Effects of high-dosage copper oxide nanoparticles addition in diesel fuel on engine characteristics

Ağbulut, Ümit; Sarıdemir, Suat; Rajak, Upendra; Polat, Fikret; Afzal, Asif; Verma, Tikendra Nath

doi:10.1016/j.energy.2021.120611

Cited by 80 publications

(28 citation statements)

References 59 publications

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“…R-squared" values 0.9801 and 0.9996, respectively, is almost good with each other. "Adequate precision" is described as the ratio of signal and noise factors that should be greater than 4 [68][69][70][71][72]. According to Table 2, the ratio of both models is 203.273 and 34.722, indicating satisfactory signals.…”

Section: Resultsmentioning

confidence: 99%

An Experimental Study of ZrO₂‐CeO₂ Hybrid Nanofluid and Response Surface Methodology for the Prediction of Heat Transfer Performance: The New Correlations

Vidhya

Balakrishnan

Kumar³

et al. 2022

Journal of Nanomaterials

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This article experimentally and statistically reports the convective heat transfer performance of a cylindrical mesh-type heat pipe apparatus filled with ZrO2-CeO2/water-ethylene glycol nanofluids. In this regard, ZrO2-CeO2 nanoparticles were synthesized and characterized through the Scanning Electron Microscope and Powder X-ray diffraction methods followed by the preparation of hybrid ZrO2-CeO2 nanofluids of various concentrations ranging from 0.025 to 0.1%. The heat transfer features of a tubular heat pipe with a mixture of the ZrO2-CeO2 nanofluid were evaluated. A 5.33% decrease in thermal resistance value and a 41.16% increase in heat transfer ability with increased power input were observed. The potent regression models were proposed to estimate heat transfer features of the heat pipe. The ANOVA statistical method has been employed to determine the P value and the F value of the models towards enhancing the reliability and accuracy of the developed models. The outcome revealed that the proposed models are reliable and have the best fit with the experimental data for 30–60 W power. The correlations’ results were validated against the experimental data and showed high accuracy. Moreover, the accuracy of the developed models was ensured through R -squared and adjusted R -squared values.

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Section: Resultsmentioning

confidence: 99%

An Experimental Study of ZrO₂‐CeO₂ Hybrid Nanofluid and Response Surface Methodology for the Prediction of Heat Transfer Performance: The New Correlations

Vidhya

Balakrishnan

Kumar³

et al. 2022

Journal of Nanomaterials

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“…The HC, CO, and NOx emission was reduced by 13.4%, 20.8%, and 4.7% respectively, when the engine was run with 2000 ppm when compared with 1000 ppm of nanaoparticle. The 2000 ppm of nanoparticle induced in the engine the BTE is increased by 14.6% when compared with 1000 ppm of nanoparticle 9 …”

Section: Introductionmentioning

confidence: 95%

“…The 2000 ppm of nanoparticle induced in the engine the BTE is increased by 14.6% when compared with 1000 ppm of nanoparticle. 9 In another study, 10 the fish oil alkyl ester is biodiesel and mixed with the graphene quantum dot nanoparticles. The blend B10 is taken default and mixed with various percentages of ethanol, and added with nanoparticles at a dosage of 30 ppm.…”

Section: Introductionmentioning

confidence: 99%

Artificial neural networks model for predicting the behavior of different injection pressure characteristics powered by blend of biofuel‐nano emulsion

