MétaCan
Menu
← Retour à la cohorte
Enregistrement W7008713868

Colour – A Reliable Quality-Control Tool for Industrial Thermowood® Production

2021· article· en· W7008713868 sur OpenAlexaboutno aff

Notice bibliographique

RevueKTH Publication Database DiVA (KTH Royal Institute of Technology) · 2021
Typearticle
Langueen
DomaineEngineering
ThématiqueWood Treatment and Properties
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésProcess (computing)Production (economics)Intensity (physics)Work (physics)Scale (ratio)RepeatabilityThermal
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The objective of the work presented in this doctoral thesis has been to correlate the commercial output of ThermoWood® process with a pre-defined, quantifiable, non-destructive measurable parameter - colour, and to show the feasibility of measurements to be the essential part of the internal and external quality-control system. Colour is the most evident property changed of thermally-modified timber (TMT). Colour can be thought of as describing the intensity of the process and as such is a sign of repeatability when working with same treatment methodology and materials. Intensity is usually related to the temperature and time, but elements like water or moisture, steam and pressure present on their own or when combined, have their own influence on the final properties of wood. There are several processes using these above-mentioned components as a modification method for wood. In addition, processes using oil as a heat-transferring element are included in this same modification category. Some of the methods are closely interrelated, with only subtle differences noted. Most of these methods are patented, introduced and processed in Europe, but the market and potential increase for these methods is worldwide. TMT is a new product, with a relatively short industrial scale history (approx. 25 years). During this time huge technical improvements have been made. Processes that are computer aided, remote controlled, and containing recordable systems have replaced the traditional manual processes. Building materials and technical parts regarding air circulation, ventilation, heating and measuring technology with much better thermal endurance has been introduced. All these, combined with several variety of wood species becoming commercially available, have set the frames for a successful enabling of the technology. TMT dominates modified wood. Nevertheless, it is only fraction of treated wood available when looking at preservative treated wood produced globally. Respective comparisons between thermally-modification processes ThermoWood® and WTT® have been undertaken. Due to different treatment atmospheres and wood moisture content, significant chemical changes of water-soluble compounds and degradation products, colour, acidity and strength properties were reported. All the material used in these studies was based on typical dimensions and lengths and they were industrially produced. There were several options for ThermoWood® sources, because the products are classified, and processes are certified. WTT® treatment process was lately presented and the initial experience and knowledge about process was minor. As a consequence. some unexpected reactions and observations were experienced. ThermoWood® represents the major part of TMT commercially produced in Europe. It has two treatment classes Thermo-D and Thermo-S, where the D describes “durability” and S “stability”, respectively. Thermo-D products are usually exposed to external applications and wood species such as Norway spruce and Scots pine are used. Most of the ThermoWood® producers have been audited by certification body since 2006. At present there are several producers from Finland, Iran, Latvia, Poland, Sweden, Turkey and latest Canada which are under continuous control system and certified. New treatment kilns have been supplied to several new countries and as a consequence more potential customers are expected to apply membership and certification. The importance of required treatment parameters in each class, repeatability and internal quality control is highlighted. Non-destructive colour measurements (CIELab) system from wood surface has been applied as one quality control method and extensive colour data has been collected during external audits and even much more in continuous internal quality control. Colour measurements have been entrenched as a daily routine in the production plants. Much of this data has been used in this study and a correlation between L* and b* has been observed in both treatment classes. There have not been a lot of studies published dealing with Norway spruce and Scots pine colour measurements, produced with a dry process under superheated steam, but all the studies found regarding these two wood species suggested that colour might be a reliable quality control tool and the studies done in this thesis strengthened this opinion.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,004
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,008
Score d'incertitude au seuil0,026

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,004
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,001
Études des sciences et des technologies0,0000,001
Communication savante0,0020,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0080,004

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,040
Tête enseignante GPT0,259
Écart entre enseignants0,219 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2021
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueKTH Publication Database DiVA (KTH Royal Institute of Technology)→Même sujetWood Treatment and Properties→Travaux en français237 207→