Generation and Assessment of Random Surface Texture over a Wide Area

Kobayashi, Yoshikazu; Shirai, Kenji; Hara, Yasuhiko; Mizoguchi, Tomohiro; Kawasaki, Kiyotaka

doi:10.20965/ijat.2011.p0185

Cited by 4 publications

(2 citation statements)

References 4 publications

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“…Within the trend of "Industry 4.0" [1], more and more quality control operations are shifting from off-line to inline applications. On a machine, data collection significantly decreases the response time in which information is made available, allowing the implementation of realtime strategies for optimizing the process itself [2], and increasing the overall efficiency and precision of the process [3].…”

Section: Introductionmentioning

confidence: 99%

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Analysis and Characterization of Machined Surfaces with Aesthetic Functionality

Biondani¹,

Bissacco²,

Pilný³

et al. 2019

IJAT

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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 asAq. 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 calculatedAqparameter is compared with the amplitude roughness parametersSaandSq, and with hybrid parametersSdqandRdqrepresenting 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 betweenAq,Rdq, andSdqis observed. The description of the surface quality throughSaorSqinstead 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.

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Section: Introductionmentioning

confidence: 99%

“…Nanometer-scale surface texture and micrometer-scale waviness are known to improve the aesthetic quality of machined parts [2,6].…”

Section: Introductionmentioning

confidence: 99%

Analysis and Characterization of Machined Surfaces with Aesthetic Functionality

Biondani¹,

Bissacco²,

Pilný³

et al. 2019

IJAT

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Generation of Uniformly Aligned Dimples on a Curved Surface Using a Curved-Surface, Patch-Division Milling Technique

Xu¹,

Sasahara²

2016

Int. J. Automation Technol.

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Many products are designed with surface textures that enhance the aesthetic and tactile qualities of the product. In this paper, a curved-surface, patch-division milling technique is proposed for creating uniform aligned cutter marks on a curved surface. Previous research demonstrated a ball-end milling technique that divides the surface into small planar patches where each patch is generated by a helical tool path with dimples in uniform alignment. Because the patches are planar, it is impossible to precisely machine a concave or convex surface. However, the technique could only approximate a method for machining curved surfaces. To resolve this issue, curved surface patches were developed to generate the patch directly according to the shape of the targeted curved surface. The dimples are expected to be uniformly aligned on curvedsurface patches. Therefore, the targeted surface should be cut using an appropriate machining condition. According to the test results, the distribution of dimples was the same as the pre-determined distribution. In addition, the dimples were regularly aligned when viewed from a specific angle. This proposed method overcomes the deviation of the dimple's positions, which is caused by the acceleration--deceleration of the machine tool and the change of the cutting point during five-axis machining.

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On-Machine Surface Texture Measuring System Using Laser Speckle Pattern Analysis

Shimizu¹,

Sawano²,

Yoshioka³

et al. 2016

Int. J. Automation Technol.

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Functional surfaces are expected technologies in various industries. However, the efficient generation of microscale surface structures is difficult because the process relies on precision surface texture assessments, which require long measuring times. An on-machine measuring system may solve this issue. In this study, a new on-machine surface texture measuring system based on laser speckle pattern analysis is proposed. The proposed system efficiently assesses various qualities of the surface texture, such as surface roughness, undulation of microscale surface structures, and anisotropy, from a laser speckle pattern obtained from the precision-machined surface. For precise measurements, disturbances caused by the machining system itself and the environment must be avoided. The laser speckle detection unit in the proposed system is supported by non-contact active vibration-isolation units, which reduce the transmission of ground vibrations. From the experimental results, the system indicated high repeatability in measurements and robustness against disturbances.

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Generation and Assessment of Random Surface Texture over a Wide Area

Cited by 4 publications

References 4 publications

Analysis and Characterization of Machined Surfaces with Aesthetic Functionality

Analysis and Characterization of Machined Surfaces with Aesthetic Functionality

Generation of Uniformly Aligned Dimples on a Curved Surface Using a Curved-Surface, Patch-Division Milling Technique

On-Machine Surface Texture Measuring System Using Laser Speckle Pattern Analysis

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