Evidence map›Paper›PMID 42799395›Full record

ArticleACS omega2026

Experimental Investigation of Changes in Performance, Emissions, and Engine Vibration in Diesel Engines Using Four Fuel Combinations of Diesel, Biodiesel, Octanol, and Hydrogen.

Volkan Sabri Kül, Mehmet Parlak, Mehmet Sarıtaş, Selahaddin Orhan Akansu

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Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Volkan Sabri KülGraduate School of Natural and Applied Sciences, (Department of Mechanical Engineering), Erciyes University, Kayseri 38280, Turkey.ORCID https://orcid.org/0000-0002-6412-6062
Mehmet ParlakDepartment of Mechanical Engineering, Erciyes University, Kayseri 38280, Turkey.
Mehmet SarıtaşGraduate School of Natural and Applied Sciences, (Department of Mechanical Engineering), Erciyes University, Kayseri 38280, Turkey.
Selahaddin Orhan AkansuDepartment of Mechanical Engineering, Erciyes University, Kayseri 38280, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Energy efficiency is a vital concept in our modern world. The most efficient use of energy resources is crucial for sustainability. A significant portion of global energy consumption is attributed to the transportation sector. The efficient operation of internal combustion engines, which power the transportation sector, and the efficiency of the fuels they use are becoming increasingly important. Therefore, researchers continue their work to improve fuel efficiency and find alternative fuels. In this study, test fuels created from four-fuel combinations of diesel, biodiesel (obtained from a mixture of 10% spent coffee grounds oil and 90% waste cooking oil), octanol, and hydrogen were investigated at 150 N m (half load) and 300 N m (full load) to improve engine performance and emissions. The effect of the test fuels on engine vibrations was also examined using accelerometer sensors positioned on the horizontal and vertical axes of the diesel engine. Since this four-fuel combination and the investigation of its effects on engine vibration are very rare in the literature, this study fills an important gap. The main objective of this study was to investigate the impact of octanol and biodiesel blends with hydrogen reinforcement on engine performance, vibrations, and emissions. The study results showed that the highest brake thermal efficiency values were obtained with the D90O10 mixture at both low and high loads. The D90O10 test fuel achieved thermal efficiency of 27.45% at 150 N m load and 33.72% at 300 N m load. These values are higher than those of D100 (BTE; 26.43% at 150 N m load and 33.24% at 300 N m load). The most important finding of this study is that the addition of 10% octanol to pure diesel fuel increases thermal efficiency. Among the important findings regarding vibration, it is the fact that blended fuels containing biodiesel reduce vibration at low loads (150 N m) compared to pure diesel fuel. While the combined vibration of D100 at 150 N m is 51.861 mm/s

Identifiers

PMID42799395
PMCPMC13613946

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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.