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Record W2414055614

Understanding effects of drying methods on wood mechanical properties at ultra and cellular levels

2016· article· en· W2414055614 on OpenAlexafffundabout
Pierre Blanchet, Alizera Kaboorani Kaboorani, Cecilia Bustos

Bibliographic record

VenueWood and Fiber Science (Society of Wood Science and Technology) · 2016
Typearticle
Languageen
FieldEngineering
TopicWood Treatment and Properties
Canadian institutionsUniversité Laval
FundersNatural Sciences and Engineering Research Council of CanadaFPInnovations
KeywordsNanoindentationWood dryingKilnComposite materialMaterials scienceVacuum dryingSoftwoodOriented strand boardWater contentYoung's modulusFlexural strengthMoistureEquilibrium moisture contentHumidityPulp and paper industryFreeze-dryingChemistryMetallurgyEngineering
DOInot available

Abstract

fetched live from OpenAlex

Conventional kiln and vacuum drying are commonly used in industry to dry wood.In this study, an attempt was made to develop a better understanding of the effects of both drying methods on the mechanical properties of wood at the ultra and cellular structure levels.Dynamic mechanical analysis (DMA) and nanoindentation (NI) were used together with standard static bending tests according to American Society for Testing and Materials D143 to assess the respective effects of both drying methods on the performance of yellow birch (Betula alleghaniensis Brit.) wood, an important species in the Canadian wood industry.Measurements of EMC at different RH levels showed that vacuum drying consistently yielded greater EMC values.Vacuum-dried wood also exhibited superior modulus of elasticity and modulus of rupture performance.Tests conducted by DMA demonstrated that the chemical structure of wood had undergone more changes during conventional kiln drying than during vacuum drying.Elastic modulus and hardness measured by NI revealed that the impact of wood drying can be detected at the cell wall level as well.The results of this study showed that special attention should be paid to the effects of specific drying methods on the chemical structure of wood, because the chemical changes occurring in the kiln impact the quality of the final products.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.005
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.049
GPT teacher head0.245
Teacher spread0.196 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations16
Published2016
Admission routes3
Has abstractyes

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Same venueWood and Fiber Science (Society of Wood Science and Technology)Same topicWood Treatment and PropertiesFrench-language works237,207