Issue |
MATEC Web Conf.
Volume 204, 2018
International Mechanical and Industrial Engineering Conference 2018 (IMIEC 2018)
|
|
---|---|---|
Article Number | 07011 | |
Number of page(s) | 7 | |
Section | Construction | |
DOI | https://doi.org/10.1051/matecconf/201820407011 | |
Published online | 21 September 2018 |
Elastic linear analysis of CNC micro blanking machine using finite element method
1
Mechanical Engineering Department, State University of Malang, 65145 Malang, Indonesia
2
Electrical Engineering Department, State University of Malang, 65145 Malang, Indonesia
*
Corresponding author: didin.zakariya.ft@um.ac.id
This study has developed Micro Punch CNC Machine design by optimizing the function of the actuator axis implemented to make an implant plate. This research aimed to plan the simulation of CNC machine construction strength using the blanking operation application. Finite element method (FEM) was used to analyze the material strength. The research results showed that the maximum stress occurring at the punch tools was 428.17 MPa with the thickness of 0.6 mm and the maximum thickness of workpiece allowed in making the implant plate was 1.4 mm with the maximum stress of 999.09 MPa. The obtained data indicate that the most effective material to be used as the material construction in CNC micro blanking machine is St42. This case is proven by the result of the power to resist the stress and the value of maximum deformation from the comparison of both materials.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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.