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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Allazadeh, Mohammad Reza

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University of Strathclyde

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (18/18 displayed)

  • 2023Superplastic forming of 1050 aluminium alloycitations
  • 2020Computing strain rate sensitivity of aluminium alloy 1050citations
  • 2018Studying the effect of hydroxyapatite particles in osteoconductivity of Ti-HA bioceramic19citations
  • 2018Analysing the effect of strain rate and temperature on the flow stress in AA1050 sheet using E-2448 standardcitations
  • 2018Suggesting a full two level experimental factorial model with three factors to optimize Ti-HA biocomposite propertiescitations
  • 2017Manufacture of a four-sheet complex component from different titanium alloys by superplastic formingcitations
  • 2017Application of superplastic forming in manufacture four-sheet sandwich panel sheetstockcitations
  • 2015Formation of defects in the steel microstructure during solidification and their effects on the steel materialcitations
  • 2015Application of milling in synthesizing nanostructured metal matrix composite powder1citations
  • 2013Reinforced aluminum matrix composite application in friction material2citations
  • 2012Cooling rate optimization of as-cast consciously cast steelcitations
  • 2012High strain rate compressive tests on wood19citations
  • 2011High strain rate compressive tests on woven graphite epoxy composites6citations
  • 2011FEM technique to study residual stresses developed in continuously cast steel during solid-solid phase transformation9citations
  • 2010Cooling Rate Optimization for Quenching As-Cast Steel in Industrycitations
  • 2010Stresses introduced during cooling the as-cast steel slabcitations
  • 2009Using Small Specimens Technique in Nuclear Pressure Vessel Surveycitations
  • 2009The Effect of Cooling Rate on the Microstructure Configuration of Continuously Cast Steel Slabscitations

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Borhani, Ehsan
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Khodadad, Erfan
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Bovand, Davood
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Rasouli, Susan
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Bovand, D.
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Yousefpour, M.
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Rasouli, S.
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Zuelli, Nicola
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Balazsi, Csaba
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Balazsi, C.
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Wosu, S. N.
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Wosu, Sylvanus N.
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Garcia, C. I.
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Co-Authors (by relevance)

  • Borhani, Ehsan
  • Khodadad, Erfan
  • Bovand, Davood
  • Rasouli, Susan
  • Bovand, D.
  • Yousefpour, M.
  • Rasouli, S.
  • Zuelli, Nicola
  • Balazsi, Csaba
  • Balazsi, C.
  • Wosu, S. N.
  • Wosu, Sylvanus N.
  • Garcia, C. I.
OrganizationsLocationPeople

article

Cooling rate optimization of as-cast consciously cast steel

  • Allazadeh, Mohammad Reza
Abstract

<p>Combination of a finite element method (FEM) algorithm with ANSYS codes and post image processing of NDT ultrasonic images along with laboratory cooling experiments and microstructural analysis provides a guideline to determine the optimum cooling rate for any grade of steel in which the highest productivity can be achieved without any degradation of the cast steel products. The suggested FEM algorithm with ANSYS codes is introduced to develop a quasi real models to simulate quenching of as-cast steel with any cooling rate from any initial temperature below steel's melting point. The algorithm builds a model which is capable to approximate the thermodynamic stresses generated by thermal strain and possible solid-solid phase transformation for as-cast steel with any chemical composition. The model is applicable for any casting geometry (slab, billet and bloom, bar, etc.) and adaptable for any method of cooling (unidirectional or multidirectional). Cooling with any cooling agent can be simulated with the algorithm in an ideal case. The phase transformation of the steel in the algorithm can be controlled by Continuous Cooling Transformation (CCT) Diagram obtained from analytical calculation or real time-temperature transformation experiments for the cast steel. A function for optimizing cooling rate is suggested.</p>

Topics
  • impedance spectroscopy
  • phase
  • experiment
  • steel
  • chemical composition
  • ultrasonic
  • casting
  • quenching
  • cast steel