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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Wankhede, Dr. Vishal Ashok

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2022Density Prediction in Powder Bed Fusion Additive Manufacturing: Machine Learning-Based Techniques34citations
  • 2019Machinability Assessment in High Speed Turning of High Strength Temperature Resistant Superalloys6citations

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Grzelak, Krzysztof
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Kluczynski, Janusz
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Dobriyal, Aashutosh
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Łuszczek, Jakub
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2022
2019

Co-Authors (by relevance)

  • Grzelak, Krzysztof
  • Kluczynski, Janusz
  • Dobriyal, Aashutosh
  • Łuszczek, Jakub
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article

Machinability Assessment in High Speed Turning of High Strength Temperature Resistant Superalloys

  • Wankhede, Dr. Vishal Ashok
Abstract

<jats:p> The paper discusses the effect of cutting parameters and cutting tool material on chip compression ratio, cutting forces and surface roughness in turning of high strength temperature resistant superalloys (HSTR). The experiments were performed in dry cutting environment on precision CNC lathe with fixed depth of cut of 0.5[Formula: see text]mm. Analytical model is developed to determine chip segmentation frequency, shear angle and shear strain and it is correlated with the machining parameters. The machinability of the selected superalloys is assessed in terms of cutting force, chip compression ratio and surface roughness. It is found from the experimental analysis cutting force magnitude is less at higher cutting speed for all the superalloys. Chip compression ratio is found maximum in case of Inconel 718 due to precipitation hardening of alloy and followed by Inconel 600 and Inconel 800. The chip segmentation frequency is high at lower cutting speed for Inconel 600 due significant strain hardening. Serrated chips are produced during machining of three selected superalloys and it is found that serrated tooth spacing decreases with cutting speed. Shear plane angle increases on cutting speed increases which effect tool workpiece contact length during machining resulted thin, short and snarled chips was produced. From analytical modeling it shows that shear strain decreases with cutting speed which indicate that at higher cutting speed material deformed elastically than plastically. The effect of cutting tool material is observed on the surface roughness. The better surface finish is obtained with coated carbide inserts as compared to ceramic inserts for all the selected superalloys. However, Inconel 800 shows higher surface roughness due to combination of (Ni–Cr–Fe) alloying element which is responsible for carburization of surface layer during machining. </jats:p>

Topics
  • impedance spectroscopy
  • surface
  • experiment
  • laser emission spectroscopy
  • strength
  • carbide
  • precipitation
  • superalloy