Evidence map›Paper›PMID 39720033›Full record

ArticleHeliyon2024

Application of AVL BOOST modeling to optimize the engine working load and drivetrain transmission ratio of the diesel firefighting pump system.

Thong Duc Hong, Binh Nhat Nguyen, Phat Tan Truong, Son Hoang Do, Minh Quang Pham, Thang Viet Vu

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Thong Duc HongFaculty of Transportation Engineering, Ho Chi Minh City University of Technology (HCMUT), Ho Chi Minh City, Viet Nam.
Binh Nhat NguyenFaculty of Transportation Engineering, Ho Chi Minh City University of Technology (HCMUT), Ho Chi Minh City, Viet Nam.
Phat Tan TruongFaculty of Transportation Engineering, Ho Chi Minh City University of Technology (HCMUT), Ho Chi Minh City, Viet Nam.
Son Hoang DoFaculty of Transportation Engineering, Ho Chi Minh City University of Technology (HCMUT), Ho Chi Minh City, Viet Nam.
Minh Quang PhamFaculty of Transportation Engineering, Ho Chi Minh City University of Technology (HCMUT), Ho Chi Minh City, Viet Nam.
Thang Viet VuFaculty of Transportation Engineering, Ho Chi Minh City University of Technology (HCMUT), Ho Chi Minh City, Viet Nam.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The drivetrain is an essential component of the diesel firefighting pump system, affecting the engine's operating mode, power, economy, and environment. This study proposes a process to design and optimize the transmission ratio and working load of the diesel firefighting pump system. AVL BOOST software was used to model the 6-cylinder diesel engine and analyze the performance characteristics at its partial loads as parameters for finding the optimal transmission ratio of the drivetrain. The optimal transmission ratio determined in this work is 1:1.2, along with engine partial load mode of 57 %, which can improve the engine's fuel efficiency by 8 % compared to the 1:1 transmission ratio. A belt drive is calculated and designed to transfer power between the engine and the firefighting pump. The optimal drivetrain transmission ratio and engine working mode can increase the fuel economy and lifespan of the engine, decrease the engine's maintenance costs, and reduce environmental pollution and greenhouse gases.

Indexed as

AVL BOOSTBelt driveDrivetrain designEngine performance characteristicsFirefighting pumpTransmission ratio

Identifiers

PMID39720033
PMCPMC11665454

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.