TY - JOUR
T1 - Multi-response optimization of the thrust force, torque and surface roughness in drilling of glass fiber reinforced polyester composite using GRA-RSM
AU - Bhat, Ritesh
AU - Mohan, Nanjangud
AU - Sharma, Sathyashankara
AU - Agarwal, Rohit Anil
AU - Rathi, Anmol
AU - Subudhi, Kamal Anand
N1 - Publisher Copyright:
© 2019 Elsevier Ltd. All rights reserved.
PY - 2019/1/1
Y1 - 2019/1/1
N2 - 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.
AB - 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.
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U2 - 10.1016/j.matpr.2019.07.608
DO - 10.1016/j.matpr.2019.07.608
M3 - Conference article
AN - SCOPUS:85077344046
SN - 2214-7853
VL - 19
SP - 333
EP - 338
JO - Materials Today: Proceedings
JF - Materials Today: Proceedings
T2 - 1st International Conference on Manufacturing, Material Science and Engineering, ICMMSE 2019
Y2 - 16 August 2019 through 17 August 2019
ER -