Evaluation Method of Surface Texture by Surface Roughness based on Geometrical Product Specifications (GPS)

Abstract

This paper describes a quantitative evaluation method for metal surface texture. We used surface roughness and glossiness as parameters to describe surface texture. Specimen surface roughness was evaluated based on geometrical product specification data taken from japanese industrial standards. The effects of surface roughness on glossiness were investigated by aluminum alloys. The relationship between the glossiness and the roughness height, the period of the roughness profile and the slope for the surface roughness processed by a vertical milling machine were studied for determining if the topography of the surface roughness affects the glossiness. The surface of the specimens were polished using abrasive paper and blasted, so that the arithmetical mean deviation, Ra, was less than 1.00 mm. The effects of roughness on glossiness were investigated on polished surfaces and blasted surfaces. The results show that the surface roughness shape and the glossiness prove to be effective indices for evaluating the surface textures of aluminum alloys.

CO2 laser polishing of laser-powder bed fusion produced AlSi10Mg parts

“…The root mean square slope of the primary profiles, Pdq, was calculated in order to evaluate the steepness of the surface [40,41]. According to literature [42], this parameter is related to the smoothness and brilliance of a surface. Moreover, in the specific context of this work, Pdq could represent a further useful indicator of the smoothing mechanisms in relation to the specific surface texture investigated for the as-built samples.…”

Traceable functional characterization of surface topography with angular-resolved scattering light measurement

“…Within a light spot, the incident light is reflected. The reflectance angles correlate with the surface roughness parameters describing the local surface angle distribution within the beam spot [22]. The light passes the objective lens and is imaged onto a detector.…”

Effect of Surface Roughness on Haze and Glossiness Values of an Acrylic Plate Surface

“…多く含まれている 2) 。従来のテクスチャに関する研究では，感 覚量による評価がほとんどであり 3-5) ，定量的な評価の多くは， 物理的に凹凸形状を評価している 6-10) 。著者らはこれまでに表 面性状を定量的に伝達する際の評価指標として，表面粗さ，光 沢度および表面色の3因子を組み合わせた評価指標を提案して いる [11][12][13][14][15][16][17][18][19][20][21][22][23] (9)…”