Investigation of Tooling for Anisotropic Optical Functional Surfaces

Publication: Research - peer-reviewConference abstract for conference – Annual report year: 2017

Documents

View graph of relations

This paper studied steel inserts with anisotropic surfaces for injection moulding. The inserts surfaces were machined by a five-axis micro-milling machine and the surface structures will be replicated by injection moulding. The aim of the surface structuring is to maximize visible contrast between horizontally orthogonal textured surfaces from a certain viewing angle, of both the insert and the polymer replicas. The contrast is defined by the difference of the reflectance between two areas with horizontally orthogonal textures under a certainly fixed light source. The brightness of the surface is assessed by processing the images obtained from a digital microscope Hirox RH-2000 [1]. Figure 1 illustrates the studied surface structure and the microscope. The optical axis of microscope can be tilted within 90 degrees from the horizontal level, which simulates the viewing angle; the analysed surface texture can be rotated horizontally by the adjusting the stage so only one surface was used to achieve orthogonal textures and images at different rotation angle can be captured. Via image processing tool, the reflectance (brightness of the obtained images) will be analysed and therefore the contrast can be calculated.
Original languageEnglish
Publication date2017
Number of pages1
StatePublished - 2017
Event16th International Conference on Metrology and Properties of Engineering Surfaces (Met&Props 2017) - Gothenburg, Sweden

Conference

Conference16th International Conference on Metrology and Properties of Engineering Surfaces (Met&Props 2017)
CountrySweden
CityGothenburg
Period27/06/201729/06/2017

    Keywords

  • Anisotropic surface, Surface characterization, Digital microscope, Design of experiment, Milling process optimization, Tool wear
Download as:
Download as PDF
Select render style:
APAAuthorCBE/CSEHarvardMLAStandardVancouverShortLong
PDF
Download as HTML
Select render style:
APAAuthorCBE/CSEHarvardMLAStandardVancouverShortLong
HTML
Download as Word
Select render style:
APAAuthorCBE/CSEHarvardMLAStandardVancouverShortLong
Word

Download statistics

No data available

ID: 134709274