Multi-response optimization of the thrust force, torque and surface roughness in drilling of glass fiber reinforced polyester composite using GRA-RSM

Ritesh Bhat, Nanjangud Mohan, Sathyashankara Sharma, Rohit Anil Agarwal, Anmol Rathi, Kamal Anand Subudhi

Research output: Contribution to journalConference article

Abstract

Glass fiber reinforced polymer (GFRP) composites are used in various applications across several industrial sectors. Drilling operation is an unavoidable machining process in the assembly zone dealing with GFRP composites as the composite structures are joined mainly through the fastening processes. GFRP drilling poses several issues compared to conventional metallic materials, which decreases the drilled hole quality. In this article, central composite design is used to provide the framework for the experimental runs on glass fiber reinforced isophthalic polyester composite slabs. Grey relation analysis is used to optimize the drilling parameters: speed, feed and material thickness based on three output performance characteristics: thrust force, torque and drilled hole surface roughness. Analysis of variance (ANOVA) is used to find the percentage contribution of the drilling parameters. The experimental results indicate feed to be the most influential factor in the drilling of glass fiber reinforced isophthalic polyester composites contributing 44.16% to the variation in the overall performance index, represented by the grey relation grade (GRG) for the given experimental range of control parameters.

Original languageEnglish
Pages (from-to)333-338
Number of pages6
JournalMaterials Today: Proceedings
Volume19
DOIs
Publication statusPublished - 01-01-2019
Event1st International Conference on Manufacturing, Material Science and Engineering, ICMMSE 2019 - Kandlakoya, India
Duration: 16-08-201917-08-2019

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Polyesters
Glass fibers
Drilling
Torque
Surface roughness
Composite materials
Polymers
Analysis of variance (ANOVA)
Composite structures
Machining
fiberglass

All Science Journal Classification (ASJC) codes

  • Materials Science(all)

Cite this

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title = "Multi-response optimization of the thrust force, torque and surface roughness in drilling of glass fiber reinforced polyester composite using GRA-RSM",
abstract = "Glass fiber reinforced polymer (GFRP) composites are used in various applications across several industrial sectors. Drilling operation is an unavoidable machining process in the assembly zone dealing with GFRP composites as the composite structures are joined mainly through the fastening processes. GFRP drilling poses several issues compared to conventional metallic materials, which decreases the drilled hole quality. In this article, central composite design is used to provide the framework for the experimental runs on glass fiber reinforced isophthalic polyester composite slabs. Grey relation analysis is used to optimize the drilling parameters: speed, feed and material thickness based on three output performance characteristics: thrust force, torque and drilled hole surface roughness. Analysis of variance (ANOVA) is used to find the percentage contribution of the drilling parameters. The experimental results indicate feed to be the most influential factor in the drilling of glass fiber reinforced isophthalic polyester composites contributing 44.16{\%} to the variation in the overall performance index, represented by the grey relation grade (GRG) for the given experimental range of control parameters.",
author = "Ritesh Bhat and Nanjangud Mohan and Sathyashankara Sharma and Agarwal, {Rohit Anil} and Anmol Rathi and Subudhi, {Kamal Anand}",
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language = "English",
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Multi-response optimization of the thrust force, torque and surface roughness in drilling of glass fiber reinforced polyester composite using GRA-RSM. / Bhat, Ritesh; Mohan, Nanjangud; Sharma, Sathyashankara; Agarwal, Rohit Anil; Rathi, Anmol; Subudhi, Kamal Anand.

In: Materials Today: Proceedings, Vol. 19, 01.01.2019, p. 333-338.

Research output: Contribution to journalConference article

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AU - Bhat, Ritesh

AU - Mohan, Nanjangud

AU - Sharma, Sathyashankara

AU - Agarwal, Rohit Anil

AU - Rathi, Anmol

AU - Subudhi, Kamal Anand

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