The anti-fingerprint properties of a range of surfaces produced with different technologies (In Mould Decoration, In Mould Labeling and Painted) were objectively evaluated by depositing on them in standard conditions an artificial fingerprint for direct determination of its visibility. The artificial fingerprint behaves similarly to the real human fingerprints. A classification method is then proposed to classify surfaces on the base of anti-fingerprint properties by measuring the roughness profile (Ra) and calculating the % variation of Gloss (GU 20 & 60°), Haze, Luminance (L) and diffuse Reflectance (R) values after fingerprint deposition. This approach provides an objective and quantitative test method to determine visual anti-fingerprint properties of coated surfaces, instead of the “easy to clean” properties commonly evaluated. The data acquired provides a design guideline for fabricating visually fingerprint-free surfaces by controlling roughness, texture, color and transparency of surfaces, with the aim of optically masking fingerprints.

Evaluation Of Anti-Fingerprint Properties Of Plastic Surfaces Used In Automotive Components

M. P. Luda;PAU, VALENTINA
2018-01-01

Abstract

The anti-fingerprint properties of a range of surfaces produced with different technologies (In Mould Decoration, In Mould Labeling and Painted) were objectively evaluated by depositing on them in standard conditions an artificial fingerprint for direct determination of its visibility. The artificial fingerprint behaves similarly to the real human fingerprints. A classification method is then proposed to classify surfaces on the base of anti-fingerprint properties by measuring the roughness profile (Ra) and calculating the % variation of Gloss (GU 20 & 60°), Haze, Luminance (L) and diffuse Reflectance (R) values after fingerprint deposition. This approach provides an objective and quantitative test method to determine visual anti-fingerprint properties of coated surfaces, instead of the “easy to clean” properties commonly evaluated. The data acquired provides a design guideline for fabricating visually fingerprint-free surfaces by controlling roughness, texture, color and transparency of surfaces, with the aim of optically masking fingerprints.
2018
2018
article n 1895683
1
11
https://doi.org/10.1155/2018/1895683
Anti-fingerprint, artificial fingerprint, Roughness, Glossy, Reflectance, Contact angle
M. P. Luda, N. Li Pira, D. Trevisan, V. Pau
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1692445
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