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Materials
Article . 2023 . Peer-reviewed
License: CC BY
Data sources: Crossref
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PubMed Central
Article . 2023
License: CC BY
Data sources: PubMed Central
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Modelling of the Face-Milling Process by Toroidal Cutter

Authors: Marcin Płodzień; Łukasz Żyłka; Antun Stoić;

Modelling of the Face-Milling Process by Toroidal Cutter

Abstract

When face milling using a toroidal cutter, with a change in the depth of the cut, the entering angle varies as well. An experimental test of the influence of cutting parameters, such as the depth of the cut and the feed per tooth on the cutting force components and surface roughness parameters, was conducted. The experimental test was carried out using a DMU 100 monoBLOCK CNC machine with registration of cutting force components and surface roughness parameters Ra, Rz, and RSm. FEM analysis of the face-milling process was also carried out and compared with the experimental results. The average deviation of the FEM values for cutting force components does not exceed 12%. Experimental models were established for each force component. It was shown that the depth of the cut has the strongest influence on each force component. The feed per tooth has a little impact on the cutting force. The obtained model of the feed force component is the most complex, and the model of the Fa component is only linear. The influence of the ap parameter on the surface roughness parameters is nonlinear and nonmonotonic. In the range of approx. ap = 2 mm, there is a maximum surface roughness.

Keywords

force model, roughness model, cutting force, surface roughness, toroidal cutter, Article

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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!
9
Top 10%
Average
Top 10%
Green
gold