Evidence map›Paper›PMID 36312352›Full record

ArticleACS omega2022

Investigation of Combustion of the Gas Turbine Engine from Kerosene and Biokerosene and Their Soot Characteristics in Diffusion Flames.

Thong D Hong, Iman K Reksowardojo, Tatang H Soerawidjaja, Osamu Fujita

Abstract read
In one paragraph

Article in ACS omega, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Thong D HongFaculty of Transportation Engineering, Ho Chi Minh City University of Technology (HCMUT), 268 Ly Thuong Kiet Street, District 10, Ho Chi Minh City 700000, Vietnam.ORCID https://orcid.org/0000-0002-8010-5851
Iman K ReksowardojoCombustion Engines and Propulsion Systems Laboratory, Faculty of Mechanical and Aerospace Engineering, Institut Teknologi Bandung, Bandung 40132, Indonesia.
Tatang H SoerawidjajaDepartment of Chemical Engineering, Faculty of Industrial Technology, Institut Teknologi Bandung, Bandung 40132, Indonesia.
Osamu FujitaDivision of Mechanical and Space Engineering, Hokkaido University, Sapporo 060-8628, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Performances, emissions from the gas turbine engine, and soot formations in diffusion flames of kerosene (Jet A1) and its mixture with 5% by volume bioparaffins (known as BK-5) are reported in the present study. A Rover 1S/60 gas turbine engine was used for recording performance parameters and emissions. Soot characteristics were investigated in smoke-free coannular wick-fed diffusion flames. This study is the next step that must be performed in the certification process of a new aviation biofuel before it is tested in the aircraft. The results show that BK-5 produced a similar performance against Jet A1. Throughout the whole power range under investigation, BK-5 emitted 3.4% NOx higher than Jet A1, while Jet A1 released CO and HC at the rates that are, respectively, 1.8 and 4.5% greater than its counterpart. The soot emissions from the BK-5 and Jet A1 were comparable across the measured flame height range. The results encouraged future studies to carry out the modern engine and flight tests. The production process for bioparaffins employed in this work has been demonstrated to be viable and appropriate for tropical developing nations. The current process should also continue to be improved by eliminating high-distillation temperature components in bioparaffins.

Identifiers

PMID36312352
PMCPMC9609064

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.