In this study, the behaviour of aluminium honeycomb structures under low-speed impact has been investigated by experimental and finite element analysis method. The production of aluminium honeycomb composite structures was carried out using different adhesives of different widths and heights. The low-velocity impact experiments of the honeycomb structures produced were performed according to ASTM D7766 standard. As a result of the experiment, the force values which caused damage to the structure were measured according to the time, and the maximum force values were taken. Findings have shown that the decrease in cell width, the increase in cell height, and depletion of multiwall carbon nanotubes increase the maximum impact force values in honeycomb composite structures. It is seen that the results obtained by the finite element method and the experimental results are approximately 85% in agreement. There was no statistically significant difference between the results as a result of conducted t-test.
In this study, AISI 1040 steel is machined on CNC lathes. Taguchi L16 ortogonal array was used as experimental design. Experiments were carried out with selected the three cutting parameters. These parameters were determined as feed rate, cutting speed and cutting depth. Turning operation was carried out in dry conditions with diamond cutting tools. At the end of experiments, the values of surface roughness (Rz) on samples were found. Signal/Noise (S/N) rates were found with using the Taguchi method. According to the results, feed rate had the most significant effect on Rz among three factors. In ANOVA analysis, respectively feed rate, cutting depth and cutting speed are effective at 95% confidence level at Rz value. In repetition experiments carried out for parameters chosen in Taguchi prediction, it was identified that Taguchi works with nearly 94% accuracy.
In this study, 48 HRC hardness AISI 4140 is turned on in different cutting parameters and cooling environment. The Taguchi L9 test design was developed based on the three-level cutting speed (V), feed rate (f), depth of cut (a) and cooling environment parameters. According to the L9 experimental design, the mean surface roughness (Ra) values were measured. Chip form occurring during turning is photographed. The S/N (Signal/Noise) ratios of the Taguchi experiment design in the Minitab program have been determined. According to the experimental results, the most significant effect on the Ra from the four factors was found in the hand made by the depth of cut. In ANOVA, it was respectively determined that depth of cut, cutting speed, feed rate and cooling environment affected 95% confidence in Ra value. It has been found that the repeat experiments for the optimum parameters yielded about 90% accuracy compared to the Taguchi estimate.
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