RSM based parameter optimization of CI engine fuelled with nickel oxide dosed Azadirachta indica methyl ester

Srinidhi, Campli; Madhusudhan, A.; Channapattana, S. V.; Gawali, Shivaji V.; Aithal, Kiran

doi:10.1016/j.energy.2021.121282

Cited by 52 publications

(41 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…e presence of these dissolved metal oxide nanoparticles enhances combustion by promoting cleaner combustion and reducing ignition delay. Consequently, the engine-specific consumption is reduced [11,12].…”

Section: Introductionmentioning

confidence: 99%

Influences of Aqueous Nanofluid Emulsion on Diesel Engine Performance, Combustion, and Emission: IoT (Emission Monitoring System)

Venkatesh¹,

Babu²,

Mathivanan

et al. 2022

Advances in Materials Science and Engineering

View full text Add to dashboard Cite

Pollution is the primary ecological threat to nature and it also raises the temperature of the Earth. The primary cause of air pollution is exhaust emissions from the combustion chamber. This study aims to focus on controlling emissions using an aqueous nanoemulsion method and to analyze positive vibrations for the reduction of pollutants in diesel engines. In this study 3% NWED (nano-based water emulsion diesel), 7% NWED, and 12% NWED emulsion blended diesel were mixed with Tween-20 as a solvent. In addition, this work was accomplished with a multiuser remote control system for the continuous monitoring of emissions with IoT technology applied to diesel engines. Experimental results have been measured with an IoT kit and five gas analyzers and reported that emission of oxides of nitrogen and hydrocarbons can be reduced by using a 7% NWED blend when compared with diesel. In addition, the experimental result also shows that the brake-specific fuel consumption is reduced with an improvement in thermal efficiency at 7% NWED when compared with other blends.

show abstract

Section: Introductionmentioning

confidence: 99%

Influences of Aqueous Nanofluid Emulsion on Diesel Engine Performance, Combustion, and Emission: IoT (Emission Monitoring System)

Venkatesh¹,

Babu²,

Mathivanan

et al. 2022

Advances in Materials Science and Engineering

View full text Add to dashboard Cite

show abstract

“…Laboratory trials combined with forecasting modeling and optimization offer a novel and effective method for examining complicated multivariable systems that could save time and money. 20,21 Hereof, several statistical and artificial intelligence (AI)based modeling techniques viz., response surface methodology (RSM), 22 support vector regression (SVR), 23,24 and boosted regression tree (BRT) 25 are familiar for the assessment of process with high precision and competence. Notably, RSM is a statistical technique that liaisons between the input and output variables.…”

Section: Introductionmentioning

confidence: 99%

Artificial intelligence‐based super learner approach for prediction and optimization of biodiesel synthesis—A case of waste utilization

Hossain

Sultana

Irfan

et al. 2022

Intl J of Energy Research

View full text Add to dashboard Cite

“…[6][7][8][9][10][11] Moreover, it is evident from literature and concluded from a detailed study that nano-catalysts provide better conversion and yield for biodiesel conversion than conventional heterogeneous catalysts with better optimum conditions. [12][13][14][15][16][17] The studies have also revealed that the additive with biodiesel fuel mixtures augments the engine combustion characteristics and reduces the emissions; moreover due to nano-catalytic effects, raised CO 2 emissions and minimal O 2 emissions are also pellucid from studies made on biodiesels obtained from high FFA oils using inorganic nano-catalysts. 1,18 A concise overview of several nano-catalysts used so far for production of biodiesel has been tabulated in Table 1.…”

Section: Introductionmentioning

confidence: 99%

Pongamia pinnata biodiesel production using cobalt doped ZnO nanoparticles—An analytical study

Pandya

Banka

Parikh

2022

Env Prog and Sustain Energy

View full text Add to dashboard Cite

Karanja is second most popular non‐edible oil, in Indian sub‐continent, for Biodiesel production; with current plantation, almost 55,000 ton/year of oil can be extracted. Also, studies in past two decades have elucidated that use of heterogeneous solid catalyst has been commercially most viable, economical, produces almost pure biodiesel, easy to use, recycle and environment friendly. In this paper, we have used cobalt doped zinc oxide (CZO) nanoparticles for dual step esterification—transesterification processes, which has not been studied for Karanja oil, additionally, the detailed analytical study such as X‐ray diffraction, field emission scanning electron microscope, Brunauer–Emmett–Teller and energy‐dispersive analysis of X‐rays on catalyst unavailable in literature, has also been incorporated here. The CZO particles are synthesized using co‐precipitation method and yields particles of size ~75 nm, the reusability of catalyst is also included. The optimum process parameters where experimentally determined and compositional analysis of oil and biodiesel is done using Fourier transformed infrared. The economic and technical aspects of CZO synthesis, the benefits of easy separation of glycerol and reduced impurities in final product, make this process commercially more suitable for Karanja oil biodiesel synthesis, and study will promote use of CZO nanoparticles for other oil biodiesel production too. Result shows that under optimized condition of transesterification, 1:25 M ratio of oil:methanol, 0.3 wt% catalytic concentration, 70°C reaction temperature, 180 min time of reaction and 500 rpm of stirring speed fatty acid methyl ester (biodiesel) conversion was 98.5 ± 0.5%.

show abstract

RSM based parameter optimization of CI engine fuelled with nickel oxide dosed Azadirachta indica methyl ester

Cited by 52 publications

References 43 publications

Influences of Aqueous Nanofluid Emulsion on Diesel Engine Performance, Combustion, and Emission: IoT (Emission Monitoring System)

Influences of Aqueous Nanofluid Emulsion on Diesel Engine Performance, Combustion, and Emission: IoT (Emission Monitoring System)

Artificial intelligence‐based super learner approach for prediction and optimization of biodiesel synthesis—A case of waste utilization

Pongamia pinnata biodiesel production using cobalt doped ZnO nanoparticles—An analytical study

Contact Info

Product

Resources

About