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Record W2334985179 · doi:10.5658/wood.2015.43.6.777

Resonance Frequency Analysis of A Baseball Bat by Impact Angle

2015· article· en· W2334985179 on OpenAlexaboutno aff
Sun-Hyang Park, Woo-Yang Chung, Hwan‐Hee Jung, Sang Joon Lee

Bibliographic record

VenueJournal of the Korean Wood Science and Technology · 2015
Typearticle
Languageen
FieldEngineering
TopicSports Dynamics and Biomechanics
Canadian institutionsnot available
Fundersnot available
KeywordsVibrationAnisotropyPhysical propertyMaterials scienceYoung's modulusMaterial propertiesHomogeneity (statistics)Elasticity (physics)Resonance (particle physics)ModulusComposite materialMathematicsPhysicsAcousticsStatisticsOptics

Abstract

fetched live from OpenAlex

이방성 물질인 목재는 방향별로 나타나는 세포종류, 크기, 배열에 따라 경도, 성질, 치수변화등 서로 다른 성질을 나타낸다. 또한 사용용도에 따라 다양한 형태로 이용할 수 있는 재료이다. 그러나 동일수종의 목재 내에서도 변이성이 나타나기 때문에 각각의 고유성질과 용도에 대해 정확히 파악하고 이론 및 기술 등의 정립을 통해 재료 이용의 극대화를 위한 연구가 필요하다. 목재의 물리적 특성 및 밀도와 탄성계수의 관계에 관한 연구는 국내외로 다양하게 이루어져 왔으나 대부분 규격화된 시편으로 얻은 값을 통해 상관관계를 분석해왔으며 목재 완제품에 적용한 연구가 거의 없는 실정이다. 또한 야구배트에 대한 진동거동 및 타격에 관한 논문은 많이 있으나 목재 배트를 재료로서 물성을 분석한 연구가 미비한 실정이므로 이와 관련된 연구가 필요하다. 본 연구에서는 캐나다산 경단풍나무로 제작한 배트의 실제완제품을 이용하여 소재물성을 파악하고 주파수 비교를 통해 탄성계수를 분석하고자 한다. 소재물성 비교를 위해 배트의 연륜분포와 밀도 등 기초물성을 조사하였고 공진주파수와 관계식(ASTM C1259)을 통해 탄성계수를 산출하여 재료의 반발력을 산출하였다. 공진주파수 증가에 따른 연륜분포 비교에서 감소하는 경향을 나타냈다. 섬유방향에 따른 가진 각도별 비교에서 섬유방향과 수직한 <TEX>$0^{\circ}$</TEX> 방향으로 가진할 때보다 수평한 <TEX>$90^{\circ}$</TEX> 방향으로 가진할 때 탄성계수 값이 높게 나타났다. Wood is an anisotropic material that shows the changes in hardness, quality and dimensions depending on the types of cells on three cross sections, size, array and so on. It can also be used in different ways according to its use, which requires a meticulous research, in order to maximize the utilization by understanding the nature and use; and by clarifying the theory and technologies. The research on relationship among wood's physical properties, density, and elasticity of modulus have been studied in Korea and abroad, but those studies were based on correlation gained through standardized specimen. Rather, the study on complete product is rare. Moreover, the previous reports are mostly concentrating on vibration mode and batting, though the wood's physical properties as a material have not been in the main focus. Therefore, this study will carried out for analyzing MOE through figuring material property out and comparing frequency adapting to the Canadian HardMaple bat. For comparison of material properties, we studied the annual ring and density of the bat; calculated the MOE with resonance frequency and formula (ASTM C1259); and verified the repulsive force of this material. As a result, the relevance of the resonance frequency and annual ring is weak, and in comparison in the grain direction in wood, the MOE value is higher when the grain direction in wood is excited horizontally than when is excited vertically, because the material is repulsive when grain direction is horizontal.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.641
Threshold uncertainty score0.168

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.006
GPT teacher head0.219
Teacher spread0.213 · 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.

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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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