Analysıs Of The Effect Of The Noıse Created In The Turnıng Process On The Cuttıng Parameters And Surface Roughness

CANSU INAN, Suleyman NESELI

Abstract


 

Turning process is a manufacturing method made with single-mouth cutting tools and is quite widely used. There are many factors that affect the process in the turning process(cutting parameters, workpiece characteristics, insert characteristics, etc.) are. The selection of these factors affecting the cutting process directly affects the surface roughness value and noise ratio that will occur on the workpiece surface. In this study, the relationships between the noise ratio intensity caused by the contact on the tool-workpiece interface during the manufacturing processes and the cutting parameters used were analyzed by examining. Under dry turning conditions, Three different revolutions (477, 630, 870 rpm), three different feed rates (0.2, 0.4, 0.6 mm / revolution) and three different chip depths (0.4, 0.6, 0.8 mm) were used according to the  orthogonal experimental scheme to measure the roughness and noise ratio on the workpiece surface. It is aimed to determine the most effective parameters by evaluating them with graphs obtained from the data. It was concluded that the most effective parameters for roughness among the selected parameters were feed rate, revolution speed and chip depth respectively, while the most effective parameters for noise ratio intensity were revolution speed, chip depth and feed rate. With the experimental study conducted, it is concluded that the speed of progress causes a change of about 20% in the surface roughness and a 10% change in the noise ratio of the machine revolution speed. It was concluded that with the increase in the feed rate, the noise ratio intensity caused by vibration during the cutting process and the surface roughness caused by the mechanical interaction between the workpiece and the insert generally increase linearly.


Keywords


Cutting Parameters and Cutting Tool; Noise Ratio; Surface Roughness

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Selcuk University Journal of Engineering Sciences (SUJES) ISSN:2757-8828

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