Evidence map›Paper›PMID 40730579›Full record

ArticleScientific reports2025

Sustainable RCCI engine operation with an ANN based novel tri-fuel approach.

P V Elumalai, Chin-Shiuh Shieh, M Sreenivasa Reddy, S Rama Sree, Shashikumar Krishnan

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

5 authors.

P V ElumalaiDepartment of Mechanical Engineering, Aditya University, Surampalem, AP, India. elumlalaimech89@gmail.com.
Chin-Shiuh ShiehDepartment of Electronic Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan.
M Sreenivasa ReddyDepartment of Mechanical Engineering, Aditya University, Surampalem, AP, India.
S Rama SreeDepartment of Computer Science and Engineering, Aditya University, Surampalem, Andhra Pradesh, India.
Shashikumar KrishnanFaculty of Artificial Intellignece and Engineering (FAIE), Multimedia University, Persiaran Multimedia, 63100, Cyberjaya, Selangor, Malaysia. shashikumar@mmu.edu.my.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research delves into a novel tri-fuel RCCI engine strategy that uses diesel as the base fuel, biodiesel from Andropogon narudus, and hydrogen as a reactivity promoter to enhance combustion efficiency and enhance environmental sustainability. The tested blends, BD80H20 and BD70H30, showed a 3-5% improvement in Brake Thermal Efficiency (BTE) compared to conventional diesel at full load operation. Hydrogen-rich blends recorded a 5-8% brake-specific fuel economy improvement over diesel and B20 at both 75% and 100% engine loads. The biodiesel has made a substantial reduction in hydrocarbon (HC) and carbon monoxide (CO) emissions. Specifically, B20 recorded a 15% decrease in HC and 12% decrease in CO emission compared to straight diesel, while hydrogen blends register another decrease of 20-25% in CO emissions. The addition of hydrogen resulted in a rough estimate of 10-15% increase in the emissions of carbon dioxide (CO

Indexed as

ANNMachine learning algorithmsPugh matrixRCCI engineSustainability assessmentTri-fuel approach

Identifiers

PMID40730579
PMCPMC12307600

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.