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Inverse Method for Cutting Forces Parameters Evaluation

Authors: Rivière, Edouard; Filippi, Enrico; Dehombreux, Pierre;

Inverse Method for Cutting Forces Parameters Evaluation

Abstract

Simulation of the milling process is a widespread method to improve productivity in the machining process and several phenomena can be studied and controlled by this mean. All these methods need input parameters that characterize the interaction between the tool and the workpiece in order to evaluate the cutting forces. Many models exist, but the input parameters are often difficult to find out from intrinsic properties of the materials (Young's modulus, yield strength, hardness, ...). The aim of this article is to set out a simple and efficient method to compute cutting coefficient for two different cutting forces models from a single efforts measurement. The method is validated using both simulated and measured cutting forces. The adequacy is good and allows simulating the whole cutting process.

Country
Belgium
Related Organizations
Keywords

Ingénierie mécanique, TA Engineering (General). Civil engineering (General), Mechanical engineering, Engineering, computing & technology, Ingénierie, informatique & technologie

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green