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Prediction of Milling Cutting Force Coefficients for Aluminum 6082-T4

Authors: CAMPATELLI, GIANNI; SCIPPA, ANTONIO;

Prediction of Milling Cutting Force Coefficients for Aluminum 6082-T4

Abstract

Cutting forces modeling is the basis to understand the cutting process, to simulate it and, most important of all, to optimize the process parameters in order to obtain a high quality product with the minimum machining time. In order to have a reliable model to predict the tool deflection and vibration it is necessary not only to measure the mean value and the direction of the cutting force but also its time-domain behavior. The basis is to develop a cutting force model that can be applied to different cutting conditions. Many models have been proposed to obtain a reliable cutting force value, most of all define a number of cutting coefficients for a specific cutting condition and pair material-tool. The aim of this paper is the study of the influence of feed per tooth and cutting speed on the cutting coefficients in order to create a model able to predict reliably the cutting force with different process parameters. The model has been developed for the tangential cutting coefficient using aluminum 6082-T4 as test material.

Country
Italy
Related Organizations
Keywords

cutting; force; aluminum

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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!
69
Top 10%
Top 10%
Top 10%
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