Virtual machining of micro-milling processes for prediction of cutting forces and surface quality

Abstract:

The improvement of micro-milling processes implies the application of advanced analysis and modelling techniques to derive a deeper process understanding. Because of micro-scale effects, monitoring and measurement systems applied in conventional milling are in most cases not suitable for identifying optimal cutting conditions. Therefore, analytical and mechanical models have been developed in recent years to account for impact factors dominating the micro-milling errors. Within the research presented in this publication geometric, kinematic and dynamic models have been adjusted and dimensioned according to the dominating impact factors in micro-milling and have been consolidated to enable for a time-domain simulation. The effect of element size of discretized workpiece and tool as well as the time step size on cutting forces has been evaluated. The evaluation of the accuracy of predicting cutting forces has been conducted and has shown a good agreement of measured and simulated cutting forces. Finally, a mold for a micro-fluidic device has been machined virtually and experimentally to evaluate the accuracy of the integrated models in predicting the final quality of a micro-milled part in terms of surface quality parameters.


Reference:
UHLMANN, Eckart; MEWIS, Jan; BALDO, Crhistian Raffaelo; RAMOS, Luciana Wasnievski da Silva de Luca; PEUKERT, Bernd ; SCHÜTZER, Klaus; DEL CONTE, Erik Gustavo; TAMBORLIN, Marcelo Octavio. Virtual machining of micro-milling processes for prediction of cutting forces and surface quality. In: INTERNATIONAL CONFERENCE ON VIRTUAL MACHINING PROCESS TECHNOLOGY – VMPT, 6TH., 2017, Montréal. Proceedings… 8 p.

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