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 (3/3 displayed)

  • 2015Application of Response Surface Methodology for Modeling the effect of alloying elements on Mechanical Properties of Structural Steelcitations
  • 2015Application of Response Surface Methodology forcitations
  • 2014Forward and Reverse Process Models for the Squeeze Casting Process Using Neural Network Based Approachescitations

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Bhatt, Abhinay
2 / 2 shared
Chandrashekarappa, Manjunath Patel Gowdru
1 / 10 shared
Krishna, Prasad
1 / 1 shared
Chart of publication period
2015
2014

Co-Authors (by relevance)

  • Bhatt, Abhinay
  • Chandrashekarappa, Manjunath Patel Gowdru
  • Krishna, Prasad
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article

Application of Response Surface Methodology for Modeling the effect of alloying elements on Mechanical Properties of Structural Steel

  • Parappagoudar, Mahesh
  • Bhatt, Abhinay
Abstract

In the present paper an attempt has been made to establish the non-linear input-output relationships to model mechanical properties of structural steel with the help of Response Surface Methodology. Central composite design is utilized to conduct the experiments. Further, surface plots have been developed for response namely Yield strength, Ultimate tensile strength and Elongation. The experiments have been conducted as per central composite design where all process variables are set at three levels. The surface plots showed that alloying elements Manganese, Silicon and Carbon have positive contribution towards both responses Ultimate tensile strength and Yield strength. Moreover, analysis of variance test has been conducted to determine the statistical adequacies of the developed models. The alloying elements Carbon and Manganese showed more contribution as compared to Silicon. It is to be noted that all the three alloying elements are found to have negative contribution towards the response- Elongation. The developed nonlinear regression models for the responses Yield strength, ultimate tensile strength and elongation have been tested for their prediction accuracy with the help of test cases. The present work is found to be useful to control the mechanical properties of structural steel by varying the major alloying elements. Moreover, most of the surface plots have shown a linear relation with the responses.

Topics
  • impedance spectroscopy
  • surface
  • Carbon
  • experiment
  • strength
  • composite
  • Silicon
  • yield strength
  • tensile strength
  • Manganese
  • structural steel