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)

  • 2024Optimization of Surface Finish of Plasma Metal Deposited Stainless Steel 316L Parts by Utilization of Plasma Beam Remelting (PBR) and Taguchi Methodologycitations
  • 2022Wire Arc Additive Manufacturing of Zinc as a Degradable Metallic Biomaterial10citations

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Chart of shared publication
V., Dr. Srinivasa Chari.
1 / 1 shared
Suresh, R.
1 / 18 shared
Chatterjee, Kaushik
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Suwas, Satyam
1 / 21 shared
Soni, Rishabh
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Gupta, Saurabh Kumar
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Chart of publication period
2024
2022

Co-Authors (by relevance)

  • V., Dr. Srinivasa Chari.
  • Suresh, R.
  • Chatterjee, Kaushik
  • Suwas, Satyam
  • Soni, Rishabh
  • Gupta, Saurabh Kumar
OrganizationsLocationPeople

article

Optimization of Surface Finish of Plasma Metal Deposited Stainless Steel 316L Parts by Utilization of Plasma Beam Remelting (PBR) and Taguchi Methodology

  • V., Dr. Srinivasa Chari.
  • Jhavar, Suyog
  • Suresh, R.
Abstract

<jats:p>The study aimed to optimize the Plasma Beam Polishing process for 316L stainless steel components to reduce anisotropy and poor surface roughness using statistical analysis. An experimental design investigated the impacts of managing factors on surface roughness, with scanning speed having the ultimate impact, followed by beam power and energy density. For lower values of plasma energy density and scanning speed, and a focal location without changes on the metal surface, there was a strong tendency for the estimated Ra to drop with increasing laser power. The process parameters were changed throughout a broad range of values, making it challenging to model the dependent variable across the whole range of experimental trials. The study supports the potential of PBP as a post-processing method for additive manufacturing components.</jats:p>

Topics
  • density
  • surface
  • energy density
  • stainless steel
  • additive manufacturing
  • polishing