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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University of Brighton

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (5/5 displayed)

  • 2024Deciphering microbial communities involved in marine steel corrosion using high-throughput amplicon sequencing2citations
  • 2016Robotic path planning for non-destructive testing - a custom MATLAB toolbox approach92citations
  • 2015Rapid inspection of composite and additive manufactured components using advanced ultrasonic techniquescitations
  • 2014The development of a fast inspection system for complex aerospace composite structurecitations
  • 2014Robotic path planning for non-destructive testing of complex shaped surfacescitations

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Moles, Norman
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Smith, Martin Peter
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Mineo, Carmelo
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Nicholson, Pascual Ian
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Pierce, Stephen
2 / 51 shared
Liaptsis, Dimos
2 / 2 shared
Freemantle, Richard
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Wright, Ben
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Co-Authors (by relevance)

  • Moles, Norman
  • Willows, Alison
  • Smith, Martin Peter
  • Shibulal, Biji
  • Burgess, Heidi Marie
  • Mineo, Carmelo
  • Nicholson, Pascual Ian
  • Pierce, Stephen
  • Liaptsis, Dimos
  • Freemantle, Richard
  • Wright, Ben
OrganizationsLocationPeople

article

Robotic path planning for non-destructive testing - a custom MATLAB toolbox approach

  • Mineo, Carmelo
  • Nicholson, Pascual Ian
  • Cooper, Ian
  • Pierce, Stephen
Abstract

The requirement to increase inspection speeds for non-destructive testing (NDT) of composite aerospace parts is common to many manufacturers. The prevalence of complex curved surfaces in the industry provides motivation for the use of 6 axis robots in these inspections. The purpose of this paper is to present work undertaken for the development of a KUKA robot manipulator based automated NDT system. A new software solution is presented that enables flexible trajectory planning to be accomplished for the inspection of complex curved surfaces often encountered in engineering production. The techniques and issues associated with conventional manual inspection techniques and automated systems for the inspection of large complex surfaces were reviewed. This approach has directly influenced the development of a MATLAB toolbox targeted to NDT automation, capable of complex path planning, obstacle avoidance, and external synchronization between robots and associated external NDT systems. This paper highlights the advantages of this software over conventional off-line-programming approaches when applied to NDT measurements. An experimental validation of path trajectory generation, on a large and curved composite aerofoil component, is presented. Comparative metrology experiments were undertaken to evaluate the real path accuracy of the toolbox when inspecting a curved 0.5 m2 and a 1.6 m2 surface using a KUKA KR16 L6-2 robot. The results have shown that the deviation of the distance between the commanded TCPs and the feedback positions were within 2.7 mm. The variance of the standoff between the probe and the scanned surfaces was smaller than the variance obtainable via commercial path-planning software.Tool paths were generated directly on the triangular mesh imported from the CAD models of the inspected components without need for an approximating analytical surface.<br/>By implementing full external control of the robotic hardware, it has been possible to synchronise the NDT data collection with positions at all points along the path, and our approach allows for the future development of additional functionality that is specific to NDT inspection problems.For the current NDT application, the deviations from CAD design and the requirements for both coarse and fine inspections, dependent on measured NDT data, demand flexibility in path planning beyond what is currently available from existing off-line robot programming software.

Topics
  • impedance spectroscopy
  • surface
  • experiment
  • composite
  • collision-induced dissociation