The Use of Power Spectrum Density for Surface Characterization of Thin Films

Mwema, Fredrick Madaraka; Akinlabi, Esther Titilayo; Oladijo, Oluseyi Philip

doi:10.1002/9781119580546.ch9

Cited by 27 publications

(27 citation statements)

References 26 publications

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“…Positive values of X indicate that the surfaces are dominated by the features of the high domain. In this case, all the connectivity values are positive indicating dominance of plateaus on all the surfaces [28,29]. However, as shown in Fig.…”

Section: Fractal Analysesmentioning

confidence: 89%

“…Surface roughness has also been shown to influence other properties such as tribology [7], wettability, transparency and hydrophobicity [8,9] and so many other physical and chemical characteristics of thin films as presented in literature [10,11]. As such, detailed characterisation of surface roughness is critical for quality control and optimisation of functionality of the thin films.…”

Section: Introduction mentioning

confidence: 99%

“…The surface roughness of thin films is influenced by various factors including the substrate type and deposition parameters [10]. The type of substrate has been reported to affect the nucleation, growth and distribution of morphology of thin films [16,17].…”

Section: Introduction mentioning

confidence: 99%

See 2 more Smart Citations

Effect of Substrate Type on the Fractal Characteristics of AFM Images of Sputtered Aluminium Thin Films

Mwema

Akinlabi

Oladijo

2019

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The roughness features of aluminum thin films deposited by radio-frequency magnetron sputtering on Ti6Al4V, stainless steel, mild steel and commercially pure titanium substrates are studied via atomic force microscopy. The average roughness, interface width, skewness, kurtosis, roughness exponent, equivalent roughness, lateral correlation length, fractal dimension and Minkowski functionals have been computed for each sample. It is shown that both topology and fractal characteristics of the Al thin films are greatly influenced by the type of metallic substrate on which it is sputtered. The fractal studies reveal that the fractal dimensions range between 2 and 3, indicating that all the surfaces are self-affine. The Minkowski functionals show that the valleys and plateaus for all the surfaces are highly disconnected since very small positive values of Euler-Poincaré are computed. The differences in roughness characteristics are superficial indication that substrate types affect the nucleation and growth of surface features such as grain sizes and particles during sputtering.

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Section: Fractal Analysesmentioning

confidence: 89%

Section: Introduction mentioning

confidence: 99%

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Effect of Substrate Type on the Fractal Characteristics of AFM Images of Sputtered Aluminium Thin Films

Mwema

Akinlabi

Oladijo

2019

Self Cite

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“…The power spectral density (PSD) was used to analyze the surface roughness of the plaques. PSD is a fractal method that is considered as one of the better characterization techniques of surface topography and has been used by different researchers [ 57 , 58 ]. A detailed discussion of PSD can be found in the references [ 59 , 60 ].…”

Section: Methodsmentioning

confidence: 99%

Finite Element Modelling and Experimental Validation of Scratches on Textured Polymer Surfaces

et al. 2021

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Surface texturing is a common modification method for altering the surface properties of a material. Predicting the response of a textured surface to scratching is significant in surface texturing and material design. In this study, scratches on a thermoplastic material with textured surface are simulated and experimentally tested. The effect of texture on scratch resistance, surface visual appearance, surface deformation and material damage are investigated. Bruise spot scratches on textured surfaces are found at low scratch forces (<3 N) and their size at different scratch forces is approximately the same. There is a critical point between the bruise spot damage and the texture pattern damage caused by continuous scratching. Scratch resistance coefficients and an indentation depth-force pattern are revealed for two textured surfaces. A texture named “Texture CB” exhibits high effectiveness in enhancing scratch visibility resistance and can increase the scratch resistance by more than 40% at low scratch forces. The simulation method and the analysis of the power spectral density of the textured surface enable an accurate prediction of scratches.

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“…Recent studies highlighted that 3-D surface topology/micromorphology of samples obtained from SEM and AFM micrographs can be characterized by stereometric analyses (Rezaee et al, 2020;Shakoury et al, 2020;Sobola et al, 2020; (Mwema, Akinlabi, & Oladijo, 2019) applied to the AFM data (Sobola, Ţ alu, Solaymani, & Grmela, 2017). In the literature it was observed that various scientific studies about surface texture, cutting edge phenomenon and tool wear in various conventional and advanced honing processes have been done (Ţ alu, 2015; Ţ alu, 2020).…”

mentioning

confidence: 99%

Surface texture and fractal analysis of cemented carbide cutting tools

Ţălu

Kulesza

Bramowicz

et al. 2021

Microscopy Res & Technique

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This work highlights the usefulness of multi-scale-fractal and surface-texture analysis in the machining of cemented carbide cutting edge by electrolytic-abrasive honing (EAH) process. In order to achieve this, a fresh (untreated) cutting edge sample and the same sample after machining by electrolytic-abrasive honing (treated) were studied upon their characteristics of surface texture and material properties to provide manufacturers a sustainable advantage in strengthening their tools. The surface characteristics of untreated and honed samples have been analyzed by evaluating four similar locations in the regions of each sample. Scanning electron microscopy (SEM) has been used for the characterization of materials surface. It was found that the unprepared cutting edge and the electrolytic-abrasive sharp surface regions of the samples could be distinguished by area scale analysis and surface texture characteristics. The present study will help in improving the life span estimation of the tools and highlight the opportunities for the statistical modeling of lubrication mechanisms between the tool and the workpiece.

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The Use of Power Spectrum Density for Surface Characterization of Thin Films

Cited by 27 publications

References 26 publications

Effect of Substrate Type on the Fractal Characteristics of AFM Images of Sputtered Aluminium Thin Films

Effect of Substrate Type on the Fractal Characteristics of AFM Images of Sputtered Aluminium Thin Films

Finite Element Modelling and Experimental Validation of Scratches on Textured Polymer Surfaces

Surface texture and fractal analysis of cemented carbide cutting tools

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