Non-destructive nanocellulose coating thickness and grammage determination with near-infrared hyperspectral imaging

Mikko Valkonen; Muhammad Awais; Mikko Mäkelä; Hannes  Orelma; Lauri Rautkari

Non-destructive nanocellulose coating thickness and grammage determination with near-infrared hyperspectral imaging

Mikko Valkonen, Muhammad Awais, Mikko Mäkelä, Hannes Orelma, Lauri Rautkari

VTT Technical Research Centre of Finland Ltd.

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference contribution › Professional

Abstrakti

Background
Near-infrared (NIR) hyperspectral imaging (HSI) is a fast, robust, and non-destructive technique to estimate wood polymers reliably. The NIR HSI images contain a three-dimensional structured dataset known as a hypercube which depicts the two-dimensional spatial variation in terms of pixels and the NIR spectral channels as the third dimension. Inspired by Maurer and Leuenberger (2009), non-destructive NIR HSI was used to visualise the heterogeneity of the thickness and grammage (GSM) of the nanocellulosic high-consistency enzymatic fibrillation of cellulose (HefCel) (Pere et al., 2020) surface coating of birch (Betula pendula) (Pramreiter et al., 2020) veneers (BVs) by varying the no. of coating layers. However, finding studies that use NIR HSI for nanocellulose-coated wood and wood products is challenging. (Mäkelä et al., 2020; Schimleck et al., 2022)

Alkuperäiskieli	Englanti
Otsikko	18th Annual Meeting of the Northern European Network for Wood Science and Engineering, 21-22 September 2022, Göttingen, Germany
Sivumäärä	3
Tila	Julkaistu - 16 elok. 2022
OKM-julkaisutyyppi	D3 Ammatillisen konferenssin julkaisusarja
Tapahtuma	Annual Meeting of the Northern European Network for Wood Science and Engineering - Georg-August-University Goettingen, Göttingen, Saksa Kesto: 21 syysk. 2022 → 22 syysk. 2022 Konferenssinumero: 18 https://www.uni-goettingen.de/de/wse+2022/652657.html

Conference

Conference	Annual Meeting of the Northern European Network for Wood Science and Engineering
Lyhennettä	WSE
Maa/Alue	Saksa
Kaupunki	Göttingen
Ajanjakso	21/09/2022 → 22/09/2022
www-osoite	https://www.uni-goettingen.de/de/wse+2022/652657.html

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Koko teksti

VERYCOAT: Novel high-performance veneer products by effective drying and nano-coating
Rautkari, L., Altgen, D., Altgen, M., Awais, M., Vergara Lourencon, T., Mäkelä, M., Yamamoto, A. & Valkonen, M.
01/06/2019 → 31/05/2022
Projekti: Business Finland: Other research funding

Biotalousinfrastruktuuri
Jukka Seppälä (Manager)
Kemian tekniikan korkeakoulu
Laitteistot/tilat: Facility

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@inproceedings{c73779206a174fae8136f78a96d47250,

title = "Non-destructive nanocellulose coating thickness and grammage determination with near-infrared hyperspectral imaging",

abstract = "Background Near-infrared (NIR) hyperspectral imaging (HSI) is a fast, robust, and non-destructive technique to estimate wood polymers reliably. The NIR HSI images contain a three-dimensional structured dataset known as a hypercube which depicts the two-dimensional spatial variation in terms of pixels and the NIR spectral channels as the third dimension. Inspired by Maurer and Leuenberger (2009), non-destructive NIR HSI was used to visualise the heterogeneity of the thickness and grammage (GSM) of the nanocellulosic high-consistency enzymatic fibrillation of cellulose (HefCel) (Pere et al., 2020) surface coating of birch (Betula pendula) (Pramreiter et al., 2020) veneers (BVs) by varying the no. of coating layers. However, finding studies that use NIR HSI for nanocellulose-coated wood and wood products is challenging. (M{\"a}kel{\"a} et al., 2020; Schimleck et al., 2022)",

keywords = "Non-destructive, hyperspectral imaging, nanocellulose coating, quality control",

author = "Mikko Valkonen and Muhammad Awais and Mikko M{\"a}kel{\"a} and Hannes Orelma and Lauri Rautkari",

