
Primary Topic
Advanced machining processes and optimization
Type
article
Field-Weighted Citation Impact
2.14
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article

Qualitative evaluation of kerf taper angle of conventionally drilled holes in glass fiber epoxy composite

Atul Kulkarni, Mohammad Kanan, Neeraj Sunheriya, Manmohan Manikrao Bhoomkar et al.
3 citations
Frontiers in Mechanical Engineering
Advanced machining processes and optimization
2.14
article

Qualitative evaluation of kerf taper angle of conventionally drilled holes in glass fiber epoxy composite

Atul Kulkarni, Mohammad Kanan, Neeraj Sunheriya, Manmohan Manikrao Bhoomkar, Jayant Giri, Lalit N. Patil, Dipak S. Patil, Thanikodi Sathish, Lalit K. Toke
article en
3 citations

Abstract

This study analyses the impact of process parameters on Glass Fiber Reinforced Polymer (GFRP) components produced through conventional drilling on a CNC drilling machine (VMC). GFRP’s challenging machinability is due to its high strength-to-weight ratio, durability, and customizable mechanical properties. The study aims to minimize kerf angles in drilled holes, identifying optimal parameter combinations based on Signal-to-Noise ratios. The best combination of parameters that used to reduce the value of the kerf angle was considered at 2,800 RPM spindle speed and 1,200 mm/rev feed rate. The experimental work reveals that the spindle speed significantly affects the kerf angle, while the feed rate and spindle speed both influence the variation in the kerf angle and show the best results at the ideal values of the two parameters. The study details an analysis of the process parameters of drilled holes on kerf angle in multiple holes in the specimen, applying Taguchi’s design of experiments and analysis of variance. Comparison of findings was made with existing literature on determination of the importance of spindle speed and feed rate for the determination of kerf angle. The best results were obtained when all these parameters set to the ideal values, where the minimum angular kerf of 0.1145° was observed.

Frontiers in Mechanical EngineeringVol. 11
Lovely Professional University (IN), Zarqa University (JO), Jnana Deepa, Institute of Philosophy and Theology (IN), Dr. D. Y. Patil Medical College, Hospital and Research Centre (IN), Yashwantrao Chavan Maharashtra Open University (IN), Institute of Engineering (NP), D.Y. Patil University (IN), University of Business and Technology (SA), Chitkara University (IN), Saveetha University (IN)
Openalex Percentile: Top 16%
Advanced machining processes and optimization
2.14
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