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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Naji, M.
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Panwisawas, Chinnapat

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Queen Mary University of London

in Cooperation with on an Cooperation-Score of 37%

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Publications (22/22 displayed)

  • 2024Pore evolution mechanisms during directed energy deposition additive manufacturing48citations
  • 2024Pore evolution mechanisms during directed energy deposition additive manufacturingcitations
  • 2023Multi-length-scale study on the heat treatment response to supersaturated nickel-based superalloys25citations
  • 2022Development, characterisation, and modelling of processability of nitinol stents using laser powder bed fusion55citations
  • 2021Ultra-high temperature deformation in a single crystal superalloy27citations
  • 2021High Entropy Alloys as Filler Metals for Joining32citations
  • 2020Relating micro-segregation to site specific high temperature deformation in single crystal nickel-base superalloy castings18citations
  • 2018Mean-field modelling of the intermetallic precipitate phases during heat treatment and additive manufacture of Inconel 71841citations
  • 2018History dependence of the microstructure on time-dependent deformation during in-situ cooling of a nickel-based single crystal superalloy8citations
  • 2018A computational study on the three-dimensional printability of precipitate-strengthened nickel-based superalloys29citations
  • 2017The contrasting roles of creep and stress relaxation in the time-dependent deformation during in-situ cooling of a nickel-base single crystal superalloy9citations
  • 2017Keyhole formation and thermal fluid flow-induced porosity during laser fusion welding in titanium alloys227citations
  • 2017Mesoscale modelling of selective laser melting270citations
  • 2016Porosity formation in laser welded Ti-6Al-4V Alloy: modelling and validationcitations
  • 2016Linking a CFD and FE analysis for Welding Simulations in Ti-6Al-4Vcitations
  • 2016Linking a CFD and FE analysis for Welding Simulations in Ti-6Al-4Vcitations
  • 2016An integrated modelling approach for predicting process maps of residual stress and distortion in a laser weld1citations
  • 2015On the role of thermal fluid dynamics into the evolution of porosity during selective laser melting209citations
  • 2015On the role of melt flow into the surface structure and porosity development during selective laser melting854citations
  • 2013Modelling and prediction of recrystallisation in single crystal superalloyscitations
  • 2012Prediction of plastic strain for recrystallisation during investment casting of single crystal superalloys10citations
  • 2011Numerical modelling of stress and strain evolution during solidification of a single crystal superalloy5citations

Places of action

Chart of shared publication
Bhagavath, Shishira
2 / 4 shared
Lukic, Bratislav
2 / 4 shared
Fitzpatrick, Maureen A.
1 / 2 shared
Majkut, Marta
2 / 17 shared
Leung, Chu Lun Alex
2 / 10 shared
Marussi, Sebastian
2 / 10 shared
Jakata, Kudakwashe
2 / 2 shared
Fan, Xianqiang
2 / 4 shared
Zhang, Kai
1 / 1 shared
Lee, Peter D.
2 / 43 shared
Jones, Martyn A.
2 / 4 shared
Rack, Alexander
2 / 18 shared
Chen, Yunhui
1 / 5 shared
Fitzpatrick, Maureen
1 / 1 shared
Zhang, Kai
1 / 17 shared
Shinjo, Junji
1 / 1 shared
Ghoussoub, Joseph N.
1 / 4 shared
Reed, Roger C.
2 / 23 shared
Gong, Yilun
1 / 3 shared
Grovenor, Chris R. M.
1 / 2 shared
Lozano-Perez, Sergio
1 / 19 shared
Liu, Junliang
1 / 5 shared
Tang, Yuanbo
2 / 7 shared
Moody, Michael P.
1 / 8 shared
Salvati, Enrico
1 / 9 shared
Shen, Zhao
1 / 1 shared
Bagot, Paul A. J.
1 / 15 shared
Collins, Dm
5 / 36 shared
Jenkins, Benjamin M.
1 / 2 shared
Michalik, Stefan
1 / 14 shared
Roebuck, Bryan
4 / 5 shared
Korsunsky, Alexander M.
1 / 32 shared
Feng, Jiling
1 / 1 shared
Langi, Enzoh
1 / 6 shared
Jamshidi, Parastoo
1 / 10 shared
Attallah, Moataz Moataz
4 / 96 shared
Cox, Sophie C.
1 / 18 shared
Zhao, Liguo
1 / 13 shared
Dsouza, Neil
4 / 4 shared
Karamched, Phani
1 / 4 shared
Livera, Frances
1 / 2 shared
Way, Matthew
1 / 1 shared
Morell, Xavier Sanuy
1 / 1 shared
Luo, Dan
1 / 4 shared
Dong, Hongbiao
1 / 13 shared
Snell, Robert
1 / 1 shared
Ludford, Nicholas
1 / 1 shared
Goodall, Russell
1 / 9 shared
Hardwick, Liam
1 / 3 shared
West, Geoff
1 / 6 shared
Basoalto, Hector
5 / 9 shared
Turner, Richard
7 / 27 shared
Anderson, Magnus
2 / 3 shared
Brooks, Jeffery
5 / 12 shared
Sovani, Yogesh
6 / 6 shared
Browmik, Ayan
1 / 1 shared
Brooks, J. W.
3 / 4 shared
Basoalto, H. C.
2 / 6 shared
Anderson, M. J.
1 / 6 shared
Sovani, Y.
2 / 3 shared
Saunders, B.
1 / 3 shared
Bhowmik, Ayan
1 / 9 shared
Turner, Nathanael
1 / 1 shared
Perumal, Bama
5 / 8 shared
Ward, Mark
5 / 25 shared
Qiu, Chunlei
2 / 14 shared
Basoalto, Hector C.
3 / 3 shared
Brooks, Jeffery W.
2 / 3 shared
Turner, Richard P.
1 / 1 shared
Ward, R. Mark
1 / 1 shared
Qiu, C. L.
1 / 1 shared
Withey, P.
1 / 3 shared
Rae, C. M. F.
1 / 13 shared
Reed, R. C.
1 / 15 shared
Warnken, Nils
2 / 40 shared
Mathur, H.
1 / 2 shared
Putman, D. C.
1 / 1 shared
Gebelin, J. C.
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Gebelin, Jean Christophe
1 / 3 shared
Broomfield, Robert W.
1 / 1 shared
Chart of publication period
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Co-Authors (by relevance)

