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 (2/2 displayed)

  • 2017Simulation Studies of Turning of Aluminium Cast Alloy Using PCD Tools9citations
  • 2017Comparison Between Cemented Carbide and PCD Tools on Machinability of a High Silicon Aluminum Alloy19citations

Places of action

Chart of shared publication
Silva, Tfd
1 / 1 shared
Jesus, Amp
1 / 10 shared
Reis, A.
2 / 20 shared
Rosa, Par
2 / 6 shared
Neto, Rjl
1 / 4 shared
Chirita, B.
1 / 1 shared
De Jesus, Amp
1 / 92 shared
Chart of publication period
2017

Co-Authors (by relevance)

  • Silva, Tfd
  • Jesus, Amp
  • Reis, A.
  • Rosa, Par
  • Neto, Rjl
  • Chirita, B.
  • De Jesus, Amp
OrganizationsLocationPeople

document

Simulation Studies of Turning of Aluminium Cast Alloy Using PCD Tools

  • Silva, Tfd
  • Soares, Rb
  • Jesus, Amp
  • Reis, A.
  • Rosa, Par
Abstract

This study investigates the influence of cutting parameters on longitudinal turning of high Silicon cast aluminium alloy AlSi9Cu3 using PCD tools with and without chip breaker geometry. In order to build the 3D numerical model, the experimental and predicted cutting forces were used for inverse calibration of the Johnson-Cook material model which was implemented in DEFORMTM finite element software. A sensitivity analysis has been performed in order to obtain an acceptable prediction of the machining parameters such as chip geometry and cutting forces as well as to understand the influence of friction and mesh size effects in the predicted results. Results have shown a satisfactory correlation between experimental turning data and numerical estimates based on assumptions that have been taken for the material behaviour. © 2017 The Authors.

Topics
  • simulation
  • aluminium
  • Silicon
  • aluminum cast alloy