Özet:

Strenx 1100 is a structural steel utilized in the critical engineering applications such as marine, crane and transportation thanks to its high tensile and yield strength properties. Despite its advantages coming from mechanical properties, hard-to-cut structure of this material makes difficult the metal removing. Therefore, high amount of energy consumption reveals due to the requirement of high cutting forces. In order to overcome this problem, recently, minimum quantity lubrication (MQL) supported machining have been introduced from many authors. In this context, this study aims to measure and analyze the consumed energy in MQL assisted surface milling of Strenx 1100 steel. For this purpose, experimental results were evaluated by three methods: analysis on graphs, ANOVA based statistical evaluation and signal to noise (S/N) ratio based optimization. In the experiments, with the help of Taguchi, L9 orthogonal array design was adopted using three levels of cutting speed, feed rate and depth of cut. According to the obtained findings, cutting speed is the most effective parameter according to contribution rate (46.28%) and P value (0.048<0.05), meanwhile feed rate (23.6%) and depth of cut (27.8%) have important contributors on the consumed energy during milling. Seemingly, general trend for the consumed energy is about to increase with higher values of cutting speed and depth of cut and lower values of feed rate according to 3D plots. This situation is confirmed with optimal solutions as vC=75 m/min, f=0.25 mm, aP=0.225 mm/rev achieved by S/N ratios. Conducted experiments and further analysis provide an important guidance for the industrial applications in MQL reinforced machining of hard materials.