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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Arif, Abul Fazal M.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2022A Physics-Based Computational Model for the Cold Spray Deposition of Composite Coatings1citations
  • 2022Design and Development of Novel α-SiAlON/Co and α-SiAlON/TiCN Composites for Cutting Tool Insertscitations

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Chart of shared publication
Akhtar, Syed Sohail
2 / 5 shared
Abubakar, Abba A.
2 / 5 shared
Al-Athel, Khaled S.
2 / 3 shared
Alotaibi, Amer D.
1 / 1 shared
Hakeem, Abbas S.
1 / 2 shared
Chart of publication period
2022

Co-Authors (by relevance)

  • Akhtar, Syed Sohail
  • Abubakar, Abba A.
  • Al-Athel, Khaled S.
  • Alotaibi, Amer D.
  • Hakeem, Abbas S.
OrganizationsLocationPeople

document

A Physics-Based Computational Model for the Cold Spray Deposition of Composite Coatings

  • Arif, Abul Fazal M.
  • Akhtar, Syed Sohail
  • Abubakar, Abba A.
  • Al-Athel, Khaled S.
Abstract

<jats:title>Abstract</jats:title><jats:p>Composite coatings with tailored properties can be effectively deposited with the cold spray process via careful control of deposition parameters. To avoid repetitive experiments, numerical models are commonly used to optimize the cold spray deposition process parameters. The present study proposes using a physics-based hybrid computational approach to model the cold spray deposition of Ni-Ti/Al2O3 composite coating used for wear applications. The method involves using point cloud (for the impacting particles) and finite elements (for the deformed splats structures and substrate) to simulate dissimilar particles impact and interactions, plastic deformation, and temperature rise. The approach is computationally efficient and adequately captures the thermo-mechanical deformation resulting from the interactions among dissimilar particles. The simulations are carried out for various combinations of material types, particles sizes and shapes, and impacting velocities. The results from the simulations are analyzed and validated by comparing them with that of previous works. The plastic deformation and temperature rise within the mating bodies increase with increasing particles’ kinetic energies. The Ni-Ti-Al2O3 powder particles lead to higher plastic deformation, temperature rise, and inter-particle bonding due to the presence of the hard Al2O3 particles. The temperature does not rise above melting; however, recrystallization of coating microstructure becomes possible even at a low deposition rate.</jats:p>

Topics
  • Deposition
  • impedance spectroscopy
  • microstructure
  • polymer
  • experiment
  • simulation
  • composite
  • recrystallization