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Design and implementation of a constant current driving circuit for high stability fiber optic device

2025· article· en· W6924995526 on OpenAlexaff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2025
Typearticle
Languageen
FieldEngineering
TopicCombustion and flame dynamics
Canadian institutionsTerahertz Technology Solutions (Canada)
Fundersnot available
KeywordsOvercurrentInrush currentCurrent limitingCurrent (fluid)Power (physics)LED circuitConstant currentTransistorLaserConstant power circuit

Abstract

fetched live from OpenAlex

The stability of the wavelength and output power of the fiber laser is susceptible to fluctuations in the pump drive current, and a high-precision, high-stability constant-current drive system has been designed to cope with this problem. The constant current source part adopts the closed-loop negative feedback principle to control the consistent current output through the Metal-Oxide-Semiconductor Field-Effect Transistor (MOSFET), realizing the precise control of the semiconductor laser (LD) drive current. The current-limiting protection circuit protects the LD from overcurrent shocks by utilizing the diode's limiting effect, and the current slow start uses a software-controlled method to protect LD from inrush current damage. The ADA4530 chip is used in the optical power detection circuit to ensure accurate detection of power output even at deficient light levels. The experimental results show that the circuit can achieve continuous adjustment of the drive current from 0 A to 1.2 A, with short-term (120 min) and long-term (24 h) current stability of 0.001 mA and 0.002 mA, respectively. The wavelength fluctuation of the laser center does not exceed 0.03 nm, and the stability of the output power does not exceed 0.084 3%, with an accuracy of less than ±0.15 mW.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.474
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.178
GPT teacher head0.505
Teacher spread0.327 · 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 designObservational
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

Citations0
Published2025
Admission routes1
Has abstractyes

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