A cleaner approach towards magnetically assisted-electrolysis of biodiesel production using novel MnFe2O4@sawdust derived biochar nanocatalyst and its performance on a CI engine

Energy Conversion and Management, Год журнала: 2023, Номер 299, С. 117829 - 117829

Опубликована: Ноя. 4, 2023

Язык: Английский

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Experimental investigation of ternary biodiesel blends combustion in a diesel engine to reduce emissions

Energy Conversion and Management X, Год журнала: 2023, Номер 20, С. 100499 - 100499

Опубликована: Окт. 1, 2023

The study presents an experimental investigation of two new ternary biodiesel blends, namely, ManCr_Pa (a mixture Mandarin, Crambe and paraffin as additive) AvBn_Pa (mix Avocado, Bush nut paraffin) by modifying the critical fuel properties closer to diesel fuel. Those blends' performance, emission combustion characteristics were compared with typical B5 blends at same engine conditions. result reveals that high rpm, exhibited nearly similar performance a significant reduction carbon monoxide (33.3%), hydrocarbons (33.3 73.3%) particulate matter (17.8 28.8%). For instance, brake power (BP), mean effective pressure (BMEP), thermal efficiency (BTE) slightly decreased 0.25 0.38, 0.27 0.42 0.04%, respectively, whereas specific consumption (BSFC) increased 0.52%. also demonstrated behaviour, i.e. heat release rate (HRR) full load Compared blend, modified showed better substantial emissions. Interestingly, lower NOx emissions than blend. concluded newly developed are superior ordinary closely performing standard diesel. results this have important implications for using these substitutes while realising benefits.

Язык: Английский

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Optimisation of an experimental and feasibility research on a CRDI diesel engine based on a blend of waste cooking oil and waste plastic oil using RSM: A value addition for disposed waste oil

Journal of the Energy Institute, Год журнала: 2024, Номер 117, С. 101564 - 101564

Опубликована: Фев. 15, 2024

Язык: Английский

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Investigation of nanoparticle (Fe3O4) addition to 3rd generation biodiesel (spirulina microalgae)/diesel mixture as an innovative fuel according to different engine variables: An RSM optimization

Energy Conversion and Management, Год журнала: 2024, Номер 310, С. 118481 - 118481

Опубликована: Май 2, 2024

Язык: Английский

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Synergistic effects of hybrid nanoparticles along with conventional fuel on engine performance, combustion, and environmental characteristics

Energy, Год журнала: 2024, Номер 292, С. 130267 - 130267

Опубликована: Янв. 25, 2024

Язык: Английский

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Effective utilization of waste plastic derived fuel in CI engine using multi objective optimization through RSM

Fuel, Год журнала: 2023, Номер 355, С. 129448 - 129448

Опубликована: Авг. 11, 2023

Язык: Английский

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Enhancing performance, and combustion efficiency, and reducing tailpipe emissions of an engine fuelled with hydrogen-enriched diesel and ethanol blends at varying CRs using RSM

International Journal of Hydrogen Energy, Год журнала: 2024, Номер 92, С. 1236 - 1247

Опубликована: Окт. 31, 2024

Язык: Английский

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Modified banana peel biochar-based green nanocatalyst for biodiesel production and its utilization to improve diesel engine performance and emission

Process Safety and Environmental Protection, Год журнала: 2024, Номер 191, С. 1617 - 1632

Опубликована: Сен. 3, 2024

Язык: Английский

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Experimental investigation of the ignition dynamics in a premixed annular combustor using a pre-chamber ignition system

Energy Conversion and Management X, Год журнала: 2024, Номер 24, С. 100754 - 100754

Опубликована: Окт. 1, 2024

Язык: Английский

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Unleashing the future of wind energy systems using SiO ₂ and TiO ₂ based insulation: A deep dive into Artificial Intelligence and Response Surface Methodology

Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science, Год журнала: 2025, Номер unknown

Опубликована: Апрель 11, 2025

This study presents the design and optimization of an induction generator for wind energy system applications. Artificial neural networks (ANNs) with feedforward backpropagation response surface methodology (RSM) are widely used modeling complex engineering processes. In this work, wt.%, stirring speed, time were optimized using ANN RSM to achieve desired response. The developed models demonstrated high predictive accuracy, significant R 2 values 0.9982 model 0.99686 model. For SiO samples, optimal parameters determined as wt.% 2.15, speed 617, 16, while TiO optimum 6.96, 823, 20. parameter is crucial it directly affects components’ properties, which affect efficiency reliability power conversion. improved material properties make generators more effective applications because they reduce loss enhance durability. These findings provide a systematic approach improving selection processing parameters, contributing enhanced performance in serve valuable tools optimizing design, ultimately supporting reliable efficient renewable systems. dependability by essential raising effectiveness sustainability results suggest methodical electrical performance, enriches technology energy.

Язык: Английский

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