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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Technical University of Denmark

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (8/8 displayed)

  • 2021On the role of the powder stream on the heat and fluid flow conditions during Directed Energy Deposition of maraging steel - Multiphysics modelling and experimental validation82citations
  • 2020Multi-metal additive manufacturing process chain for optical quality mold generation13citations
  • 2020Surface topography analysis of ball end milled tool steel surfaces5citations
  • 2018Additive Manufacturing of Mould Inserts with Mirror-like Surfaces7citations
  • 2018Comparison of selected processes for surface microstructuring of complex mould for an implanted device2citations
  • 2018Methodologies for characterization of smearing micro geometry on ball end milled tool steel surfacescitations
  • 2015Application of Functional Nano-Patterning to Polymer Medical Micro Implants4citations
  • 2015Application of Functional Nano-Patterning to Polymer Medical Micro Implants4citations

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Chart of shared publication
Bissacco, Giuliano
7 / 28 shared
Jafarzadeh, Sina
1 / 6 shared
Hattel, Jh
1 / 160 shared
Bayat, Mohamad
1 / 23 shared
Tiedje, Ns
1 / 60 shared
Thorborg, Jesper
1 / 26 shared
Nadimpalli, Venkata Karthik
1 / 35 shared
Pedersen, David Bue
1 / 81 shared
Mohanty, Sankhya
1 / 31 shared
Bissacco, G.
1 / 2 shared
Hansen, Hans Nørgaard
7 / 128 shared
Tang, P. T.
3 / 4 shared
Tang, Peter Torben
1 / 36 shared
Zhang, Yang
3 / 38 shared
Ravn, Christian
2 / 6 shared
Mischkot, Michael
2 / 9 shared
Chart of publication period
2021
2020
2018
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Co-Authors (by relevance)

  • Bissacco, Giuliano
  • Jafarzadeh, Sina
  • Hattel, Jh
  • Bayat, Mohamad
  • Tiedje, Ns
  • Thorborg, Jesper
  • Nadimpalli, Venkata Karthik
  • Pedersen, David Bue
  • Mohanty, Sankhya
  • Bissacco, G.
  • Hansen, Hans Nørgaard
  • Tang, P. T.
  • Tang, Peter Torben
  • Zhang, Yang
  • Ravn, Christian
  • Mischkot, Michael
OrganizationsLocationPeople

article

Surface topography analysis of ball end milled tool steel surfaces

  • Bissacco, Giuliano
  • Biondani, Francesco Giuseppe
  • Hansen, Hans Nørgaard
Abstract

Many mechanical components require mirror-like surface appearance. When the application concerns the manufacturing of steel dies and moulds, material removal processes are the preferential choice in order to achieve the wanted dimensions and surface topography. In particular, ball milling is used in all those cases that require the machining of free form surfaces. When mirror-like surface appearance is in focus in such components, the final machining operations consists in a very shallow cut. The theoretical surface roughness (kinematic surface topography) that can be achieved in a finishing operation by ball end milling is orders of magnitude below the actual surface roughness. Beside runout and machine tool positioning errors, the quality of the cutting tools is a key factor in determining the surface topography. The combination of shallow depth of cut together with the finite size of the cutting edge radius of the tool are responsible for the occurrence of material smearing phenomena. Smearing, consisting in the accumulation of plastically deformed material over the surface, is particularly detrimental for the aesthetic functionality of machined components because it is responsible of the "foggy" appearance. In order to minimize the occurrence of the smeared material it is necessary to have a good understanding of the causes of the smearing formation process. The aim of this paper is the description and quantification of the smearing phenomena for ball end milling operations. The location of the smeared material is determined through SEM image analysis and related with the direction of the cutting speed and milling strategy. Subsequently the volume of the smeared material is quantified through a combination of confocal microscopy and SEM image analysis. Based on the volumetric analysis of the smeared material a new method for determining the Minimum Uncut Chip Thickness for the material is proposed.

Topics
  • impedance spectroscopy
  • surface
  • scanning electron microscopy
  • milling
  • tool steel
  • ball milling
  • ball milling
  • confocal microscopy