Please use this identifier to cite or link to this item: https://doi.org/10.1016/S1526-6125(00)70024-7
Title: An approach to theoretical modeling and simulation of face milling forces
Authors: Li, X.P. 
Zheng, H.Q.
Wong, Y.S. 
Nee, A.Y.C.
Keywords: Cutting forces
Metal cutting
Milling
Modeling
Simulation
Vibration
Issue Date: 2000
Source: Li, X.P., Zheng, H.Q., Wong, Y.S., Nee, A.Y.C. (2000). An approach to theoretical modeling and simulation of face milling forces. Journal of Manufacturing Processes 2 (4) : 225-240. ScholarBank@NUS Repository. https://doi.org/10.1016/S1526-6125(00)70024-7
Abstract: A new approach to theoretical modeling and simulation of face milling forces is presented. The present approach is based on a predictive machining theory in which machining characteristic factors in continuous cutting with a single-point cutting tool can be predicted from the workpiece material properties, tool geometry, and cutting conditions. The action of a milling cutter is considered as the simultaneous work of a number of single-point cutting tools, and the milling forces are predicted from input data of workpiece material properties, cutter parameters and tooth geometry, cutting condition, cutter and work- piece vibration structure parameters, and types of milling. A predictive force model for face milling is developed using this approach. In the model, the workpiece material properties are considered as functions of strain, strain rate, and temperature. The ratio of cutter tooth engagement over milling is taken into account for the determination of temperature in the cutting region. Cutter runout is included in the modeling for the chip load. The relative displacement between the cutter and work- piece due to the cutter and workpiece vibration is also included in the modeling to consider the effect on the undeformed chip thickness. A milling force simulation system has been developed using the model, and face milling experimental tests have been conducted to verify the simulation system. It is shown that the simulation results agree well with experimental results.
Source Title: Journal of Manufacturing Processes
URI: http://scholarbank.nus.edu.sg/handle/10635/57872
ISSN: 15266125
DOI: 10.1016/S1526-6125(00)70024-7
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