Evidence map›Paper›PMID 35214449›Full record

ArticleSensors (Basel, Switzerland)2022

Non-Contact Paper Thickness and Quality Monitoring Based on Mid-Infrared Optical Coherence Tomography and THz Time Domain Spectroscopy.

Rasmus Eilkær Hansen, Thorsten Bæk, Simon Lehnskov Lange, Niels Møller Israelsen, Markku Mäntylä, Ole Bang, Christian Rosenberg Petersen

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Rasmus Eilkær HansenDTU Fotonik, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark.ORCID 0000-0001-8545-5765
Thorsten BækDTU Fotonik, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark.ORCID 0000-0001-5272-7031
Simon Lehnskov LangeDTU Fotonik, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark.
Niels Møller IsraelsenDTU Fotonik, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark.
Markku MäntyläValmet Oyj, Keilasatama 5, FI-02150 Espoo, Finland.
Ole BangDTU Fotonik, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark.ORCID 0000-0002-8041-9156
Christian Rosenberg PetersenDTU Fotonik, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark.ORCID 0000-0002-2883-7908

Funding

DTU PoC Fund N/A
6 · The paper itself

Abstract

In industrial paper production, online monitoring of a range of quality parameters is essential for ensuring that the performance and appearance of the final product is suitable for a given application. In this article, two optical sensing techniques are investigated for non-destructive, non-contact characterization of paper thickness, surface roughness, and production defects. The first technique is optical coherence tomography based on a mid-infrared supercontinuum laser, which can cover thicknesses from ~20-90 μm and provide information about the surface finish. Detection of subsurface voids, cuts, and oil contamination was also demonstrated. The second technique is terahertz time domain spectroscopy, which is used to measure paper thicknesses of up to 443 μm. A proof-of-concept thickness measurement in freely suspended paper was also demonstrated. These demonstrations highlight the added functionality and potential of tomographic optical sensing methods towards industrial non-contact quality monitoring.

Indexed as

Terahertz SpectroscopyTomography, Optical CoherenceSpectrum Analysisdefectimagingmid-infraredNDTnon-contactnon-destructiveOCTTDSthicknessTHz

Identifiers

PMID35214449
PMCPMC8877368

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.