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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2023Prediction of age-hardening behaviour of LM4 and its composites using artificial neural networks2citations
  • 2022OPTIMIZATION AND PREDICTION OF THE HARDNESS BEHAVIOUR OF LM4 + SI3N4 COMPOSITES USING RSM AND ANN - A COMPARATIVE STUDY3citations
  • 2022Optimization of preheating temperature for TiB<sub>2</sub> reinforcement on the preparation of stir cast LM4 + TiB<sub>2</sub> composites and effect of artificial aging on hardness improvement using ANOVA3citations

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Chart of shared publication
Sharma, Sathya Shankara
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Gowrishankar, M. C.
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Shettar, Manjunath
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Karthik, B. M.
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Sharma, Sathyashankara
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Nayak, Rajesh
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C., Gowrishankar M.
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Kumar, Nitesh
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Gurumurthy, Bethur Markunti
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Deepak, Doreswamy
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Gowrishankar, Mandya Chennegowda
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2023
2022

Co-Authors (by relevance)

  • Sharma, Sathya Shankara
  • Gowrishankar, M. C.
  • Shettar, Manjunath
  • Karthik, B. M.
  • Sharma, Sathyashankara
  • Nayak, Rajesh
  • C., Gowrishankar M.
  • Kumar, Nitesh
  • Gurumurthy, Bethur Markunti
  • Deepak, Doreswamy
  • Gowrishankar, Mandya Chennegowda
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article

Optimization of preheating temperature for TiB<sub>2</sub> reinforcement on the preparation of stir cast LM4 + TiB<sub>2</sub> composites and effect of artificial aging on hardness improvement using ANOVA

  • Gurumurthy, Bethur Markunti
  • Sharma, Sathyashankara
  • Deepak, Doreswamy
  • Doddapaneni, Srinivas
  • Gowrishankar, Mandya Chennegowda
Abstract

<jats:p>This work emphasizes the optimization of preheating temperature of TiB<jats:sub>2</jats:sub> reinforcement powder with LM4 composites, and statistical analysis for predicting hardness improvement during aging treatment using ANOVA, are illustrated in this article. A two-stage stir casting procedure was used to fabricate LM4 + TiB<jats:sub>2</jats:sub> (1, 2 and 3 wt.%) composites. The impact of preheating TiB<jats:sub>2</jats:sub> reinforcement powder at various temperatures such as 600, 500, 450, 350 and 250 °C, to attain uniform distribution of reinforcements in the matrix was studied. Optical microstructure analysis clearly shows that the optimum preheating temperature of TiB<jats:sub>2</jats:sub> powder for effective preparation of composites is 350 °C for 30 min without agglomeration of reinforcement particles. After successful preparation of composites, the as-cast samples were subjected to single-stage and multistage solutionizing treatments and then artificially aged at 100 and 200 °C to obtain peak hardness. Micro Vickers Hardness test was done to calculate the hardness of both age hardened LM4 alloy and its composites and results were analyzed. An increase in wt.% of TiB<jats:sub>2</jats:sub> (1–3%), the hardness of composites increased, and multistage solutionizing treatment followed by artificial aging at 100 °C was proven to achieve the highest peak hardness value for LM4 + 3 wt.% TiB<jats:sub>2</jats:sub> composites. Compared to as-cast LM4 alloy, 80–150% increase in hardness was observed when aged at 100 °C and 65–120% increase in hardness was observed at 200 °C during SSHT and MSHT, respectively. ANOVA was performed with wt.%, solutionizing type, aging temperatures as factors, and peak hardness as the outcome. From the results, it can confirm that all three factors contributed effectively for achieving the peak hardness. <jats:italic>R</jats:italic><jats:sup>2</jats:sup> value validates that the factors account for 100% of the variance in the hardness results.</jats:p>

Topics
  • impedance spectroscopy
  • microstructure
  • composite
  • hardness
  • casting
  • aging
  • aging