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)

  • 2020Optimisation & minimisation of corrosion rate of electroless Ni-Co-P coating15citations
  • 2019Prediction and parametric optimization of surface roughness of electroless Ni-Co-P coating using Box-Behnken design14citations

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Chart of shared publication
Haider, Julfikar
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Sarkar, Subhasish
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Baranwal, Rishav Kumar
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Koley, Ishita
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Biswas, Chanchal
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Majumdar, Gautam
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Chart of publication period
2020
2019

Co-Authors (by relevance)

  • Haider, Julfikar
  • Sarkar, Subhasish
  • Baranwal, Rishav Kumar
  • Koley, Ishita
  • Biswas, Chanchal
  • Majumdar, Gautam
OrganizationsLocationPeople

article

Prediction and parametric optimization of surface roughness of electroless Ni-Co-P coating using Box-Behnken design

  • Mukherjee, Arghya
Abstract

<jats:title>Abstract</jats:title><jats:p>The current study focuses on the parametric optimization of electroless Ni-Co-P coating considering surface roughness as a response using Box-Behnken Design (BBD) of experiment. The two bath parameters namely the concentration of cobalt sulphate and sodium hypophosphite were varied along with the bath temperature to predict the variation in surface roughness. Analysis of variance (ANOVA) method has been applied to determine the interactions of the substantial factors which dominate the surface roughness of the coating. The process parameters for surface roughness of the coating were optimized by successfully utilizing the statistical model of Box-Behnken Design (BBD) of experiment. From the BBD model, the optimum condition for the deposition of the coating has been evaluated. In that specific condition, the surface roughness of the as-deposited coating is found to be 0.913μm. Scanning Electron Microscopy (SEM), Energy Dispersive X-ray Spectroscopy (EDX), and X-Ray Diffraction (XRD) study have been utilized to characterize the electroless Ni-Co-P coating deposited in optimized condition.</jats:p>

Topics
  • Deposition
  • impedance spectroscopy
  • surface
  • scanning electron microscopy
  • x-ray diffraction
  • experiment
  • Sodium
  • cobalt
  • Energy-dispersive X-ray spectroscopy