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Record W2485521888 · doi:10.1109/itec-ap.2016.7512955

A cost effective BLDC drive for the water pump application: Analysis, design, and experimentation

2016· article· en· W2485521888 on OpenAlexaff
Ahmed Abdelrahman, Mohamed Hamouda, Mohamed Z. Youssef

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectric Motor Design and Analysis
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsTorqueFinite element methodBattery (electricity)DC motorPrinted circuit boardVoltagePower (physics)Computer scienceSoftwareAutomotive engineeringEngineeringElectrical engineering

Abstract

fetched live from OpenAlex

In this paper, novel magnetic calculations for a cost effective Brushless DC motor (BLDC) drive in a water pump application was carried out using finite element method (FEM). The sensorless control of (BLDC), which provides a minimal pulsating torque, was implemented using a simple two-layer printed circuit board (PCB). The new PCB provides power and control voltages, thus eliminates the need for a control battery. Simulation was performed using ANSOFT software and then being verified experimentally. The results have shown that the motor efficiency is 99% with an overall cost of $68 USD. Moreover, the wire to water (overall) efficiency is 56% compared to the market based of 37%.

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)0.000
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: Methods · Consensus signal: none
Teacher disagreement score0.991
Threshold uncertainty score0.130

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 head0.011
GPT teacher head0.244
Teacher spread0.233 · 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
GenreMethods

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

Citations9
Published2016
Admission routes1
Has abstractyes

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