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Record W7045125590

Active vibration isolation of machine tools using an electro-hydraulic actuator: Presentation held at International Conference on Virtual Machining Process Technology, 2.-5. Juni 2015, Vancouver, VMPT 2015

2015· other· en· W7045125590 on OpenAlexaboutno aff

Bibliographic record

VenueFraunhofer-Publica (Fraunhofer-Gesellschaft) · 2015
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionTSG101ProteogenomicsDiafiltrationFusible alloyHyporeflexia
DOInot available

Abstract

fetched live from OpenAlex

This paper reports on a novel electro-hydraulic actuator that attenuates and isolates ground motion to keep dynamic excitations transmitted to machine tools below permissible levels. The first part describes the working principle of the actuator. The actuator is a classic example of a valve-controlled piston. Flow to the actuator is regulated to move the actuator and the machine that the actuator supports to compensate for ground motion experienced by the machine. Dynamics of this electro-hydraulic actuator are described in the second part of the paper. The third part describes experimental characterization of a physical prototype to identify unknown system parameters. Experimentally updated model is coupled to a virtual model of a flexible machine tool in the fourth part. Simulation driven investigations for the controlled transmissibility show the actuator to be effective in a frequency range of 1 – 100 Hz with case specific attenuations ranging from 5 – 25 dB. The actuator is designed with a high passive stiffness to support inertial loads of the machine. The device can be operated on demand when high precision is required, making it an energy efficient solution.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.639
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0070.004
Science and technology studies0.0010.001
Scholarly communication0.0010.005
Open science0.0040.001
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0090.002

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 head0.043
GPT teacher head0.343
Teacher spread0.300 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2015
Admission routes1
Has abstractyes

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