Optimization of Hole quality parameters using TOPSIS method in drilling of GFRP composite

Potta Chaitanya *, Thallapalli vamshi krishna, Arikari ganesh, Agirishetty bharat and Degala Rohith paul

Vignan institute of technology and science, Hyderabad, India.
 
Research Article
International Journal of Science and Research Archive, 2023, 09(02), 030–038.
Article DOI: 10.30574/ijsra.2023.9.2.0505
Publication history: 
Received on 18 May 2023; revised on 24 June 2023; accepted on 27 June 2023
 
Abstract: 
The attractive mechanical properties and light weight to strength ratio Glass Fiber Reinforced Plastic (GFRP) composites are preferred in automobile and aerospace industries. Drilling process is one of the basic and important manufacturing processes. Drilling of GFRP and its issues with hole quality are fiber crack, roughness of surface, dimensional error and delamination. In this work, the effect of three different drill (Slot type, twist type and brad type) and process parameters (machining speed and feed rate) on hole quality error is analyzed. Hole quality parameters, chosen are roundness error, roughness of the machined area, delamination factor and diameter deviation. Simultaneous optimization of multiple objectives is difficult task.  Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is used for optimization process parameters and minimize the hole quality error during drilling of GFRP composite. The result revealed that spur type drill with higher range of spindle speed was provided less error in the drilled holes. Also, TOPSIS procedure has minimum computational time because of its less computational steps and highly preferrable for various decision-making problems in manufacturing industry. Hole quality error is directly influencing the assembly accuracy and its minimization is important one. 
 
Keywords: 
GFRP; Drilling; Drills; TOPSIS; Hole quality
 
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