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 (2/2 displayed)

  • 2018Investment casting and experimental testing of heat sinks designed by topology optimization82citations
  • 2014Design of manufacturable 3D extremal elastic microstructure282citations

Places of action

Chart of shared publication
Haertel, Jan Hendrik Klaas
1 / 1 shared
Sanna, Simone
1 / 26 shared
Lei, Tian
1 / 1 shared
Engelbrecht, Kurt
1 / 8 shared
Wang, Fengwen
1 / 18 shared
Alexandersen, Joe
1 / 1 shared
Sigmund, Ole
2 / 47 shared
Andreassen, Erik
1 / 5 shared
Chart of publication period
2018
2014

Co-Authors (by relevance)

  • Haertel, Jan Hendrik Klaas
  • Sanna, Simone
  • Lei, Tian
  • Engelbrecht, Kurt
  • Wang, Fengwen
  • Alexandersen, Joe
  • Sigmund, Ole
  • Andreassen, Erik
OrganizationsLocationPeople

article

Investment casting and experimental testing of heat sinks designed by topology optimization

  • Haertel, Jan Hendrik Klaas
  • Sanna, Simone
  • Lei, Tian
  • Lazarov, Boyan Stefanov
  • Engelbrecht, Kurt
  • Wang, Fengwen
  • Alexandersen, Joe
  • Sigmund, Ole
Abstract

Topology optimization (TO) is an attractive numerical tool to obtain optimized engineering designs, which has been originally developed for mechanical optimization and extended to the area of conjugate heat transfer. With rapid developments in topology optimization models, promising designs have been proposed and presented recently for conjugate heat transfer problems. However, only a very small number of experimental validations of TO heat transfer devices have been reported. In this paper, investment casting (IC) using 3D stereolithography (SLA) printed patterns is proposed to fabricate 3D metal heat transfer devices designed by TO. Three heat sinks for natural convection are designed by a previously reported topology optimization model and five reference pin-fin heat sinks are devised for comparison. From those designs six heat sinks are cast in Britannia metal, fully reproducing the complex 3D optimized designs. It shows that SLA-assisted IC is a very promising technology with low cost and high accuracy for fabricating TO metal parts, which is not limited to heat transfer devices and can be extended to other areas such as structural optimization. A natural convection experimental setup is used to experimentally study the performance of the fabricated heat sinks. The results show that the tested TO heat sinks can always realize the best heat dissipation performance compared to pin-fin heat sinks, when operating under the conditions used for the optimization. Moreover, validation simulations have been conducted to investigate the temperature distribution, fluid flow pattern and local heat transfer coefficient for the TO and pin-fin designs, further evidencing that TO designs always perform better under the design conditions. In addition, the impact of heat sink orientation and radiation are presented.

Topics
  • impedance spectroscopy
  • simulation
  • ion chromatography
  • investment casting