Data di Pubblicazione:
2017
Abstract:
The interest in micro manufacturing processes is increasing because of the need for
components characterized by small dimensions and micro features. As a result, researchers are
studying the limitations and advantages of these processes. This paper deals with tool run-out
measurement in micro milling. Among the effects of the scale reduction from macro to micro, tool
run-out plays an important role, affecting cutting force, tool life, and the surface integrity of the
produced part. The aim of this research is to develop an easy and reliable method to measure tool
run-out in micro milling. This measuring strategy, from an Industry 4.0 perspective, can be integrated
into an adaptive model for controlling cutting force, with the aim of improving the production
quality and the process stability, while at the same time reducing tool wear and machining costs.
The proposed procedure deduces tool run-out from the actual tool diameter, the channel width,
and the cutting edge’s phase, which is estimated by analyzing the cutting force signal. In order to
automate the cutting edge phase measurement, the suitability of two functions approximating the
force signal was evaluated. The developed procedure was tested on data from experimental tests.
A Ti6Al4V sample was machined using two coated micro end mill flutes made by SECO setting
different run-out values. The results showed that the developed procedure can be used for tool
run-out estimation.
components characterized by small dimensions and micro features. As a result, researchers are
studying the limitations and advantages of these processes. This paper deals with tool run-out
measurement in micro milling. Among the effects of the scale reduction from macro to micro, tool
run-out plays an important role, affecting cutting force, tool life, and the surface integrity of the
produced part. The aim of this research is to develop an easy and reliable method to measure tool
run-out in micro milling. This measuring strategy, from an Industry 4.0 perspective, can be integrated
into an adaptive model for controlling cutting force, with the aim of improving the production
quality and the process stability, while at the same time reducing tool wear and machining costs.
The proposed procedure deduces tool run-out from the actual tool diameter, the channel width,
and the cutting edge’s phase, which is estimated by analyzing the cutting force signal. In order to
automate the cutting edge phase measurement, the suitability of two functions approximating the
force signal was evaluated. The developed procedure was tested on data from experimental tests.
A Ti6Al4V sample was machined using two coated micro end mill flutes made by SECO setting
different run-out values. The results showed that the developed procedure can be used for tool
run-out estimation.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
Experimental measuring; Experimental tests; Industry 4.0; Micro milling; Ti6Al4V alloy; Tool run-out; Control and Systems Engineering; Mechanical Engineering; Electrical and Electronic Engineering
Elenco autori:
Attanasio, Aldo
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