Modeling the systematic behavior at the micro and nano length scale
Danilo Quagliotti

TL;DR
This paper evaluates the applicability of the GUM approach for uncertainty assessment in micro and nano dimensional and surface topography measurements, addressing specific influence factors and proposing a systematic model for improved traceability.
Contribution
It demonstrates the successful adaptation of the GUM approach to micro/nano measurements and analyzes its efficacy, limitations, and potential future improvements.
Findings
GUM approach can be effectively applied at micro/nano scales
Influence factors like measurement repetitions and instrument type impact uncertainty
The study provides models for systematic behavior correction at small scales
Abstract
The brisk progression of the industrial digital innovation, leading to high degree of automation and big data transfer in manufacturing technologies, demands continuous development of appropriate off-line metrology methods to support processes' quality with a tolerable assessment of the measurement uncertainty. On the one hand specific-area references propose methods that are not yet well optimized to the changed background, and on the other, international general recommendations guide to effective uncertainty evaluation, but suggesting procedures that are not necessarily proven efficient at the micro- and nano-dimensional scale. The well-known GUM approach (i.e. frequentist statistics) was analyzed with the aim to test consistently its applicability to micro/nano dimensional and surface topography measurements. The investigation assessed three different clarifying situations, giving…
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Taxonomy
TopicsAdvanced Measurement and Metrology Techniques · Surface Roughness and Optical Measurements · Advanced Sensor Technologies Research
