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Record W2095057986 · doi:10.2140/jomms.2014.9.227

Bimaterial lattices with anisotropic thermal expansion

2014· article· en· W2095057986 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of mechanics of materials and structures · 2014
Typearticle
Languageen
FieldEngineering
TopicCellular and Composite Structures
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAnisotropyMaterials scienceThermal expansionThermalNegative thermal expansionComposite materialPhysicsThermodynamicsOptics

Abstract

fetched live from OpenAlex

Numerous structures that are used in the aerospace and automobile industries, microelectronics, and civil engineering are subject to large variations of temperature. The deformations caused by temperature can be dangerous because they lead to thermal stresses and failure if materials with mismatched thermal expansion are joined. On the other hand, thermal extensions can be used to achieve desirable displacements in structures. In this work, we use bimaterial lattices made of two materials and empty space that combine low weight with high stiffness and structural robustness. The lattices can serve as adapters that eliminate or mitigate dangerous thermal stresses, as elements for fine tuning in optical systems, or as thermal actuators. To perform these functions, the lattices must be anisotropic, which can be achieved if the lattice consists of non-identical anisotropic cells. Each cell is composed of an irregular triangle made of one material surrounded by a skewed hexagon made of another material. The overall performance of the lattice is defined by six hexagon skew angles and the ratio of the two coefficients of thermal expansion (CTEs) of the lattice materials. The cells are connected to adjoining cells at three points; changes in the distances between these points as a function of temperature can be tailored. The primary goal of the research is to elaborate general principles and algorithms to design lattices, select material, and improve structural efficiency. Several adaptive lattices are designed including a polygonal ring connector to prevent distortion in cylindrical optical components, a lattice preventing shaft and collar sticking, and lattices controlling the total deflection of two substrates. Lattices providing predetermined displacements in desirable directions have been studied, and it was demonstrated that different temperature supplied to different cells of a polygonal ring connector can be used for fine tuning of optical lenses. Finally, thermal actuators - a switch, tweezers, and a valve - are designed. In terms of overall performance, the actuators are slow but do not exhibit hysteresis: their thermal expansion depends on temperature but not on preceding thermal history. The forces and deflections they achieve compare favorably with piezoelectrics and shape memory alloys.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.004
Threshold uncertainty score0.336

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.004
GPT teacher head0.183
Teacher spread0.179 · 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