INFLUENCE OF ZnO, Al2O3, CeO2 NANOPARTICLE-ADDED JULIFLORA BIODIESEL HRF ON RCCI ENGINE’S PERFORMANCE

Ramachandran Manivannan and Neelakrishnan Subramanyan ()
Additional contact information
Ramachandran Manivannan: Department Automobile Engineering, Nachimuthu Polytechnic College, Pollachi, Tamil Nadu-642003, India
Neelakrishnan Subramanyan: ��Department Automobile Engineering, PSG College of Technology, Coimbatore, Tamil Nadu-641004, India

Surface Review and Letters (SRL), 2024, vol. 31, issue 07, 1-14

Abstract: The increase in demand for petroleum fuels attracted the attention of the research community to identify a control measure for petroleum source depletion. On the other hand, the heavy usage and burning of petroleum products cause environmental pollutants like oxides of nitrogen, carbon monoxide, hydrocarbons, etc. Therefore, it is important to control all the problems caused by the increasing use of petroleum products, such as diesel, petrol, Kerosene, fuel oil, etc. This investigation aims to reduce the usage of fossil-based petroleum diesel by producing an effective substitute bio-diesel from Juliflora seeds, which exhibit similar properties to diesel. Furthermore, the operational and emission behaviors of the biodiesel in the Reactive Controlled Compression Ignition (RCCI) engine are analyzed by including nanoadditives such as ZnO, Al2O3 and CeO2. Furthermore, the obtained performance and emission results are optimized using a hybrid deep neural network (DNN) using the Aquila optimization algorithm (AOA). The algorithm chooses the diesel-biodiesel blend with 75 ppm of alumina nanoparticle as the optimum blend. This considered blend provided better performance and emission results at 72.86% loading condition. The obtained results are 28.19% for brake thermal efficiency (BTE), 446.14 g/kWh for brake-specific fuel consumption, 0.105% for carbon monoxide emission, 19.82 ppm of unburnt hydrocarbon, 457 ppm of NOx emission and 21.98% of smoke emission.

Keywords: Reactive controlled compression ignition engine; Juliflora biodiesel; nanoadditives; zinc oxide; alumina; cerium oxide; deep neural network-Aquila optimization algorithm (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0218625X24500574
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:srlxxx:v:31:y:2024:i:07:n:s0218625x24500574

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0218625X24500574

Access Statistics for this article

Surface Review and Letters (SRL) is currently edited by S Y Tong

More articles in Surface Review and Letters (SRL) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().