Abstract
This paper focuses on the optimization of drilling parameters by utilizing “Taguchi method” to obtain the minimum surface roughness. Nine drilling experiments were performed on Al 5050 alloy using high speed steel twist drills. Three drilling parameters (feed rates, cutting speeds, and cutting tools) were used as control factors, and L9 (33) “orthogonal array” was specified for the experimental trials. Signal to Noise (S/N) Ratio and “Analysis of Variance” (ANOVA) were utilized to set the optimum control factors which minimized the surface roughness. The results were tested with the aid of statistical software package MINITAB-17. After the experimental trails, the tool diameter was found as the most important factor that has effect on the surface roughness. The optimal drilling factors that minimized the surface roughness are (20mm/min cutting speed, 0.2 mm/rev feed rate, and 10mm tool diameter).
Highlights
The significant aim in the modernistic industry is to produce the products with great quality and smallest cost in smallest time
The tested results proved that the spindle speed and feed rate the most affecting to the surface roughness, while the drill diameter and feed rate are the most affecting to the thrust force [4]
The plots show the response variations with the changes of drilling parameters, from figure (6) we can notice that in the increase of the drilling conditions the change in response will be change less than the change in the drilling condition when we increase it
Summary
The significant aim in the modernistic industry is to produce the products with great quality and smallest cost in smallest time. Hole quality characteristics is very significant in different application, which involve the hole diameter accuracy and the hole surface finishing. Hole quality mostly dependent on the drilling tools and the cutting parameters which is can be optimized by using different methods such as “Taguchi” approach and regression models. Taguchi approach considers a good tool to design a system with top quality and excessively used in engineering analysis [3], for this reason many researchers concentrated on determining the best surface roughness and roundness error. Taso and Hochen (2008) implemented the estimation and assessment of trust force and surface roughness in the composite material drilling operation utilizing “Taguchi” method and “neural network”. Kurt et al(2009) used the “Taguchi” approach to optimize the cutting parameters of the hole diameter accuracy and surface finish in dry drilling operations [2]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
