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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Publications (31/31 displayed)

  • 2024Quantifying Intra-Tow Fiber Volume Fraction in GFRP::A Comparison of 3D Non-Destructive X-ray Computed Tomography and Destructive Optical Microscopycitations
  • 2023Holistic computational design within additive manufacturing through topology optimization combined with multiphysics multi-scale materials and process modelling69citations
  • 2022Increasing the productivity of selective laser sintering workflow by integrating cooling channels in the printing powder matrix1citations
  • 2021Towards a digital twin of laser powder bed fusion with a focus on gas flow variables30citations
  • 2020Resolving the effects of local convective heat transfer via adjustment of thermo-physical properties in pure heat conduction simulation of Laser Powder Bed Fusion (L-PBF)11citations
  • 2020Numerical investigation into the effect of different parameters on the geometrical precision in the laser-based powder bed fusion process Chain8citations
  • 2020Numerical investigation into the effect of different parameters on the geometrical precision in the laser-based powder bed fusion process Chain8citations
  • 2020Multi-metal additive manufacturing process chain for optical quality mold generation13citations
  • 2020Laser polishing of additively manufactured Ti-6Al-4V: Microstructure evolution and material properties11citations
  • 2020Realistic design of laser powder bed fusion channels4citations
  • 2020Microstructural modelling of above β-transus heat treatment of additively manufactured Ti-6Al-4V using cellular automata7citations
  • 2020X-ray CT and image analysis methodology for local roughness characterization in cooling channels made by metal additive manufacturing48citations
  • 2019Roughness Investigation of SLM Manufactured Conformal Cooling Channels Using X-ray Computed Tomographycitations
  • 2019Roughness Investigation of SLM Manufactured Conformal Cooling Channels Using X-ray Computed Tomographycitations
  • 2019Multi-material additive manufacturing of steels using laser powder bed fusioncitations
  • 2019A systematic investigation of the effects of process parameters on heat and fluid flow and metallurgical conditions during laser-based powder bed fusion of Ti6Al4V alloy76citations
  • 2019Build orientation effects on the roughness of SLM channelscitations
  • 2018Multiphysics modelling of manufacturing processes: A review28citations
  • 2018Multiphysics modelling of manufacturing processes: A review28citations
  • 2018Thermo-fluid-metallurgical modelling of laser-based powder bed fusion processcitations
  • 2018Modelling of the microstructural evolution of Ti6Al4V parts produced by selective laser melting during heat treatmentcitations
  • 2018Thermo-fluid-metallurgical modelling of the selective laser melting process chain23citations
  • 2018Numerical modelling and parametric study of grain morphology and resultant mechanical properties from selective laser melting process of Ti6Al4Vcitations
  • 2018Defects investigation in additively manufactured steel products for injection mouldingcitations
  • 2017Multi-objective optimization of cellular scanning strategy in selective laser melting8citations
  • 2017Laser additive manufacturing of multimaterial tool inserts: a simulation-based optimization study12citations
  • 2016Improving accuracy of overhanging structures for selective laser melting through reliability characterization of single track formation on thick powder beds8citations
  • 2016Reducing residual stresses and deformations in selective laser melting through multi-level multi-scale optimization of cellular scanning strategy10citations
  • 2015Cellular scanning strategy for selective laser melting: Generating reliable, optimized scanning paths and processing parameters7citations
  • 2014Numerical Model based Reliability Estimation of Selective Laser Melting Process33citations
  • 2013A finite volume alternate direction implicit approach to modeling selective laser meltingcitations

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Chart of shared publication
Lisegaard, Jesper John
1 / 1 shared
Hattel, Jesper Henri
3 / 28 shared
Adhikari, Debabrata
1 / 1 shared
Spangenberg, Jon
3 / 76 shared
Bayat, Mohamad
7 / 23 shared
Ayas, Can
1 / 8 shared
Ferrari, Federico
1 / 3 shared
Langelaar, Matthijs
1 / 21 shared
Hattel, Jesper
1 / 4 shared
Poulios, Konstantinos
1 / 21 shared
Salajeghe, Roozbeh
1 / 1 shared
Sigmund, Ole
1 / 47 shared
Zinovieva, Olga
1 / 3 shared
Knudsen, Rasmus Peter
1 / 1 shared
Tosello, Guido
4 / 101 shared
Burger, Tamás
1 / 1 shared
Klingaa, Christopher Gottlieb
5 / 10 shared
Hattel, Jh
21 / 160 shared
Hjermitslev, A. B.
1 / 1 shared
Haahr-Lillevang, L.
1 / 1 shared
Funch, Cecilie Vase
1 / 3 shared
Nadimpalli, Venkata Karthik
2 / 35 shared
Baere, David De
1 / 1 shared
Moshiri, Mandanà
2 / 2 shared
De Baere, David
4 / 5 shared
Bissacco, G.
1 / 2 shared
Biondani, Francesco Giuseppe
1 / 8 shared
Hansen, Hans Nørgaard
1 / 128 shared
Tang, P. T.
1 / 4 shared
Pfleging, Wilhelm
1 / 25 shared
Seifert, Hans J.
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Weidler, Peter G.
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Solheid, Juliana S.
1 / 3 shared
Wunsch, Torsten
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Dahmen, T.
2 / 7 shared
Baier, S.
2 / 2 shared
Bjerre, Mathias K.
1 / 1 shared
Baier, Sina
2 / 10 shared
De Chiffre, Leonardo
1 / 23 shared
Hattel, Jesper H.
1 / 11 shared
Klingaa, Christopher G.
1 / 1 shared
Chiffre, Leonardo De
1 / 39 shared
Bjerre, Mk
1 / 7 shared
Dahmen, Thomas
1 / 7 shared
Valente, Emilie Hørdum
2 / 18 shared
Pedersen, David Bue
1 / 81 shared
Jabbari, Masoud
2 / 35 shared
Nielsen, Michael Wenani
2 / 8 shared
Comminal, Raphaël
1 / 9 shared
Sonne, Mads Rostgaard
1 / 3 shared
Baran, Ismet
2 / 13 shared
Sonne, Mads S.
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Moshiri, Mandaná
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Ahrari, Ali
1 / 1 shared
Deb, Kalyanmoy
1 / 3 shared
Chart of publication period
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Co-Authors (by relevance)

