The evaluation of dynamic interactions between tool and worked part in machining operations is fundamental to control the surface quality. Many factors such as workpiece material, cutting conditions, tool geometry, run out and machine vibration affect the surface roughness. In particular, for aerospace engine components, metal cutting processes are characterized by a strong demand for productivity increasing that does not compromise the high quality of the product (surface quality, strict tolerances, the product and process certification). The kinematic optimization algorithms are based on the monitoring of the amount of material removed in each segment of the executed part program. They assign the best feed rate for each cutting condition encountered. A new tool path identical to the original is obtained as output. The application of these algorithms do not alter the tool trajectory, but improve feed rates. In this study the authors, through experimental tests, have evaluated the effectiveness of different toolpath kinematic optimization algorithms to meet the antithetical requirements, typical of machining processes applied to critical mechanical component. The antithesis stands in the fact that it is necessary to maximize the feed rate in order to reduce the processing time without compromising the finished surface roughness.
Experimental evaluation of the influence of part program optimization algorithms on surface roughness in milling operation
DEL PRETE, Antonio;DE VITIS, ANTONIO ALBERTO;ANGLANI, Alfredo;MAZZOTTA, DAMIANO VITO
2009-01-01
Abstract
The evaluation of dynamic interactions between tool and worked part in machining operations is fundamental to control the surface quality. Many factors such as workpiece material, cutting conditions, tool geometry, run out and machine vibration affect the surface roughness. In particular, for aerospace engine components, metal cutting processes are characterized by a strong demand for productivity increasing that does not compromise the high quality of the product (surface quality, strict tolerances, the product and process certification). The kinematic optimization algorithms are based on the monitoring of the amount of material removed in each segment of the executed part program. They assign the best feed rate for each cutting condition encountered. A new tool path identical to the original is obtained as output. The application of these algorithms do not alter the tool trajectory, but improve feed rates. In this study the authors, through experimental tests, have evaluated the effectiveness of different toolpath kinematic optimization algorithms to meet the antithetical requirements, typical of machining processes applied to critical mechanical component. The antithesis stands in the fact that it is necessary to maximize the feed rate in order to reduce the processing time without compromising the finished surface roughness.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