year = "2022",

month = aug,

day = "16",

language = "English",

booktitle = "18th Annual Meeting of the Northern European Network for Wood Science and Engineering, 21-22 September 2022, G{\"o}ttingen, Germany",

note = "Annual Meeting of the Northern European Network for Wood Science and Engineering, WSE ; Conference date: 21-09-2022 Through 22-09-2022",

url = "https://www.uni-goettingen.de/de/wse+2022/652657.html",

}

Valkonen, M , Awais, M, Mäkelä, M, Orelma, H & Rautkari, L 2022, Non-destructive nanocellulose coating thickness and grammage determination with near-infrared hyperspectral imaging. julkaisussa 18th Annual Meeting of the Northern European Network for Wood Science and Engineering, 21-22 September 2022, Göttingen, Germany. Annual Meeting of the Northern European Network for Wood Science and Engineering, Göttingen, Lower Saxony, Saksa, 21/09/2022.

Non-destructive nanocellulose coating thickness and grammage determination with near-infrared hyperspectral imaging. / Valkonen, Mikko ; Awais, Muhammad; Mäkelä, Mikko et al.
18th Annual Meeting of the Northern European Network for Wood Science and Engineering, 21-22 September 2022, Göttingen, Germany. 2022.

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference contribution › Professional

TY - GEN

T1 - Non-destructive nanocellulose coating thickness and grammage determination with near-infrared hyperspectral imaging

AU - Valkonen, Mikko

AU - Awais, Muhammad

AU - Mäkelä, Mikko

AU - Orelma, Hannes

AU - Rautkari, Lauri

N1 - Conference code: 18

PY - 2022/8/16

Y1 - 2022/8/16

N2 - Background Near-infrared (NIR) hyperspectral imaging (HSI) is a fast, robust, and non-destructive technique to estimate wood polymers reliably. The NIR HSI images contain a three-dimensional structured dataset known as a hypercube which depicts the two-dimensional spatial variation in terms of pixels and the NIR spectral channels as the third dimension. Inspired by Maurer and Leuenberger (2009), non-destructive NIR HSI was used to visualise the heterogeneity of the thickness and grammage (GSM) of the nanocellulosic high-consistency enzymatic fibrillation of cellulose (HefCel) (Pere et al., 2020) surface coating of birch (Betula pendula) (Pramreiter et al., 2020) veneers (BVs) by varying the no. of coating layers. However, finding studies that use NIR HSI for nanocellulose-coated wood and wood products is challenging. (Mäkelä et al., 2020; Schimleck et al., 2022)

AB - Background Near-infrared (NIR) hyperspectral imaging (HSI) is a fast, robust, and non-destructive technique to estimate wood polymers reliably. The NIR HSI images contain a three-dimensional structured dataset known as a hypercube which depicts the two-dimensional spatial variation in terms of pixels and the NIR spectral channels as the third dimension. Inspired by Maurer and Leuenberger (2009), non-destructive NIR HSI was used to visualise the heterogeneity of the thickness and grammage (GSM) of the nanocellulosic high-consistency enzymatic fibrillation of cellulose (HefCel) (Pere et al., 2020) surface coating of birch (Betula pendula) (Pramreiter et al., 2020) veneers (BVs) by varying the no. of coating layers. However, finding studies that use NIR HSI for nanocellulose-coated wood and wood products is challenging. (Mäkelä et al., 2020; Schimleck et al., 2022)

KW - Non-destructive

KW - hyperspectral imaging

KW - nanocellulose coating

KW - quality control

M3 - Conference contribution

BT - 18th Annual Meeting of the Northern European Network for Wood Science and Engineering, 21-22 September 2022, Göttingen, Germany

T2 - Annual Meeting of the Northern European Network for Wood Science and Engineering

Y2 - 21 September 2022 through 22 September 2022

ER -

Non-destructive nanocellulose coating thickness and grammage determination with near-infrared hyperspectral imaging

Abstrakti

Conference

YK:n kestävän kehityksen tavoitteet

OpenUrl-saatavuus

Sormenjälki

Projektit

VERYCOAT: Novel high-performance veneer products by effective drying and nano-coating

Laitteet

Biotalousinfrastruktuuri

Siteeraa tätä