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)

  • 2017Preliminary Investigation on Life Cycle Inventory of Powder Bed Fusion of Stainless Steel7citations
  • 2015Overview of Sustainability Studies of CNC Machining and LAM of Stainless Steel33citations

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Chart of shared publication
Piili, Heidi
2 / 26 shared
Nyamekye, Patricia
2 / 6 shared
Salminen, Antti
2 / 44 shared
Chart of publication period
2017
2015

Co-Authors (by relevance)

  • Piili, Heidi
  • Nyamekye, Patricia
  • Salminen, Antti
OrganizationsLocationPeople

article

Overview of Sustainability Studies of CNC Machining and LAM of Stainless Steel

  • Piili, Heidi
  • Nyamekye, Patricia
  • Leino, Maija
  • Salminen, Antti
Abstract

aser additive manufacturing (LAM), known also as 3D printing, is a powder bed fusion (PBF) type of additive manufacturing (AM) technology used to fabricate metal parts out of metal powder. The development of the technology from building prototype parts to functional parts has increased remarkably in 2000s. LAM of metals is promising technology that offers new opportunities to manufacturing and to resource efficiency. However, there is only few published articles about its sustainability. Aim in this study was to create supply chain model of LAM and CNC machining and create a methodology to carry out a life cycle inventory (LCI) data collection for these techniques. The methodology of the study was literature review and scenario modeling. The acquisition of raw material, production phase and transportations were used as basis of comparison. The modelled scenarios were fictitious and created for industries, like aviation and healthcare that often require swift delivery as well as customized parts. The results of this study showed that the use of LAM offers a possibility to reduce downtime in supply chains of spare parts and reduce part inventory more effectively than CNC machining. Also the gap between customers and business is possible to be shortened with LAM thus offering a possibility to reduce emissions due to less transportation. The results also indicated weight reduction possibility with LAM due to optimized part geometry which allow lesser amount of metallic powder to be used in making parts.

Topics
  • impedance spectroscopy
  • stainless steel
  • phase
  • laser emission spectroscopy
  • powder bed fusion