Back to the envelope system with morphological operations for the evaluation of surfaces

Dietzsch, Michael; Gerlach, M.; Gröger, Sophie

doi:10.1016/j.wear.2006.08.042

Cited by 18 publications

(10 citation statements)

References 1 publication

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“…Frequently, the surface model class is either a sphere or a plane, but other custom forms, referred to as freeform surfaces, can be used for specialized applications; however, the surface model class must be sufficiently defined so that P can be assumed to be normally distributed about M . Form is the lowest-order classification of surface topography, the other two being surface waviness (2 nd order) and surface roughness (3 rd to 5 th order) [22] [23] . Discussion about the characterization of waviness and roughness is beyond the scope of this paper.…”

Section: Form Precisionmentioning

confidence: 99%

Hierarchical characterization procedures for dimensional metrology

et al. 2011

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We present a series of dimensional metrology procedures for evaluating the geometrical performance of a 3D imaging system that have either been designed or modified from existing procedures to ensure, where possible, statistical traceability of each characteristic value from the certified reference surface to the certifying laboratory. Because there are currently no internationally-accepted standards for characterizing 3D imaging systems, these procedures have been designed to avoid using characteristic values provided by the vendors of 3D imaging systems. For this paper, we focus only on characteristics related to geometric surface properties, dividing them into surface form precision and surface fit trueness. These characteristics have been selected to be familiar to operators of 3D imaging systems that use Geometrical Dimensioning and Tolerancing (GD&T). The procedures for generating characteristic values would form the basis of either a volumetric or application-specific analysis of the characteristic profile of a 3D imaging system. We use a hierarchical approach in which each procedure builds on either certified reference values or previously-generated characteristic values. Starting from one of three classes of surface forms, we demonstrate how procedures for quantifying for flatness, roundness, angularity, diameter error, angle error, sphere-spacing error, and unidirectional and bidirectional plane-spacing error are built upon each other. We demonstrate how these procedures can be used as part of a process for characterizing the geometrical performance of a 3D imaging system.

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Section: Form Precisionmentioning

confidence: 99%

Hierarchical characterization procedures for dimensional metrology

et al. 2011

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“…It is important to mention that MO with the erosion and dilation operators have had several applications, including medical research [28], wearing research methods [29], infrared analysis [30], materials characterization [31], manufacturing applications [32], non-destructive testing [33], renewable energy [34], among others. However, to the authors' knowledge, these MO procedures have not been used for multiple-valued water surface measurements in 2D hydrodynamic experiments, including shipping water research.…”

Section: Introductionmentioning

confidence: 99%

A simplified and open-source approach for multiple-valued water surface measurements in 2D hydrodynamic experiments

Hernández-Fontes

Hernández

Silva

et al. 2020

J Braz. Soc. Mech. Sci. Eng.

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“…The surface topography is characterized using confocal microscopy and scanning electron microcopy analysis. Furthermore, a 3D-characterization method for measuring the pattern homogeneity was applied based on morphological filtering [ 39 , 40 , 41 , 42 ], which allows a holistic view of the surface properties, and a new qualification approach of DLIP surface structures was introduced. The method presented here is of significant relevance to assure, in the future, a certain performance over the whole treated area as well as to permit in relevant industrial processes to quantitatively describe the produced topography in terms of homogeneity.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Optimum Process Parameters Fabricated by Direct Laser Interference Patterning Based on Central Composite Design

et al. 2020

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In this study, we report on the optimization of the direct laser interference patterning process by applying the design of experiments approach. The periodic line-like microstructures of a 8.50 µm spatial period were fabricated by a two-beam interference setup with nanosecond laser pulses, varying laser fluence, pulse overlap, and hatch distance. Central composite design with three factors and five levels was implemented to optimize the required number of experiments. The experimental and numerical results show the impact of various structuring process parameters on surface uniformity. The responses measured are the structure height, height error, and waviness of the pattern. An analysis of the microstructures on the patterned surface was conducted by confocal microscopy and scanning electron microscopy. A 3D-characterization method based on morphological filtering, which allows a holistic view of the surface properties, was applied, and a new qualification scheme for surface microstructures was introduced. Empirical models were also developed and validated for establishing relationships between process parameters and performance criteria. Multi-objective optimization was performed to achieve a minimal value of structure height errors and waviness.

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Back to the envelope system with morphological operations for the evaluation of surfaces

Cited by 18 publications

References 1 publication

Hierarchical characterization procedures for dimensional metrology

Hierarchical characterization procedures for dimensional metrology

A simplified and open-source approach for multiple-valued water surface measurements in 2D hydrodynamic experiments

Prediction of Optimum Process Parameters Fabricated by Direct Laser Interference Patterning Based on Central Composite Design

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