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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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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2021A cost-function driven adaptive welding framework for multi-pass robotic welding12citations

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Chart of shared publication
Dobie, Gordon
1 / 21 shared
Loukas, Charalampos
1 / 13 shared
Gachagan, Anthony
1 / 76 shared
Sibson, Jim
1 / 3 shared
Vasilev, Momchil
1 / 17 shared
Jones, Richard
1 / 6 shared
Macleod, Charles N.
1 / 45 shared
Pierce, Stephen
1 / 51 shared
Chart of publication period
2021

Co-Authors (by relevance)

  • Dobie, Gordon
  • Loukas, Charalampos
  • Gachagan, Anthony
  • Sibson, Jim
  • Vasilev, Momchil
  • Jones, Richard
  • Macleod, Charles N.
  • Pierce, Stephen
OrganizationsLocationPeople

article

A cost-function driven adaptive welding framework for multi-pass robotic welding

  • Williams, Veronica
  • Dobie, Gordon
  • Loukas, Charalampos
  • Gachagan, Anthony
  • Sibson, Jim
  • Vasilev, Momchil
  • Jones, Richard
  • Macleod, Charles N.
  • Pierce, Stephen
Abstract

Manual teaching of robot paths and welding parameters for multi-pass robotic welding is a cumbersome and time-consuming task, which decreases the flexibility, adaptability, and potential of such systems. This paper introduces and presents a new automated weld parameter and pass deposition sequencing framework, which builds on the current state of the art developments and enables automatic planning of multi-pass welding for single-sided V-groove geometries. By integrating a novel cost-function concept that permutates and identifies the welding parameters for each layer through a user-driven weighting, the framework delivers the minimum number of passes, filler material and welding arc time based on application requirements. A mathematical model relating the cross-section area of beads with the pose of the torch and weaving width was built upon to allow full-process automated welding parameter generation and adaption for different geometric characteristics of the groove. The concept methodology and framework were then developed and verified experimentally, through robotically deployed Metal Active Gas (MAG) welding. For a given representative joint, the arc welding time and amount of filler wire were found to be 32.9 % and 26.18 % lower respectively, than the worst-case available welding parameter combination, delivering a corresponding decrease in direct automated welding manufacturing costs. Lastly, an ultrasonic inspection was undertaken to verify the consistent quality of the weldments validating the framework outcome and enabling welding pass automation through robotic systems.

Topics
  • Deposition
  • impedance spectroscopy
  • positron annihilation lifetime spectroscopy
  • Photoacoustic spectroscopy
  • ultrasonic
  • wire