Optimization of cylindricity in deep hole drilling using Cuckoo search algorithm (CS)

Abstract

In manufacturing industry, machining of holes is an important process almost in all metal products. Deep hole drilling, DHD is classified as non-traditional machining process used to produce holes with a length that exceeds ten times its diameter. This study presents an optimization using Cuckoo Search, CS in order to improve the DHD machining performance measure which is cylindricity, Cy. The real experimentation based on design of experiment (DOE) of full factorial with added center points was conducted to investigate the influence of DHD machining parameters consists of feed rate (f), spindle speed (s), depth of hole (d) and Minimum Quantity Lubricant, MQL (m). Then, the experimental results are used in developing the mathematical model by using the regression analysis. Analysis of variance, ANOVA and Fisher's statistical test, F-test is used to check the significant of the model developed. From the results, it was found that CS gives the minimum value of Cy compared to the experimental result.