Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Technical University of Munich

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2025Materialeffiziente Produktion in der Ur- und Umformtechnikcitations
  • 2023Studies on the Use of Laser Directed Energy Deposition for the Additive Manufacturing of Lightweight Parts1citations
  • 2023Design and Investigation of a Novel Local Shielding Gas Concept for Laser Metal Deposition with Coaxial Wire Feeding7citations
  • 2022Inline Weld Depth Evaluation and Control Based on OCT Keyhole Depth Measurement and Fuzzy Control8citations

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Chart of shared publication
Weck, Daniel
1 / 31 shared
Zapata, Avelino
3 / 3 shared
Müller-Pabel, Michael
1 / 34 shared
Selvaggio, Alessandro
1 / 24 shared
Zäh, Michael F.
1 / 7 shared
Tekkaya, A. Erman
1 / 34 shared
Gude, Mike
1 / 775 shared
Zaeh, Michael F.
3 / 10 shared
Celba, Matous
1 / 1 shared
Baehr, Siegfried
1 / 2 shared
Meinzinger, Lukas
1 / 1 shared
Zhao, Xiao Fan
1 / 1 shared
Schmoeller, Maximilian
1 / 2 shared
Stadter, Christian
1 / 1 shared
Weiss, Tony
1 / 1 shared
Goetz, Korbinian
1 / 1 shared
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Co-Authors (by relevance)

  • Weck, Daniel
  • Zapata, Avelino
  • Müller-Pabel, Michael
  • Selvaggio, Alessandro
  • Zäh, Michael F.
  • Tekkaya, A. Erman
  • Gude, Mike
  • Zaeh, Michael F.
  • Celba, Matous
  • Baehr, Siegfried
  • Meinzinger, Lukas
  • Zhao, Xiao Fan
  • Schmoeller, Maximilian
  • Stadter, Christian
  • Weiss, Tony
  • Goetz, Korbinian
OrganizationsLocationPeople

article

Inline Weld Depth Evaluation and Control Based on OCT Keyhole Depth Measurement and Fuzzy Control

  • Bernauer, Christian
  • Schmoeller, Maximilian
  • Zaeh, Michael F.
  • Stadter, Christian
  • Weiss, Tony
  • Goetz, Korbinian
Abstract

<jats:p>In an industrial joining process, exemplified by deep penetration laser beam welding, ensuring a high quality of welds requires a great effort. The quality cannot be fully established by testing, but can only be produced. The fundamental requirements for a high weld seam quality in laser beam welding are therefore already laid in the process, which makes the use of control systems essential in fully automated production. With the aid of process monitoring systems that can supply data inline to a production process, the foundation is laid for the efficient and cycle-time-neutral control of welding processes. In particular, if novel, direct measurement methods, such as Optical Coherence Tomography, are used for the acquisition of direct geometric quantities, e.g., the weld penetration depth, a significant control potential can be exploited. In this work, an inline weld depth control system based on an OCT keyhole depth measurement is presented. The system is capable of automatically executing an inline control of the deep penetration welding process based only on a specified target weld depth. The performance of the control system was demonstrated on various aluminum alloys and for different penetration depths. In addition, the ability of the control to respond to unforeseen external disturbances was tested. Within the scope of this work, it was thus possible to provide an outlook on future developments in the field of laser welding technology, which could develop in the direction of an intuitive manufacturing process. This objective should be accomplished through the use of intelligent algorithms and innovative measurement technology—following the example of laser beam cutting, where the processing systems themselves have been provided with the ability to select suitable process parameters for several years now.</jats:p>

Topics
  • impedance spectroscopy
  • tomography
  • aluminium
  • joining