  • Lisegaard, Jesper John
  • Hattel, Jesper Henri
  • Adhikari, Debabrata
  • Spangenberg, Jon
  • Bayat, Mohamad
  • Ayas, Can
  • Ferrari, Federico
  • Langelaar, Matthijs
  • Hattel, Jesper
  • Poulios, Konstantinos
  • Salajeghe, Roozbeh
  • Sigmund, Ole
  • Zinovieva, Olga
  • Knudsen, Rasmus Peter
  • Tosello, Guido
  • Burger, Tamás
  • Klingaa, Christopher Gottlieb
  • Hattel, Jh
  • Hjermitslev, A. B.
  • Haahr-Lillevang, L.
  • Funch, Cecilie Vase
  • Nadimpalli, Venkata Karthik
  • Baere, David De
  • Moshiri, Mandanà
  • De Baere, David
  • Bissacco, G.
  • Biondani, Francesco Giuseppe
  • Hansen, Hans Nørgaard
  • Tang, P. T.
  • Pfleging, Wilhelm
  • Seifert, Hans J.
  • Weidler, Peter G.
  • Solheid, Juliana S.
  • Wunsch, Torsten
  • Dahmen, T.
  • Baier, S.
  • Bjerre, Mathias K.
  • Baier, Sina
  • De Chiffre, Leonardo
  • Hattel, Jesper H.
  • Klingaa, Christopher G.
  • Chiffre, Leonardo De
  • Bjerre, Mk
  • Dahmen, Thomas
  • Valente, Emilie Hørdum
  • Pedersen, David Bue
  • Jabbari, Masoud
  • Nielsen, Michael Wenani
  • Comminal, Raphaël
  • Sonne, Mads Rostgaard
  • Baran, Ismet
  • Sonne, Mads S.
  • Moshiri, Mandaná
  • Ahrari, Ali
  • Deb, Kalyanmoy
OrganizationsLocationPeople

article

A systematic investigation of the effects of process parameters on heat and fluid flow and metallurgical conditions during laser-based powder bed fusion of Ti6Al4V alloy

  • Hattel, Jh
  • Mohanty, Sankhya
  • Bayat, Mohamad
Abstract

Additive manufacturing (AM) of metals faces a growing number of applications in different industries e.g. aerospace, medical, automotive, etc. Although metal AM outweighs current conventional production methods in some certain areas, the exact effect of processing conditions on the final quality and microstructure of the parts is still not well understood. An efficient way of understanding the effect of these processing conditions on a part’s quality is via a calibrated and validated numerical model. Hence, in the current work a finite element model for analyzing the heat and fluid flow along with metallurgical conditions during Laser-based Powder Bed Fusion (L-PBF) of a titanium alloy has been developed and implemented in the commercial software code COMSOL Multiphysics. The thermal effect of the laser is modelled via a novel conico-Gaussian moving heat source, based on the concept of modified optical penetration depth. Analytical expressions for the geometrical distribution of the heat source are derived to obtain the heat source’s effective depth. The model has been both verified and validated through mesh sensitivity analysis and comparison with experimental results. Furthermore, a detailed description about the role of the various driving forces for fluid flow has been given based on a thorough analysis using relevant dimensionless numbers. A systematic procedure to study the influence of neglecting the fluid flow inside the melt pool on the thermal field has also been devised. Moreover, a parametric study has been carried out to understand the effect of varying beam size and laser travel speed on heat and fluid flow conditions along with the final microstructures. The results show that changing the beam size or travel speed highly influences the grain sizes, dendritic growth directions and also the grain morphologies. To study the metallurgical conditions of the process, a microstructural sub-model has been developed. It is shown that by choosing different process parameters, one can manipulate the direction of the dendritic growth and change the grain sizes. Specifically, it is found that the overall effect of changing beam size on grain morphology is less pronounced than changing the travelling speed.

Topics
  • impedance spectroscopy
  • morphology
  • grain
  • grain size
  • melt
  • laser emission spectroscopy
  • selective laser melting
  • titanium
  • titanium alloy