Optimization Of Process Parameters In Drilling Jute Fibre Reinforced Hybrid Nano Composites

Abstract: Natural fibre reinforced composites have been the topic of recent research. Addition of nanofillers has been reported to enhance the performance of these polymeric composites even at small loading. The composites are machined to be employed in desired application. The machining process has to be optimized for finding out the combination of parameters that offer high-quality output. The present paper deals with the optimization of drilling of jute fibre reinforced, graphene filled epoxy nanocomposite. Delamination factor, thrust force, torque, surface roughness, circularity and cylindricity have been measured and optimized. Grey Relational Analysis (GRA) was used to optimize the process parameters. The weight value of each performance characteristic was found out using Principal Component Analysis (PCA). The optimal combination of drilling parameters was found out and compared with the initial value and gain obtained has been reported.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-11
DOI
https://doi.org/10.5281/zenodo.24130873
Primary Topic
Advanced machining processes and optimization
Type
article
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article

Optimization Of Process Parameters In Drilling Jute Fibre Reinforced Hybrid Nano Composites

Sridharan V
Zenodo (CERN European Organization for Nuclear Research)
Advanced machining processes and optimization
article

Optimization Of Process Parameters In Drilling Jute Fibre Reinforced Hybrid Nano Composites

Sridharan V
article en

Abstract

Abstract: Natural fibre reinforced composites have been the topic of recent research. Addition of nanofillers has been reported to enhance the performance of these polymeric composites even at small loading. The composites are machined to be employed in desired application. The machining process has to be optimized for finding out the combination of parameters that offer high-quality output. The present paper deals with the optimization of drilling of jute fibre reinforced, graphene filled epoxy nanocomposite. Delamination factor, thrust force, torque, surface roughness, circularity and cylindricity have been measured and optimized. Grey Relational Analysis (GRA) was used to optimize the process parameters. The weight value of each performance characteristic was found out using Principal Component Analysis (PCA). The optimal combination of drilling parameters was found out and compared with the initial value and gain obtained has been reported.

Zenodo (CERN European Organization for Nuclear Research)
Sri Venkateswara University (IN), Sri Venkateswara College of Engineering Tirupati (IN)
Advanced machining processes and optimization
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