MATEC Web Conf.
Volume 178, 201822nd International Conference on Innovative Manufacturing Engineering and Energy - IManE&E 2018
|Number of page(s)||6|
|Section||Advanced Machining and Surface Engineering|
|Published online||24 July 2018|
Proposing a method for estimating the real micro profile of a milling tool
Gheorghe Asachi Technical University of Iasi, Machine Manufacturing Department, Iasi, Romania
2 Gheorghe Asachi Technical University of Iasi, Machine Tools Department, Iasi, Romania
* Corresponding author: firstname.lastname@example.org
Manufacturing Engineering domain generally uses for creating virtual work piece profiles or tool representations descriptive parameters or simplified drawings. More recent and accurate methods such as the present study uses optical devices for obtaining virtual projections of work pieces/tools. This paper presents an experimental method applied in order to obtain the profile for a given cutting tool, which can offer in addition possibility to estimate the cutting tool wear, without using such built-in machine-tool device. The experimental values obtained are materialized by the accuracy which characterizes the accurate profile of the measured cutting tool. This fact can make a difference between a classical measurement method applied outside of machine tool sector and a new one provided by a device which offers the solution to measure a work piece directly on the machine tool, without modifying the actual work piece orientation conditions and at a low price.
© The Authors, published by EDP Sciences, 2018.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.