Venkatesan

Moorthy²,

Parthasarathy

et al. 2022

Energy Science & Engineering

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This investigation deals with the usage of graphene oxide (GO) nanoparticles with orange peel biodiesel in a conventional CI engine. The different fuel blends used for this experiment are biodiesel 10% + diesel 80% + ethanol 5% + surfactant 5% + GO 50 ppm (B10), biodiesel 20% + diesel 70% + ethanol 5% + surfactant 5% + GO 50 ppm (B20), biodiesel 50% + diesel 40% + ethanol 5% + surfactant 5% + GO 50 ppm (B50) and B100. The addition of ethanol has dual benefits for improving the vaporization of fuel blends and reduction of oxides of nitrogen (NOx) emission. Span80 and Tween80 were chosen as surfactants based on hydrophilic-lipophilic balance numbers. It is useful for improving the homogeneity of immiscible fuel blends. From this study, the injection pressure (IP) was varied from 180, 200 to 220 bar for better atomization characteristics of nano additive biodiesel blend. The experimental results indicated that an increase in the percentages of biodiesel beyond 20% in the blend, NOx increases, and hydrocarbon (HC) and carbon dioxide (CO) emissions were found to be decreased. It is also observed that the highest brake thermal efficiency (BTE) was found for fuel 20 at

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“…The cost-competitiveness, scalability, and dependability of 2D nanomaterial synthesis, the technological and industrial readiness of value chains, and sociopolitical considerations, legislation, and industrial development policies are three major concerns that are most likely to impact 2D nanomaterial's industrial uptake [128]. There are several other studies related to nanomaterial usage in different fields which can be referred in [134][135][136][137][138][139][140][141][142][143][144][145][146][147][148].…”

Section: Graphene Production Market Trend and Commercialization Obsta...mentioning

confidence: 99%

A Review on Environmental and Economic Impact of 2D Nanomaterials‐Based Heat Transfer Fluids

Shaik

Goyal

et al. 2022

Journal of Nanomaterials

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2D nanomaterials-based heat transfer fluids show excellent thermal properties due to their large specific surface area; hence, they find large-scale applications in automobile industries and cooling processes. Therefore, it is very essential to study the environmental and economic aspects of these 2D nanomaterial-based nanofluids. In this review, we have discussed the environmental impact of 2D nanomaterial-based heat transfer nanofluids under various conditions. The environmental impact analysis of these materials has shown excellent capability in reducing the energy consumption for heat transfer operations. Moreover, the possibility of nanomaterials and base fluid recovery makes it a sustainable alternative. In addition, health risk assessment on humans, cytotoxicity, and life cycle analysis have also been explored. The price-performance index has been successfully used to study the economic impact of 2D nanomaterial-based heat transfer fluids. The overall economic impact of 2D nanomaterial-based heat transfer nanofluids provides an optimistic perspective over conventional heat transfer fluids. Moreover, graphene production, market trend, and commercialization obstacles were also discussed.

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Effects of high-dosage copper oxide nanoparticles addition in diesel fuel on engine characteristics

Cited by 80 publications

References 59 publications

An Experimental Study of ZrO₂‐CeO₂ Hybrid Nanofluid and Response Surface Methodology for the Prediction of Heat Transfer Performance: The New Correlations

An Experimental Study of ZrO₂‐CeO₂ Hybrid Nanofluid and Response Surface Methodology for the Prediction of Heat Transfer Performance: The New Correlations

Artificial neural networks model for predicting the behavior of different injection pressure characteristics powered by blend of biofuel‐nano emulsion

A Review on Environmental and Economic Impact of 2D Nanomaterials‐Based Heat Transfer Fluids

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Effects of high-dosage copper oxide nanoparticles addition in diesel fuel on engine characteristics

Cited by 80 publications

References 59 publications

An Experimental Study of ZrO2‐CeO2 Hybrid Nanofluid and Response Surface Methodology for the Prediction of Heat Transfer Performance: The New Correlations

An Experimental Study of ZrO2‐CeO2 Hybrid Nanofluid and Response Surface Methodology for the Prediction of Heat Transfer Performance: The New Correlations

Artificial neural networks model for predicting the behavior of different injection pressure characteristics powered by blend of biofuel‐nano emulsion

A Review on Environmental and Economic Impact of 2D Nanomaterials‐Based Heat Transfer Fluids

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Product

Resources

About

An Experimental Study of ZrO₂‐CeO₂ Hybrid Nanofluid and Response Surface Methodology for the Prediction of Heat Transfer Performance: The New Correlations

An Experimental Study of ZrO₂‐CeO₂ Hybrid Nanofluid and Response Surface Methodology for the Prediction of Heat Transfer Performance: The New Correlations