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Record W2201852180

An Elevated-Temperature Tension-Compression Test and Its Application to Mg AZ31B

2011· article· en· W2201852180 on OpenAlexfundno aff
Kun Piao

Bibliographic record

VenueOhioLink ETD Center (Ohio Library and Information Network) · 2011
Typearticle
Languageen
FieldMaterials Science
TopicMagnesium Alloys: Properties and Applications
Canadian institutionsnot available
FundersNational Research Foundation of KoreaSunchon National UniversityNational Research FoundationUniversity of Windsor
KeywordsMaterials scienceComposite materialIsothermal processCompression (physics)Tension (geology)Strain rateUniversal testing machineDeformation (meteorology)Ultimate tensile strengthThermodynamics
DOInot available

Abstract

fetched live from OpenAlex

Many metals, particularly ones with HCP crystal structures, undergo deformation by combinations of twinning and slip, the proportion of which depends on variables such as temperature and strain rate.Typical techniques to reveal such mechanisms rely on metallography, x-ray diffraction, or electron optics.Simpler, faster, less expensive mechanical tests were developed in the current work and applied to Mg AZ31B.An apparatus was designed, simulated, optimized, and constructed to enable the large-strain, continuous tension/compression testing of sheet materials at elevated temperature.Thermal and mechanical FE analyses were used to locate cartridge heaters, thus enabling the attainment of temperatures up to 350 o C within 15 minutes of start-up, and ensuring temperature uniformity throughout the gage length within 8 o C. The low-cost device also makes isothermal testing possible at strain rates higher than corresponding tests in air.Analysis was carried out to predict the attainable compressive strains using novel finite element (FE) modeling and a single parameter characteristic of the machine and fixtures.The limits of compressive strain vary primarily with the material thickness and the applied-side-force-to-material-strength ratio.Predictions for a range of sheet alloys iii with measured buckling strains from -0.04 to -0.17 agreed within a standard deviation of 0.025 (0.015 excluding one material that was not initially flat).In order to demonstrate the utility of the new method, several sheet materials were tested over a range of temperatures.Some of the data obtained is the first of its kind.Magnesium AZ31B sheets were tested at temperatures up to 250 o C with strain rate of 0.001/s.The inflected stress-strain curve observed in compression at room temperature disappeared between 125 o C and 150 o C, corresponding to the suppression of twinning, and suggesting a simple method for identifying the deformation mechanism transition temperature.The temperature-dependent behavior of selected advanced high strength steels (TWIP and DP) was revealed by preliminary tests at room temperature, 150 o C and 250 o C. For Mg AZ31B alloy sheets, the curvature of compressive stress-strain plots over a fixed strain range was found to be a consistent indicator of twinning magnitude, independent of temperature and strain rate.The relationship between curvature and areal fraction of twins is presented.Transition temperatures determined based on stress-strain curvature were consistent with ones determined by metallographic analysis and flow stresses, and depended on strain rate by the Zener-Hollomon parameter, a critical value for which was measured.The transition temperature was found to depend significantly on grain size, a relationship for which was established.Finally, it was shown that the transition temperature can be determined consistently, and much faster, using a single novel -Step-Temperature‖ test.iv

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.199
Teacher spread0.189 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2011
Admission routes1
Has abstractyes

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Same venueOhioLink ETD Center (Ohio Library and Information Network)Same topicMagnesium Alloys: Properties and ApplicationsFrench-language works237,207