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IJAT Vol.13 No.2 pp. 261-269
doi: 10.20965/ijat.2019.p0261
(2019)

Paper:

Analysis and Characterization of Machined Surfaces with Aesthetic Functionality

Francesco Giuseppe Biondani*,†, Giuliano Bissacco*, Lukáš Pilný**, and Hans Nørgaard Hansen*

*Department of Mechanical Engineering, Technical University of Denmark
Produktionstorvet, Kgs. Lyngby 2800, Denmark

Corresponding author

**Novo Nordisk A/S, Hillerød, Denmark

Received:
July 3, 2018
Accepted:
December 5, 2018
Published:
March 5, 2019
Keywords:
scattered light sensor, surface appearance, machining
Abstract

The generation of fine machined surfaces with high gloss is an important topic in mould manufacturing. The surface gloss can be characterized by means of scattered light sensors and a representative parameter such as Aq. In this paper, in-line measurements of scattered light distribution are compared with roughness parameters calculated using a confocal microscope, in order to assess surface aesthetic quality. Several surfaces have been machined by means of high precision milling, producing different surface topographies. Surface characterization has been performed on a machine using a scattered light sensor, and using a confocal microscope in laboratory conditions. The calculated Aq parameter is compared with the amplitude roughness parameters Sa and Sq, and with hybrid parameters Sdq and Rdq representing the average slope of the surface features. Scanning electron microscope (SEM) images are used as visual benchmarks to identify the parameters’ correlation with the visual appearance. A different linear trend of the relationship between Aq, Rdq, and Sdq is observed. The description of the surface quality through Sa or Sq instead is found to be insufficient. This is explained by means of SEM pictures showing a dramatic influence of the smeared material over the machined surface.

Cite this article as:
F. Biondani, G. Bissacco, L. Pilný, and H. Hansen, “Analysis and Characterization of Machined Surfaces with Aesthetic Functionality,” Int. J. Automation Technol., Vol.13, No.2, pp. 261-269, 2019.
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Last updated on May. 22, 2019