A new wavelet filtering for analysis of fractal engineering surfaces

Bakucz, Peter; Krüger-Sehm, Rolf

doi:10.1016/j.wear.2008.04.078

Cited by 13 publications

(7 citation statements)

References 1 publication

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“…When the fiber direction was over 60 °, the surface quality was seriously deteriorated and difficult to measure. Bakucz and Kruger 47 had similar finding that the surface roughness was worst when machining at fiber direction of 150 °, and can be reached as high as 6–12 μm. Researchers also 48 found that the surface roughness values changed significantly using traditional roughness measurement.…”

Section: Study On the Machining Mechanism Of Frpmentioning

confidence: 79%

“…The surface of the metal materials is the reflection of the geometric shape of cutting tool. 47,48 It is cut out directly by cutting tool and the machined surface is uniform. By using two-dimensional measurement and evaluation method can basically meet the requirements of reflecting the actual surface characteristics.…”

Section: Study On the Machining Mechanism Of Frpmentioning

confidence: 99%

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A review on research progress of machining technologies of carbon fiber-reinforced polymer and aramid fiber-reinforced polymer

Shi

Cui

2019

Proceedings of the Institution of Mechanical Engineers, Part C:

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Since the application of fiber-reinforced polymer continues to expand, the demands of product quality for secondary cutting process are becoming increasingly higher to ensure the accurate coordination, connection, and assembly. There are some defects such as tearing, burr, delamination, and thermal damage after secondary cutting process, which limit the further applications of the materials. It is urgent to carry out comprehensive research on the secondary processing technology. In this paper, the fiber-reinforced composites' category, characteristics, and their applications were first described. Then the cutting performances, the causes of machining defects, and machining mechanisms have been analyzed. Finally, different compound processing methods, their characteristics, and applications have been elaborated. The most common forms of compound processing method including combined machining of cutting and grinding, ultrasonic vibration–assisted machining, and low-temperature–assisted machining have been covered in this paper. Results show that the compound processing method is the most effective way for improving the second processing quality of fiber-reinforced polymer. More machining mechanisms and applications of compound processing method need further experimental research. The barriers and future in the fields of research on machining of fiber-reinforced composites have been analyzed in this paper.

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Section: Study On the Machining Mechanism Of Frpmentioning

confidence: 79%

Section: Study On the Machining Mechanism Of Frpmentioning

confidence: 99%

A review on research progress of machining technologies of carbon fiber-reinforced polymer and aramid fiber-reinforced polymer

Shi

Cui

2019

Proceedings of the Institution of Mechanical Engineers, Part C:

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“…This effect acts in parallel with any direct chemical influence introduced by changes in the surface composition or changes in the titanium dioxide properties [41]. Different methods have been proposed to accommodate the length scale dependence of surface roughness parameters including wavelet filtering, fractal analysis [34,[42][43][44][45][46][47][48] and Fast Fourier Transform [22,23]. Variable length scale analysis is applicable both to fractal and non-fractal surfaces and the fractal dimension of a surface is commonly evaluated if applicable.…”

Section: Variable Length Scale Analysismentioning

confidence: 99%

Characterisation of Titanium Dental Implants I: Critical Assessment of Surface Roughness Parameters

Löberg¹,

Mattisson²,

Hansson³

et al. 2010

The Open Biomat J

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Titanium is commonly used for dental implants because of its unique ability to get incorporated into living bone. There is an ongoing development to obtain better anchorage and surface properties such as roughness and chemical composition are modified to reach this. In this study titanium dental implant surfaces were characterised by recording the topographical changes induced by each individual processing step such as cleaning, blasting, and HF etching. To fully describe the different surfaces, the same point was analysed before and after each step using Atomic Force Microscopy (AFM) and 3D-Scanning Electron Microscopy (3D-SEM). A set of 3D surface parameters were calculated as a function of filter size to describe the topographic features at different levels. The chemical treatment introduces nano-sized features while blasting changes the topography at the micrometer level and by combining AFM and 3D-SEM the entire range can be assessed. The results show that the chemically induced changes in the topography can only be revealed by AFM while 3D-SEM gives a clear description of the topography of blasted surfaces. The fractal dimension for the chemically treated surface was the same as for the blasted surfaces but crossover size was much smaller. Besides the commonly used S a parameter it is suggested that the root-mean-square of the surface slope (S dq ) and the void volume (V vc ) parameters are included in the characterisation of rough surfaces. These parameters can be used for correlation with in vivo performance.

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“…It is confirmed that many surfaces have a fractal geometry within a certain scale range [18]. Roughness measurements on processed surfaces show that rough surfaces are composed of both brownian and non-brownian spectra at various length scales [19].…”

Section: Mean Surface C Mean Surfacementioning

confidence: 65%

Approximating Spline filter: New Approach for Gaussian Filtering in Surface Metrology

Zhang¹,

Yang²

2009

IJIGSP

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Abstract-This paper presents a new spline filter named approximating spline filter for surface metrology. The purpose is to provide a new approach of Gaussian filter and evaluate the characteristics of an engineering surface more accurately and comprehensively. First, the configuration of approximating spline filter is investigated, which describes that this filter inherits all the merits of an ordinary spline filter e.g. no phase distortion and no end distortion. Then, the approximating coefficient selection is discussed, which specifies an important property of this filter-the convergence to Gaussian filter. The maximum approximation deviation between them can be controlled below , moreover, be decreased to less than 1% when cascaded. Since extended to 2 dimensional (2D) filter, the transmission deviation yields within − . It is proved that the approximating spline filter not only achieves the transmission characteristic of Gaussian filter, but also alleviates the end effect on a data sequence. The whole computational procedure is illustrated and applied to a work piece to acquire mean line whereas a simulated surface to mean surface. These experimental results indicate that this filtering algorithm for 11200 profile points and 2000 × 2000 form data, only spends 8ms and 2.3s respectively. 4.36%0.63% 1. 48% + Index Terms-surface metrology, profile filter, approximating spline filter, Gaussian filter, form filter

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A new wavelet filtering for analysis of fractal engineering surfaces

Cited by 13 publications

References 1 publication

A review on research progress of machining technologies of carbon fiber-reinforced polymer and aramid fiber-reinforced polymer

A review on research progress of machining technologies of carbon fiber-reinforced polymer and aramid fiber-reinforced polymer

Characterisation of Titanium Dental Implants I: Critical Assessment of Surface Roughness Parameters

Approximating Spline filter: New Approach for Gaussian Filtering in Surface Metrology

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