https://www.fpl.fs.fed.us/documnts/pdf2011/fpl_2011_matuana001.pdf

Ultraviolet weathering of HDPE/wood-flour composites coextruded with a clear HDPE cap layer

Experimental–numerical studies of transverse impact response of adhesively bonded lap joints in composite structures

An experimental and analytical study of the mechanical behaviour of adhesively bonded joints for variable extension rates and temperatures

Impact rupture of structural adhesive joints under different stress combinations

This paper describes the establishment of an evaluation method for metal surface texture. The evaluation parameters used for surface texture were roughness, glossiness and color. Seven sample materials were studied: aluminum alloys (A2017, A5052), stainless steel (SUS304) and copper alloys (tough pitch copper C 1100, brass C2801, phosphor bronze C5191 and nickel silver C7541). The surfaces of all specimens were polished using waterproof abrasive papers. The correlation of the surface texture parameters for all specimens was investigated experimentally. The surface roughness of specimens was evaluated using the arithmetical mean roughness "Ra". The method for evaluating surface color was assessed by using CIELAB color space. The CIELAB color space is one of a uniform color space defined by CIE (Commission Internationale de l'Eclairage) in 1976. The results indicated that as surface roughness value "Ra" decreased, as the glossiness value "Gs(60°)" increased exponentially. The lightness value "L*" of the CIELAB color space decreased, as surface roughness value "Ra" decreased. Thus, the relationship between the lightness value "L*" and surface roughness value "Ra" showed an inverse correlation with the glossiness value "Gs(60°)" and surface roughness value "Ra". Moreover, the surface color showed that the blue hue increased, as the surface roughness value "Ra" decreased for all seven types of materials.

https://www.jstage.jst.go.jp/article/matertrans/45/4/45_4_1027/_pdf

Experimental relationships between surface roughness, glossiness and color of chromatic colored metals

A study and evaluation of the shear strength of adhesive layers subjected to impact loads

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 μm. 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.

/pdf/evaluation-method-of-surface-texture-by-surface-roughness-2da526reb0.pdf

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

In this paper, the eŠects of topography with diŠerent rough surfaces on glossiness are investigated experimentally in order to characterize a surface texture of an aluminum alloy A5052H34. The surface texture of aluminum alloy is determined by the glossiness and the three factors of surface roughness: arithmetical mean Ra, period of roughness proˆle and slopes of the roughness. The surface of sample used in the experiment has diŠerent rough surfaces due to diŠerent cutting process. The topography of sample was measured by using a mechanical stylus proˆlometry. The periodic of roughness was evaluated by mean width of the proˆle elements RSm. The experimental results showed that the glossiness slightly increased as Ra decreased. As glossiness increased, RSm decreased. These means that the surface with low amplitudes and short wavelengths of the roughness results in high glossiness values. Moreover, histogram of the re‰ection angle calculated roughness proˆle showed that the specular re‰ection values of glossiness decreased as the diŠuse re‰ection values increased. Thus the local slopes of the roughness correlate strongly with the glossiness. These results clearly veriˆed that the proposed method for evaluating the surface texture of aluminum alloy was eŠective. (Received October 2, 2002)

Effect of surface roughness on glossiness of a 5052 aluminum alloy

In this paper, we carried out an experimental research for establishing the evaluation of metal's surface texture by analysis of surface color. The materials of samples used in the experiment were aluminum alloys (A2017, A5052), stainless steel (SUS304) and copper alloy (nickel silver C7541). The surfaces of samples were burnished by use of waterproof abrasive papers. The surface roughness of samples evaluated by arithmetical mean Ra, root mean square slope RΔq and mean width of the profile elements RSm. The experimental results showed strong correlation for three different roughness parameters. Consequently, “Ra” was used as roughness parameter. As Ra decreased, the glossiness exponentially increased. The evaluation method of surface color was applied to CIELAB. The lightness L* in CIELAB decreased as Ra decreased. Thus, it showed that relationship between L* and Ra inverse correlation between glossiness and Ra. Moreover, surface color of four different materials showed that the chromaticness of blue increased as Ra decreased.

Koichiro Kihara

Papers

Experimental relationships between surface roughness, glossiness and color of chromatic colored metals

A study and evaluation of the shear strength of adhesive layers subjected to impact loads

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

Effect of surface roughness on glossiness of a 5052 aluminum alloy

Evaluation method of surface texture by the surface colors of aluminum alloys