MATEC Web Conf.
Volume 94, 2017The 4th International Conference on Computing and Solutions in Manufacturing Engineering 2016 – CoSME’16
|Number of page(s)||9|
|Section||Additive Manufacturing and Non-conventional Technologies|
|Published online||04 January 2017|
Identification of in-line defects and failures during Additive Manufacturing Powder Bed Fusion processes
1 Fraunhofer Institute for Manufacturing Engineering and Automation IPA, Department Machine Vision and Signal Processing, 70569 Stuttgart, Germany
2 Politehnica University Timisoara, Mechatronics Department, 300222 Timisoara, Romania
* Corresponding author: Simina.Fulga@ipa.fraunhofer.de
Additive Manufacturing (AM) processes are enablers of new approaches in the field of production and design engineering, product design and business modelling. Beginning to view additive manufacturing in an industrial environment, reliable statements about the product quality are indispensable. Statements regarding compliance with geometric tolerances and exact quantifiable physical parameters, in terms of product certification are therefore imperative. The quality of the components must not only be sustainably secured but also reproducible at any time. Quality control and quality assurance are the prerequisite for highly customized unique parts, or even batch size 1 product, that can be produced by additive manufacturing as efficiently as conventional mass-produced parts. This paper will discuss an approach for the identification of in-line defects and failures during Additive Manufacturing Powder Bed Fusion processes using the example of the Selective Laser Sintering process.
© The Authors, published by EDP Sciences, 2017
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.
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