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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (5/5 displayed)

  • 2022Numerical modelling of friction stir welding of pipes:Effect of tool shoulder on mechanical property and metallurgical characterization21citations
  • 2020Emissions of volatile organic compounds from crude oil processing - global emission inventory and environmental release165citations
  • 2020Numerical modelling of microstructure in friction stir welding of aluminium alloys47citations
  • 2012Drilling of woven glass fiber-reinforced plastic - An experimental and finite element study26citations
  • 2012Drilling of woven glass fiber-reinforced plastic - An experimental and finite element study26citations

Places of action

Chart of shared publication
Pal, Surjya K.
3 / 6 shared
Iqbal, Md Perwej
2 / 2 shared
Jain, Rahul
2 / 4 shared
Lea-Langton, Amanda
1 / 2 shared
Rajabi, Hamid
1 / 8 shared
Sedighi, Majid
1 / 5 shared
Mosleh, Mojgan Hadi
1 / 1 shared
Tripathi, Ashish
1 / 1 shared
Mahto, Raju P.
1 / 2 shared
Pal, S. K.
1 / 2 shared
Chakladar, Nilanjan Das
1 / 1 shared
Das Chakladar, Nilanjan
1 / 1 shared
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2022
2020
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Co-Authors (by relevance)

  • Pal, Surjya K.
  • Iqbal, Md Perwej
  • Jain, Rahul
  • Lea-Langton, Amanda
  • Rajabi, Hamid
  • Sedighi, Majid
  • Mosleh, Mojgan Hadi
  • Tripathi, Ashish
  • Mahto, Raju P.
  • Pal, S. K.
  • Chakladar, Nilanjan Das
  • Das Chakladar, Nilanjan
OrganizationsLocationPeople

article

Numerical modelling of microstructure in friction stir welding of aluminium alloys

  • Tripathi, Ashish
  • Mahto, Raju P.
  • Mandal, Parthasarathi
  • Iqbal, Md Perwej
  • Jain, Rahul
  • Pal, S. K.
Abstract

Mechanical properties like strength and hardness depend largely on microstructure. The conventional methods to evaluate microstructure such as optical and electron-based microscopy require a substantial amount of time and are expensive as well. To deal with this issue, the present work reports evaluation of the microstructure via numerical modelling in friction stir welding (FSW). This includes a 3-D thermo-mechanical model built on the Lagrangian implicit formulation. It has been experimentally validated for different processing conditions. A coupled approach combining Cellular Automaton (CA) and Laasraoui and Jonas (LJ) with the thermo-mechanical model is followed. Temperature, strain and strain rate form the inputs from the developed model to predict the microstructure. Nucleation and grain growth have also been considered in the model. The results have been validated by comparing the experimentally obtained grain size results at the weld zones namely stir zone, thermo-mechanically affected zone and heat-affected zone; and the percentage errors are 7.3%, 10.6%, and 8.5%, respectively. The effects of two key process parameters (tool rotation (ω) and welding speed (v)) on temperature and effective strain have been investigated and correlated with the obtained grain size.

Topics
  • impedance spectroscopy
  • grain
  • grain size
  • aluminium
  • strength
  • aluminium alloy
  • hardness
  • recrystallization
  • grain growth
  • microscopy