SCOUT - Surface Characterization Open-Source Universal Toolbox

Sacerdotti, F; Porrino, Alessandro; Butler, C.; Brinkmann, S.; Vermeulen, Michel

doi:10.1088/0957-0233/13/2/401

Cited by 14 publications

(6 citation statements)

References 3 publications

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“…The metrology parameters are then calculated in the scale-limited surface S-F in the bandwidth set by the x/y resolution of the scanning profilometer and the measurement x/y length. [35]. Scalelimited roughness components separation is not carried out in the present work, but an example of multiscale analysis performed by the authors can be found in [8].…”

Section: The Surface Metrology Workflowmentioning

confidence: 99%

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Surface Metrology Based on Scanning Conoscopic Holography for In Situ and In-Process Monitoring of Microtexture in Paintings

Daffara¹,

Mazzocato²

2022

Sensors

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In the field of engineering, surface metrology is a valuable tool codified by international standards that enables the quantitative study of small-scale surface features. However, it is not recognized as a resource in the field of cultural heritage. Motivated by this fact, in this work, we demonstrate the use and the usefulness of surface metrology based on scanning conoscopic holography for monitoring treatments on the Venetian masterpiece by Tintoretto St. Martial in Glory with the Saints Peter and Paul. We carried out in situ and in-process monitoring of the painting microtexture during an experimental, innovative laser–chemical treatment, and we performed a statistical analysis based on ISO areal field parameters. A wide and in-band roughness analysis through the complementary use of amplitude, spatial, and hybrid parameters confirmed the noninvasive nature of the whole treatment on the painting surface topography, giving us the chance to review and critically discuss the use of these parameters in a real case in heritage science.

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Section: The Surface Metrology Workflowmentioning

confidence: 99%

“…Workflow diagram in the general framework of metrology in cultural heritage. Algorithms are implemented in MatLab environment, starting from the open-source SCOUT toolbox[35]. Scalelimited roughness components separation is not carried out in the present work, but an example of multiscale analysis performed by the authors can be found in[8].…”

mentioning

confidence: 99%

Surface Metrology Based on Scanning Conoscopic Holography for In Situ and In-Process Monitoring of Microtexture in Paintings

Daffara¹,

Mazzocato²

2022

Sensors

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“…Indeed, a proliferation of roughness parameters, termed by Whitehouse as 'parameter rash', has been used to describe the different kinds of natural, manufactured, and modelled surface topographies [22]. Choosing which of these various roughness parameters is the most relevant to describe a surface topography of a specific application remains a difficult task of paramount importance [23][24][25][26][27]. Most often, practitioners retain a restrictive set of roughness parameters [28,29].…”

Section: Limitations Of Conventional Analysesmentioning

confidence: 99%

Multiscale morphology of high-precision turning process surfaces

Bigerelle

Gorp

Gautier

et al. 2007

Proceedings of the Institution of Mechanical Engineers, Part B:

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The characterization of functional surfaces is done mainly by roughness which can be quantified by many parameters. In order to select relevant roughness parameters, a multiscale discriminant method is proposed and applied to characterize high-precision turned surfaces. First, surfaces are characterized by a single roughness parameter and secondly by a pair of roughness parameters. In all cases, the most relevant evaluation length is also determined for each parameter. The results obtained on four different samples show that the most relevant roughness parameter is Rk estimated on a 10μm evaluation length. The best pair of parameters is Δa and Ri, estimated respectively on 20μm and 100μm evaluation lengths. Rk well characterizes the microroughness, which seems to be mainly representative of the roughness of high-precision machined surfaces. However, only multiscale analyses with a pair of roughness parameters can characterize both the macroscopic and microscopic morphologies of machined surfaces.

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“…Over the last 20 years, several projects have been undertaken to test roughness evaluation software for profiles [20] and for areal topography maps [21][22][23]. To facilitate this goal, software measurement standards, also known as softgauges, have been defined and shared.…”

Section: Introductionmentioning

confidence: 99%

Intercomparison to validate implementations of different laboratories of algorithms for the analysis of surface texture

Hüser,

Seewig,

Volk

et al. 2024

Surf. Topogr.: Metrol. Prop.

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The surface texture is an important feature of machine parts for any kind of contact. The quantification of its properties has been a well-established area in quality assurance for many decades. With the increasing demand for precision and interchangeability in the globalised marketplace, the results of surface analysis must be unambiguous and reliable. This is why the International Standardization’s Technical Committee on Geometric Product Specification has updated its standards. Consequently, instrument manufacturers and calibration laboratories need to ensure that their analysis software complies with the new ISO standards. An intercomparison has therefore been carried out to validate surface texture analysis software. Over the past two decades, a number of tests have been conducted on surface texture measurement and analysis methods, including issues of instrument response, discretisation and quantisation. This article examines the numerical and computational aspects of analysis algorithms that process data sets of discrete values of finite floating-point precision as input. The method of testing texture analysis algorithms utilising software measurement standards (softgauges) and the specification of the test tasks are explained. The results of the comparison are presented and discussed.

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SCOUT - Surface Characterization Open-Source Universal Toolbox

Cited by 14 publications

References 3 publications

Surface Metrology Based on Scanning Conoscopic Holography for In Situ and In-Process Monitoring of Microtexture in Paintings

Surface Metrology Based on Scanning Conoscopic Holography for In Situ and In-Process Monitoring of Microtexture in Paintings

Multiscale morphology of high-precision turning process surfaces

Intercomparison to validate implementations of different laboratories of algorithms for the analysis of surface texture

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