Notice bibliographique
Résumé
Considering the declining non-renewable fossil resources, there is increasing interest in the development of more environmentally conscious, sustainable and cost-effective substitutes for chemical production. Lignin, a main component in lignocellulosic biomass, has been considered to be a potential substitute for petroleum-based phenol due to its phenolic structure.\nThis PhD dissertation aimed at producing bio-based phenol formaldehyde (BPF) foams using bio-phenols, including but not limited to, kraft lignin (KL), organosolv lignin (OL), hydrolysis lignin (HL), and bio-crude oil from white birth bark. The challenge of the existing process of producing BPF foams is that a low phenol substitution ratio, generally less than 30%, can be achieved due to much lower reactivity of bio-phenols compared with phenol. The use of conventional foaming technology was considered as the main reason for the low phenol substitution ratio in the production of BPF foams. Therefore, a novel foaming technology was developed for the production of BPF foams with high phenol substitution ratios of up to 50%, taking into account both fundamental foaming principle and characteristics of BPF resoles.\nKL and OL were used as petroleum-based phenol substitutes without any pretreatments for BPF foam production. The optimal composition of the blowing agent was found to be (5 wt.% hexanes + 5 wt.% pentane) for the 50% BPF foams, (7.5 wt.% hexanes + 2.5 wt.% pentane) for the 40% BPF foams, 10 wt.% hexanes for the 30% BPF foams. The results of cone calorimeter and limiting oxygen index (LOI) tests suggested that substituting phenol with lignin does not impact significantly on the combustion properties of the PF foams. Being even better, the introduction of KL in the PF foam could reduce the emission of toxic CO during the combustion.\nHL was de-polymerized by a proprietary low-temperature/no pressure de-polymerization process for the preparation of de-polymerized hydrolysis lignin (DHL) with Mn of 638 g/mol, Mw of 1910 g/mol, and PDI of 2.99. Then the DHL was utilized as a phenol substitute for the synthesis of foamable BPF resole resins, followed by employing the above mentioned new modified foaming technology for BPF foam production. White birch bark was hydrothermally liquefied in ethanol-water (1:1, w/w) mixture into phenolic bio-crude oil, followed by production of foamable BPF resoles and then BPF foams.\nAll BPF foams produced exhibited low apparent density, strong compressive strength, low thermal conductivity, and satisfactory closed cell structure, all of which were comparable to conventional PF foams. The new foaming technology demonstrated to be promising for industrial applications, which reduced the use of both petroleum-based phenol and toxic formaldehyde by up to 50% in the preparation of BPF foams. The utilization of lignin for manufacturing of value-added bio-based materials could not only produce high-value bio-based PF foams as promising insulation and fire-retarding materials, but also greatly benefit the forestry and agriculture sectors with additional revenue streams.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».