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 (2/2 displayed)

  • 2019Cost-driven build orientation and bin packing of parts in Selective Laser Melting (SLM)73citations
  • 2018Logical Knowledge-based Advanced Cost Estimation Methodology (LKACEM) Applied to Metal Matrix Composite Aero-Engine Bliskcitations

Places of action

Chart of shared publication
Martinez, Antonio
1 / 1 shared
Scanlan, James P.
1 / 2 shared
Griffiths, Valeriya
1 / 2 shared
Eres, Murat Hakki
1 / 1 shared
Thakur, Nikhil
1 / 1 shared
Krzyzanowski, Michal
1 / 36 shared
Raju, Pathmeswaran
1 / 1 shared
Chart of publication period
2019
2018

Co-Authors (by relevance)

  • Martinez, Antonio
  • Scanlan, James P.
  • Griffiths, Valeriya
  • Eres, Murat Hakki
  • Thakur, Nikhil
  • Krzyzanowski, Michal
  • Raju, Pathmeswaran
OrganizationsLocationPeople

article

Cost-driven build orientation and bin packing of parts in Selective Laser Melting (SLM)

  • Martinez, Antonio
  • Scanlan, James P.
  • Griffiths, Valeriya
  • Chinchapatnam, Phani
  • Eres, Murat Hakki
Abstract

Selective Laser Melting (SLM) is an additive manufacturing process capable of producing mixed batches of parts simultaneously within a single build. The build orientation of a part in SLM is a key process parameter, affecting the build cost, time and quality, as well as batch size. Choosing an optimal arrangement of multiple heterogeneous parts inside the SLM machine also presents a challenging irregular bin packing problem. Since the two problems are interdependent, this paper addresses the combined problem of finding an optimal build orientation and two-dimensional irregular bin packing solution of a mixed batch of parts across identical SLM machines. We address this problem specifically in the context of low-volume high-variety (LVHV) production in the aerospace sector, using total build cost as the objective function. To solve this problem, we present an Iterative Tabu Search Procedure (ITSP), which consists of six distinct stages. We test each stage in the ITSP on 27 manually generated instances, based on 68 unique geometries ranging in convexity and size, including six real-life components from the aerospace industry. Two of the six stages, which are driven by support structure volume, returned the highest improvement in cost. Overall, the results showed an average cost improvement of 16.2% over the initial solution. The initial solution of the procedure was benchmarked against a commercial software, showing comparable results.

Topics
  • impedance spectroscopy
  • selective laser melting
  • two-dimensional