Title Investigation of surface cutting speed influence on surface Roughness /
Translation of Title Paviršinio pjovimo greičio įtakos paviršiaus šiurkštumui tyrimas.
Authors Banore, Sarang Ganeshrao
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Pages 65
Keywords [eng] turning ; workpiece ; surface roughness ; cutting speed and feed ; regression analysis
Abstract [eng] Summary This study examines the role of influence of surface cutting parameters on the surface roughness for conical workpieces turning operations. The conventional and constant surface speed control turning experiment was carried out CNC turning machine. Conventional turning was performed using programming code G01 and addresses spindle speed (S) and feed (F), which during turning are kept constant. Constant surface speed control turning was programmed using G96 code and constant surface cutting speed address (S). Conical surface turning process was identified as scope of experiments due to variable diameter the surface speed will not be constant. Determining the change and effectiveness in the surface roughness using these both methods the relationship between surface roughness and workpiece diameter, cutting speed and feed during conventional turning and constant surface speed control using was performed. Previous studies and literature in this area has focused almost exclusively on constant cutting speed turning processes and also concluded that surface roughness is qualitative function of the feed rate with cutting speed and depth also playing a minor part. This study advances our understanding of correlation between all these machining parameters with the surface roughness. To date, no systematic investigation has considered the constant surface speed and here we have established that parallel. We conducted a laboratory experiment to test and study the surface roughness of curvilinear turning with CNC machining where different diameter workpieces were employed for the test with combination of different machining parameters. The comparison of the experimental surface measurement results to the theoretical values was performed. In order to predict surface roughness for the various cutting conditions four variable regression analysis, including workpiece diameter, surface cutting speed, spindle speed and cutting feed was performed. Analysis showed that proposed regression model adequacy describes cutting parameters variation influence on surface roughness. Conclusions and recommendations are presented for further investigations.
Dissertation Institution Kauno technologijos universitetas.
Type Master thesis
Language English
Publication date 2018