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REDUCING SOUND INTENSITY BY OPTIMIZING CUTTING PARAMETERS ON CNC MILLING MACHINES
(2022) Albayrak, Sirer; Mercan, Serdar; Karaçam, Hikmet
In the cutting process with machine tools in the Machinery Manufacturing Industry; while the desired surface integrity is ensured by the optimization of the cutting parameters, the noise level must be kept at a minimum to protect the health of the workers. The noise level can be reduced by using this optimization without compromising the surface roughness through processing of EN AW 6013 material on a CNC milling machine. Experimental design was examined in three variables, three levels and two target functions. The effects of these parameters on the target function were studied by performing experimental plans determined by \"Central Composite Design (CCT)\" of Response Surface Method (RSM)\". To assess the sound intensity and surface roughness, mathematical models were developed by performing regression analysis on the experimental results. These developed models have been tested with control experiments and it has been seen that the models have acceptable error rates. The obtained regression equation is highly modeled with a validity of 93.29% for sound intensity and 97.33% for surface roughness. Therefore, cutting parameters were found to be related to sound intensity and surface roughness values.