Visual measurement of layer thickness in multi-layered functionally graded metal materials

Multi-layered functionally gradient metal materials are formed by metal material deposing with Laser Engineered Net Shaping (LENS) technology. LENS is an additive manufacturing technique that employs a high-power laser as the power source to fuse powdered metals into fully dense three-dimensional st...

Full description

Saved in:
Bibliographic Details
Published inAdvances in production engineering & management Vol. 11; no. 2; pp. 105 - 114
Main Authors Zuperl, U, Radic, A, Cus, F, Irgolic, T
Format Journal Article
LanguageEnglish
Published Maribor University of Maribor, Faculty of Mechanical Engineering, Production Engineering Institute 01.06.2016
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Multi-layered functionally gradient metal materials are formed by metal material deposing with Laser Engineered Net Shaping (LENS) technology. LENS is an additive manufacturing technique that employs a high-power laser as the power source to fuse powdered metals into fully dense three-dimensional structures layer by layer. Layer thickness is an important factor in machining and processing of such advanced materials, as well as in the production, as a feedback to LENS machine operator. Knowing the thickness of the manufactured layer of multi-layered metal material is fundamental for understanding the LENS process and optimizing the machining operations. In this article, software for visual multi-layered functionally graded material layer thickness measurement is presented. The layer thickness is automatically determined by the software that is programmed in Matlab/Simulink, high-level programming language. The software is using cross-section metallographic images of cladded layers for thickness measuring. Graphic User Interface is also created and presented. The results of measurement are presented to demonstrate the efficiency of the developed measurement software.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1854-6250
1855-6531
DOI:10.14743/apem2016.2.213