Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0020-7403(01)00020-0
Title: Modelling of cutting forces in helical end milling using a predictive machining theory
Authors: Li, H.Z.
Zhang, W.B.
Li, X.P. 
Keywords: Cutting forces
End milling
Mechanics
Modelling
Prediction
Simulation
Issue Date: Aug-2001
Source: Li, H.Z.,Zhang, W.B.,Li, X.P. (2001-08). Modelling of cutting forces in helical end milling using a predictive machining theory. International Journal of Mechanical Sciences 43 (8) : 1711-1730. ScholarBank@NUS Repository. https://doi.org/10.1016/S0020-7403(01)00020-0
Abstract: A new approach for modelling and simulation of the cutting forces in helical end milling processes is presented. In this approach, the cutting forces in helical end milling are modelled based on a predictive machining theory, in which the machining characteristic factors are predicted from input data of fundamental workpiece material properties, tool geometry and cutting conditions. In the model, each tooth of a helical end milling cutter is discretised into a number of slices along the cutter axis to account for the helix angle effect on the cutting forces. The cutting action of each of the slices is modelled as an oblique cutting process. For the first slice of each tooth, it is modelled as oblique cutting with end cutting edge effect and tool nose radius effect, whereas the cutting actions of other slices are modelled as oblique cutting without end cutting edge effect and tool nose radius effect. The cutting forces in the oblique cutting processes are predicted using a predictive machining theory. The total cutting forces acting on the cutter is obtained as the sum of the forces at all the cutting slices of all the teeth. A Windows-based simulation system for the cutting forces in helical end milling is developed using the model. Experimental milling tests have been conducted to verify the simulation system. © 2001 Elsevier Science Ltd.
Source Title: International Journal of Mechanical Sciences
URI: http://scholarbank.nus.edu.sg/handle/10635/60810
ISSN: 00207403
DOI: 10.1016/S0020-7403(01)00020-0
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