  • Bhagavath, Shishira
  • Lukic, Bratislav
  • Fitzpatrick, Maureen A.
  • Majkut, Marta
  • Leung, Chu Lun Alex
  • Marussi, Sebastian
  • Jakata, Kudakwashe
  • Fan, Xianqiang
  • Zhang, Kai
  • Lee, Peter D.
  • Jones, Martyn A.
  • Rack, Alexander
  • Chen, Yunhui
  • Fitzpatrick, Maureen
  • Zhang, Kai
  • Shinjo, Junji
  • Ghoussoub, Joseph N.
  • Reed, Roger C.
  • Gong, Yilun
  • Grovenor, Chris R. M.
  • Lozano-Perez, Sergio
  • Liu, Junliang
  • Tang, Yuanbo
  • Moody, Michael P.
  • Salvati, Enrico
  • Shen, Zhao
  • Bagot, Paul A. J.
  • Collins, Dm
  • Jenkins, Benjamin M.
  • Michalik, Stefan
  • Roebuck, Bryan
  • Korsunsky, Alexander M.
  • Feng, Jiling
  • Langi, Enzoh
  • Jamshidi, Parastoo
  • Attallah, Moataz Moataz
  • Cox, Sophie C.
  • Zhao, Liguo
  • Dsouza, Neil
  • Karamched, Phani
  • Livera, Frances
  • Way, Matthew
  • Morell, Xavier Sanuy
  • Luo, Dan
  • Dong, Hongbiao
  • Snell, Robert
  • Ludford, Nicholas
  • Goodall, Russell
  • Hardwick, Liam
  • West, Geoff
  • Basoalto, Hector
  • Turner, Richard
  • Anderson, Magnus
  • Brooks, Jeffery
  • Sovani, Yogesh
  • Browmik, Ayan
  • Brooks, J. W.
  • Basoalto, H. C.
  • Anderson, M. J.
  • Sovani, Y.
  • Saunders, B.
  • Bhowmik, Ayan
  • Turner, Nathanael
  • Perumal, Bama
  • Ward, Mark
  • Qiu, Chunlei
  • Basoalto, Hector C.
  • Brooks, Jeffery W.
  • Turner, Richard P.
  • Ward, R. Mark
  • Qiu, C. L.
  • Withey, P.
  • Rae, C. M. F.
  • Reed, R. C.
  • Warnken, Nils
  • Mathur, H.
  • Putman, D. C.
  • Gebelin, J. C.
  • Gebelin, Jean Christophe
  • Broomfield, Robert W.
OrganizationsLocationPeople

document

Linking a CFD and FE analysis for Welding Simulations in Ti-6Al-4V

  • Basoalto, Hector
  • Turner, Richard
  • Brooks, Jeffery
  • Perumal, Bama
  • Panwisawas, Chinnapat
  • Ward, Mark
  • Sovani, Yogesh
Abstract

Finite element (FE) modelling of fusion welding methods has become an established numerical tool used by high-value manufacturing industries and academic communities, largely due to its capabilities to predict residual stress and distortion. However, a major drawback of this type of approach is the requirement to perform a test weld at the relevant process parameters, geometry and material to understand the size and shape of the weld pool formed. With this knowledge a priori the FE model can then be used to best-fit the thermal cycles to the part, and from the thermal field predict the mechanical response to this thermal loading. This well-established method of FE simulation reduces the predictive capabilities of the model. Thus, an improved method of using a different modelling strategy to feed the thermal cycles in to the FE model is desirable. A computational fluid dynamics (CFD) modelling capability has been developed which is able to predict not just weld pool shape, but using real physical phenomena such as surface tension and thermo-capillary forces, buoyancy forces and interfacial phenomena between solid-liquid and liquid-gas phases, can predict thermal fluid flow lines within the molten region, the presence of regions susceptible to porosity and the formation of the keyhole phase, containing metallic vapor. Using simplistic Cartesian co-ordinates the fusion boundary can be extracted from CFD analysis for entry in to an FE model for structural analysis in terms of residual stress and distortions. Therefore, the modelling approach predicts both fluid type and structural type properties of the transient welding operation.

Topics
  • impedance spectroscopy
  • surface
  • simulation
  • porosity
  • gas phase