Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-6984
Main Title: Intelligent pattern recognition of a SLM machine process and sensor data
Author(s): Uhlmann, Eckart
Pastl Pontes, Rodrigo
Laghmouchi, Abdelhakim
Bergmann, André
Type: Conference Object
Language Code: en
Abstract: Selective Laser Melting is an additive manufacturing process, in which the research has been increasing over the past few years to meet customer-specific requirements. Therefore, new manufacturing parameters have been monitored raising the number of sensors in the machines. Consequently, it leads to a bigger amount of data and difficulties to perform manual data analysis. In order to improve the analysis, this paper illustrates a possibility of pattern recognition using a different historical process and sensors data from a SLM machine. The results are evaluated using an intelligent tool for algorithms configuration and data analysis developed at Fraunhofer IPK.
URI: https://depositonce.tu-berlin.de//handle/11303/7809
http://dx.doi.org/10.14279/depositonce-6984
Issue Date: 2017
Date Available: 17-May-2018
DDC Class: 670 Industrielle Fertigung
Subject(s): pattern recognition
data analysis
SLM
additive manufacturing
sensor data
License: https://creativecommons.org/licenses/by-nc-nd/4.0/
Proceedings Title: 10th CIRP Conference on Intelligent Computation in Manufacturing Engineering - CIRP ICME '16
Editor: Teti, Roberto
Publisher: Elsevier
Publisher Place: Amsterdam [u.a.]
Volume: 2017
Publisher DOI: 10.1016/j.procir.2016.06.060
Page Start: 464
Page End: 469
Series: Procedia CIRP
Series Number: 62
ISSN: 2212-8271
Appears in Collections:Inst. Werkzeugmaschinen und Fabrikbetrieb » Publications

Files in This Item:
File Description SizeFormat 
1-s2.0-S2212827116306783-main.pdf216.44 kBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons