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)

  • 2024Computational and Experimental Evaluation of Thermoelectric Generator for Waste Heat Recovery in Internal Combustion Engine Applicationscitations
  • 2019Effect of additions of phosphorous, boron, and silicon on the structure and magnetic properties of the melt-spun FePd ribbons3citations
  • 2012Ultrahard magnetic nanostructures13citations

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Chart of shared publication
Chakravarty, P.
1 / 2 shared
Atekov, Parahat
1 / 1 shared
Chelladorai, Prabhu
1 / 1 shared
Balakrishnan, Navaneetha Krishnan
1 / 1 shared
Naresh, G.
1 / 1 shared
Gaviko, V. S.
1 / 3 shared
Popov, A. G.
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Protasov, A. V.
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Golovnia, O. A.
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Vlasova, N. I.
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Franchin, Matteo
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Skomski, R.
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Hadjipanayis, G. C.
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Fangohr, Hans
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Manchanda, P.
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Sahota, P. K.
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Liu, Y.
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Zhang, P.
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Sellmyer, D. J.
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2019
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Co-Authors (by relevance)

  • Chakravarty, P.
  • Atekov, Parahat
  • Chelladorai, Prabhu
  • Balakrishnan, Navaneetha Krishnan
  • Naresh, G.
  • Gaviko, V. S.
  • Popov, A. G.
  • Protasov, A. V.
  • Golovnia, O. A.
  • Vlasova, N. I.
  • Franchin, Matteo
  • Skomski, R.
  • Hadjipanayis, G. C.
  • Fangohr, Hans
  • Manchanda, P.
  • Sahota, P. K.
  • Liu, Y.
  • Zhang, P.
  • Sellmyer, D. J.
OrganizationsLocationPeople

article

Computational and Experimental Evaluation of Thermoelectric Generator for Waste Heat Recovery in Internal Combustion Engine Applications

  • Chakravarty, P.
  • Atekov, Parahat
  • Chelladorai, Prabhu
  • Balakrishnan, Navaneetha Krishnan
  • Naresh, G.
  • Kashyap, A.
Abstract

<jats:p>&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Much of the thermal energy derived from combustion of fuel is lost throughexhaust gases. By effectively recovering waste heat energy in the form ofelectricity, it can be used to recharge batteries or power auxiliary systemsthus improving both performance and fuel economy. In this work, the use ofthermoelectric generators (TEG) for energy recovery were studied using bothcomputational and experimental strategies. The efficiency of TEG(Ƞ&lt;sub&gt;TEG&lt;/sub&gt;) was analyzed through computational methods by changingtemperature gradients, Seebeck coefficient (α), and dimensions of the P- andN-type plates individually. The results of computational analysis showed that incomparison to vertical and planar configuration, mixed-type thermocoupledelivered 83.3% and 96% more power, respectively. Raising the α, enhanced theȠ&lt;sub&gt;TEG&lt;/sub&gt; by 57% and lowering α affected the Ƞ&lt;sub&gt;TEG&lt;/sub&gt; by 9.5%for mixed thermocouples. A marginal development in the Ƞ&lt;sub&gt;TEG&lt;/sub&gt; wasachieved by increasing the length of the P- and N-type semiconductors butdecreasing the length improved Ƞ&lt;sub&gt;TEG&lt;/sub&gt; by more than 95%. In theexperimental approach, the Ƞ&lt;sub&gt;TEG&lt;/sub&gt; of a Peltier module-based TEG wasstudied under static and dynamic testing conditions on a motorcycle byconnecting more than one module in series and parallel, respectively. Theaverage power generated over a range of engine speeds was 10.9 W and 10.6 W forseries and parallel configurations, respectively, under static test conditions.The average power obtained with dynamic tests was 10.5 W and 12.2 W for seriesand parallel configurations, respectively.&lt;/div&gt;&lt;/div&gt;</jats:p>

Topics
  • impedance spectroscopy
  • combustion
  • n-type semiconductor