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Gerd Witt

Researcher at University of Duisburg-Essen

Publications -  85
Citations -  1487

Gerd Witt is an academic researcher from University of Duisburg-Essen. The author has contributed to research in topics: Selective laser sintering & Laser. The author has an hindex of 16, co-authored 81 publications receiving 991 citations. Previous affiliations of Gerd Witt include RWTH Aachen University.

Papers
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Journal ArticleDOI

Inconel 625 lattice structures manufactured by selective laser melting (SLM): Mechanical properties, deformation and failure modes

TL;DR: In this article, the mechanical response of Inconel 625 lattice structures fabricated by Selective Laser Melting (SLM) has been investigated and the high ductility of the lattice enables novel insight into the structural mechanics of AM lattice and the associated deformation photography provides a reference for the validation and verification of numerical models of lattice behaviour.
Book ChapterDOI

Error detection in laser beam melting systems by high resolution imaging

TL;DR: In this article, the authors present an overview of typical process errors and propose a catalog of measures to reduce process breakdowns, based on which a future contribution to quality assurance and process documentation is aspired.
Journal ArticleDOI

Characterization of typical surface effects in additive manufacturing with confocal microscopy

TL;DR: In this article, a new measurement approach by a confocal microscope and three-dimensional surface parameters was proposed to classify different surface orientations and on a special issue in laser sintering: orange peel severity.
Proceedings ArticleDOI

High resolution imaging for inspection of Laser Beam Melting systems

TL;DR: This work presents a high resolution imaging system for inspection of LBM systems which can be easily integrated into existing machines and shows that the system can detect topological flaws and is able to inspect the surface quality of built layers.
Journal ArticleDOI

Correlation of Process Parameters and Part Properties in Laser Sintering using Response Surface Modeling

TL;DR: In this paper, an approach using response surface methodology was chosen to correlate part properties with main influencing factors to predict and to improve part properties based on an enhanced process understanding, and the results showed that part quality, process interruptions, and defective parts can be improved based on the improved process understanding.