Differentiation of the surface topographies of pharmaceutical excipient compacts

Narayan, Padma; Hancock, Bruno C.; Hamel, Rebecca A.; Bergstrom, Torbjorn S.; Childs, Benjamin E.; Brown, Christopher

doi:10.1016/j.msea.2006.05.135

Cited by 19 publications

(11 citation statements)

References 17 publications

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“…Surface roughness parameters are very important for surface study (Nowicki, ). However, the evaluation length value of the profile has a crucial effect on the roughness parameter (Scott et al ., ; Jordan and Brown, ; Narayan et al ., ; Bigerelle et al ., ), and different evaluation lengths will give different roughness parameters. The initial roughness profiles are experimentally measured for a given length.…”

Section: Methodsmentioning

confidence: 98%

Effect of surface roughness in the determination of the mechanical properties of material using nanoindentation test

et al. 2013

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A quantitative model is proposed for the estimation of macro-hardness using nanoindentation tests. It decreases the effect of errors related to the non-reproducibility of the nanoindentation test on calculations of macro-hardness by taking into account the indentation size effect and the surface roughness. The most innovative feature of this model is the simultaneous statistical treatment of all the nanoindentation loading curves. The curve treatment mainly corrects errors in the zero depth determination by correlating their positions through the use of a relative reference. First, the experimental loading curves are described using the Bernhardt law. The fitted curves are then shifted, in order to simultaneously reduce the gaps between them that result from the scatter in the experimental curves. A set of shift depths, Δhc , is therefore identified. The proposed approach is applied to a large set of TiAl6V4 titanium-based samples with different roughness levels, polished by eleven silicon carbide sandpapers from grit paper 80 to 4,000. The result reveals that the scatter degree of the indentation curves is higher when the surface is rougher. The standard deviation of the shift Δhc is linearly connected to the standard deviation of the surface roughness, if the roughness is high-pass filtered in the scale of the indenter (15 µm). Using the proposed method, the estimated macro-hardness for eleven studied TiAl6V4 samples is in the range of 3.5-4.1 GPa, with the smallest deviation around 0.01 GPa, which is more accurate than the one given by the Nanoindentation MTS™ system, which uses an average value (around 4.3 ± 0.5 GPa). Moreover, the calculated Young's modulus of the material is around 136 ± 20 GPa, which is similar to the modulus in literature.

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Section: Methodsmentioning

confidence: 98%

Effect of surface roughness in the determination of the mechanical properties of material using nanoindentation test

et al. 2013

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“…This multi-parameter representation of surface roughness has been reported in various works and some efforts have been put previously to develop a method for selecting relevant parameters (Scott et al 2005, Narayan et al 2006, Jordan et al 2006, Berglund et al 2010, Bigerelle et al 2005b). …”

Section: 4mentioning

confidence: 96%

“…In summary, these figures show that the range of relevant evaluation length depends on the class of roughness parameters. This multi-parameter representation of surface roughness has been reported in various works and some efforts have been put previously to develop a method for selecting relevant parameters (Bigerelle and Anselme, 2005;Scott et al, 2005;Jordan and Brown, 2006;Narayan et al, 2006;Berglund et al, 2010).…”

Section: The Multiscale Analyses Of the Relevance Of Surface Topograpmentioning

confidence: 99%

How to select the most relevant 3D roughness parameters of a surface

2013

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This is the pre-peer reviewed version of the following article: Deltombe R., Kubiak K.J., Bigerelle M, How to select the most relevant 3D roughness parameters of a surface (2011) Summary:In order to conduct a comprehensive roughness analysis, around sixty 3D roughness parameters are created to describe most of the surface morphology with regard to specific functions, properties or applications. In this paper, a multiscale surface topography decomposition method is proposed with application to stainless steel (AISI 304), which is processed by rolling at different fabrication stages and by electrical discharge tool machining. Fifty-six 3Droughness parameters defined in ISO, EUR, and ASME standards are calculated for the measured surfaces. Then, expert software "MesRug" is employed to perform statistical analysis on acquired data in order to find the most relevant parameters characterizing the effect of both processes (rolling and machining), and to determine the most appropriate scale of analysis. For the rolling process: The parameter Vmc (the Core Material Volume-defined as volume of material comprising the texture between heights corresponding to the material ratio values of p = 10% and q = 80%) computed at the scale of 3 mm is the most relevant parameter to characterize the cold rolling process. For the EDM Process, the best roughness parameter is SPD that represents the number of peaks per unit area after segmentation of a surface into motifs computed at the scale of 8 µm.

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“…The relative area as a function of scale, which is the product of area‐scale analysis, has been used successfully in the past to discriminate polyethylene surfaces that were ground differently (Jordan and Brown 2006) and pharmaceutical excipient compacts made from different materials (Narayan et al . 2006).…”

Section: Introductionmentioning

confidence: 99%

Investigation of surface topography differences in native and exotic invertebrates in the St. Lawrence River

Brown¹,

Brown²

2010

Scanning

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Summary:The texture, or topography, interior of shells from native and exotic mollusks are measured and compared to determine if they can be discriminated. Area-scale fractal analysis is used to calculate relative areas as a function of scale, and the relative areas are used to evaluate the measurements. Measurements from a scanning laser profiler and from confocal and interferometric microscopes are compared, as are measurements of an original and a replica. The relative areas indicate clear differences between the measurement instruments. The largest relative areas are calculated from the confocal measurements. The trueness of the measurements has not been determined. However, the relative areas calculated from the confocal measurements are capable of discriminating the native clam from the exotic mussels with a confidence of greater than 99% at scales below 10 mm 2 . SCANNING 32: 250-255, 2010. r

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Differentiation of the surface topographies of pharmaceutical excipient compacts

Cited by 19 publications

References 17 publications

Effect of surface roughness in the determination of the mechanical properties of material using nanoindentation test

Effect of surface roughness in the determination of the mechanical properties of material using nanoindentation test

How to select the most relevant 3D roughness parameters of a surface

Investigation of surface topography differences in native and exotic invertebrates in the St. Lawrence River

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