Optimization of gasoline engine emission parameters employing commercial and sucrolite-catalyst coated converter using response surface methodology

Sathyanarayanan, S.; Suresh, S.; Uslu, Samet; Shivaranjani, R. S.; Chandramohan, V.P.; Şimşek, Süleyman

doi:10.1007/s13762-022-03968-5

Cited by 22 publications

(2 citation statements)

References 40 publications

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“…The meaningful output of RSM's mathematical and statistical experiments is based on important factors. The method's primary goal is modelling and optimizing the outputs [29,45].…”

Section: Response Surface Methodologymentioning

confidence: 99%

Synthesis of Fe–Ni–TiO₂/activated carbon nanoparticles and evaluation of catalytic activity in a palm oil/diesel fuel blended diesel engine and optimization with RSM

Çalhan

Ergani

Uslu

2023

STET

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Although diesel engine emissions, which can pose serious risks to the environment and human health, can be reduced with biodiesel/diesel fuel blends, combining diesel fuel with an oxidation catalyst with a sizable oxygen storage capacity can more effectively reduce emissions from diesel engines. In this study, Fe–Ni–TiO2/Activated Carbon (AC) catalyst was produced and used as an oxidation catalyst. Experimental studies were performed on a four-stroke diesel engine by adding at numerous concentrations (0–50–100 ppm) Fe–Ni–TiO2/AC nanoparticles (NP) to the Palm Oil biodiesel (PO)-diesel fuel blend. Optimum conditions were determined by modelling the obtained data in response surface methodology (RSM). The Fe–Ni–TiO2/AC catalyst outcomes in a considerable decrease in hydrocarbon (HC), nitrogen oxides (NOx), carbon monoxide (CO), and smoke emissions. Optimization outcomes pointed out that the ideal diesel engine running requirements were determined to be 1750 W engine load, 100 ppm the NP amount, and 30% the PO ratio. Responses for these optimum conditions for Brake Specific Fuel Consumption (BSFC), Brake Thermal Efficiency (BTHE), CO, HC, NOx, and smoke were determined as 999.06 g/kWh, 27.07%, 0.032%, 40.63 ppm, 818.18 ppm, and 4.26%, respectively. The R2 values showed that the result obtained from the created model was in good agreement with the experimental results.

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“…The meaningful output of RSM's mathematical and statistical experiments is based on important factors. The method's primary goal is modelling and optimizing the outputs [29,45].…”

Section: Response Surface Methodologymentioning

confidence: 99%

Synthesis of Fe–Ni–TiO₂/activated carbon nanoparticles and evaluation of catalytic activity in a palm oil/diesel fuel blended diesel engine and optimization with RSM

Çalhan

Ergani

Uslu

2023

STET

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“…It can both develop and show a simple equation for the parameters to be optimised using a small amount of experimental data. Furthermore, it is an application that may use analysis of variance to determine the influence of working parameters on outputs (ANOVA) (S Uslu et al, 2022, S Sathyanarayanan et al, 2022. The RSM with DoE has been demonstrated to be an effective modelling technique.…”

Section: Rsm Model and Experimentationmentioning

confidence: 99%

Performance characteristics optimization of CRDI engine fuelled with a blend of sesame oil methyl ester and diesel fuel using response surface methodology approach

2023

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The primary aim of this experiment was to use response surface methodology (RSM) to optimize engine operating parameters for optimal performance and emission characteristics of a common rail direct injection (CRDI) diesel engine fuelled with sesame oil methyl ester (SOME)/diesel blends. The experiments were carried out on a water-cooled common rail direct injection engine with a 4-stroke, single-cylinder connected to an eddy current dynamometer. As input variables, the SOME% (0%–20%), fuel injection pressure (FIP) (500–600 bar), EGR rates (0%–14%), and engine load (0–12 kg) were used. The optimization method is utilized to maximize brake thermal efficiency (BTE) while minimizing BSFC, CO, HC, and NOx emissions. Experimental research data were used to create the RSM model through DoE (Design of experiments). The most relevant factors impacting the responses were identified using an ANOVA analysis. According to the optimization findings, the engine’s optimum working parameters were found to be a 20% SOME ratio, 577.5 bar FIP, 5.26% EGR rates, and 5.12 kg engine load. Under these operating circumstances, the optimal responses were determined to be 18.92% BTE, 0.3705 kg/kWh BSFC, 0.03190% vol. CO, 13 ppm HC, and 447.5 ppm NOx emission. At the same time, R2 values were 96.35%, 87.54%, 91.57%, 95.87%, and 93.73% for BTE, BSFC, CO, HC, and NOx respectively.

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NOx emission reduction in low viscous low cetane (LVLC) fuel using additives in CI engine: an experimental study

Sonthalia,

Varuvel,

Subramanian

et al. 2024

Clean Techn Environ Policy

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Optimization of gasoline engine emission parameters employing commercial and sucrolite-catalyst coated converter using response surface methodology

Cited by 22 publications

References 40 publications

Synthesis of Fe–Ni–TiO₂/activated carbon nanoparticles and evaluation of catalytic activity in a palm oil/diesel fuel blended diesel engine and optimization with RSM

Synthesis of Fe–Ni–TiO₂/activated carbon nanoparticles and evaluation of catalytic activity in a palm oil/diesel fuel blended diesel engine and optimization with RSM

Performance characteristics optimization of CRDI engine fuelled with a blend of sesame oil methyl ester and diesel fuel using response surface methodology approach

NOx emission reduction in low viscous low cetane (LVLC) fuel using additives in CI engine: an experimental study

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Optimization of gasoline engine emission parameters employing commercial and sucrolite-catalyst coated converter using response surface methodology

Cited by 22 publications

References 40 publications

Synthesis of Fe–Ni–TiO2/activated carbon nanoparticles and evaluation of catalytic activity in a palm oil/diesel fuel blended diesel engine and optimization with RSM

Synthesis of Fe–Ni–TiO2/activated carbon nanoparticles and evaluation of catalytic activity in a palm oil/diesel fuel blended diesel engine and optimization with RSM

Performance characteristics optimization of CRDI engine fuelled with a blend of sesame oil methyl ester and diesel fuel using response surface methodology approach

NOx emission reduction in low viscous low cetane (LVLC) fuel using additives in CI engine: an experimental study

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Product

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Synthesis of Fe–Ni–TiO₂/activated carbon nanoparticles and evaluation of catalytic activity in a palm oil/diesel fuel blended diesel engine and optimization with RSM

Synthesis of Fe–Ni–TiO₂/activated carbon nanoparticles and evaluation of catalytic activity in a palm oil/diesel fuel blended diesel engine and optimization with RSM