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Record W2616496519 · doi:10.1109/apec.2017.7931025

A cost effective magnetic/electronic design for the water pump application drive: Analysis, design, and experimentation

2017· article· en· W2616496519 on OpenAlexaff
Ahmed Abdelrahman, Mohamed Z. Youssef

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectric Motor Design and Analysis
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsPrinted circuit boardDC motorComputer scienceMagnetic circuitSoftwareVoltageMagnetPower (physics)Battery (electricity)Automotive engineeringElectrical engineeringEngineering

Abstract

fetched live from OpenAlex

In this paper, a thorough design for a cost effective BLDC drive in a water pump application has been performed. The novelty of this study can be interpreted in two facets. Firstly, a simple two-layer printed circuit board has been used to implement the sensor-less control of a brushless direct current machine. This new printed circuit board provides power and control voltages, thus eliminates the need for a control battery. Secondly, the brushless DC (BLDC) motor laminations have been manufactured in the same way using the same ferrite materials as existed in the conventional induction motor instead of using permanent magnet material which affects the total cost drastically. A detailed finite-element analysis has been executed through ANSOFT Maxwell's software and then an experimental verification has been carried out for the proposed drive. The overall wire to water efficiency in addition to the BLDC motor one was found to be increased simultaneously with a significant cost reduction for the proposed design.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.985
Threshold uncertainty score0.311

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 head0.013
GPT teacher head0.262
Teacher spread0.249 · 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 designSimulation or modeling
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

Citations4
Published2017
Admission routes1
Has abstractyes

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