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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Alam, Mohammad Azad

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2024Impact response of filament-wound structure with polymeric liner: Experimental and numerical investigation (Part-A)13citations
  • 2023Advancements in aluminum matrix composites reinforced with carbides and graphene: A comprehensive review36citations
  • 2022Artificial Neural Network Modeling to Predict the Effect of Milling Time and TiC Content on the Crystallite Size and Lattice Strain of Al7075-TiC Composites Fabricated by Powder Metallurgy16citations

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Co-Authors (by relevance)

  • Azeem, Mohammad
  • Kumar, Mukesh
  • Salit, M. Sapuan
  • Ya, Hamdan
  • Maziz, Ammar
  • Ismail, Ahmad Rasdan
  • Muhammad, Masdi
  • Gemi, Lokman
  • Khan, Sanan
  • Yusuf, Mohammad
  • Mustapha, Mazli
  • Marode, Roshan Vijay
  • Sapuan, Salit Mohd
  • Ansari, Akhter Husain
  • Ya, Hamdan B.
  • Masood, Faisal
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article

Artificial Neural Network Modeling to Predict the Effect of Milling Time and TiC Content on the Crystallite Size and Lattice Strain of Al7075-TiC Composites Fabricated by Powder Metallurgy

  • Alam, Mohammad Azad
Abstract

<jats:p>In the study, Al7075-TiC composites were synthesized by using a novel dual step blending process followed by cold pressing and sintering. The effect of ball milling time on the microstructure of the synthesized composite powder was characterized using X-ray diffraction measurements (XRD), scanning electron microscopy (SEM), energy dispersive spectroscopy (EDS), and transmission electron microscopy (TEM). Subsequently, the integrated effects of the two-stage mechanical alloying process were investigated on the crystallite size and lattice strain. The crystallite size and lattice strain of blended samples were calculated using the Scherrer method. The prediction of the crystallite size and lattice strain of synthesized composite powders was conducted by an artificial neural network technique. The results of the mixed powder revealed that the particle size and crystallite size improved with increasing milling time. The particle size of the 3 h-milled composites was 463 nm, and it reduces to 225 nm after 7 h of milling time. The microhardness of the produced composites was significantly improved with milling time. Furthermore, an artificial neuron network (ANN) model was developed to predict the crystallite size and lattice strain of the synthesized composites. The ANN model provides an accurate model for the prediction of lattice parameters of the composites.</jats:p>

Topics
  • microstructure
  • scanning electron microscopy
  • x-ray diffraction
  • milling
  • composite
  • transmission electron microscopy
  • Energy-dispersive X-ray spectroscopy
  • ball milling
  • ball milling
  • sintering