Mechanical and corrosion properties of brass exposed to waste sunflower oil biodiesel-diesel fuel blends

Samuel, Olusegun David; Gülüm, Mert

doi:10.1080/00986445.2018.1519508

Cited by 64 publications

(43 citation statements)

References 68 publications

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“…The KVs of TSOME (3.87 mm/s 2 ) agreed with the ranges of ASTM D6751 (1.9-6.0 mm 2 /s) and EN14214 (3.5-5.0 mm 2 /s), however, it was higher than that of fossil diesel (3.61 mm 2 /s). Fuels with modest values of KVs will safeguard complete combustion requiring to enhance engine power and reduction in the exhaust emission profile (Samuel and Gulum, 2019). Flash point (FLAP) of TSOME (126°C) is higher than that of diesel fuel (75°C), and it certified the safety requirements for both international standards.…”

Section: Fuel Properties Of Tsome Producedmentioning

confidence: 99%

Modelling of Nicotiana Tabacum L. Oil Biodiesel Production: Comparison of ANN and ANFIS

et al. 2021

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Among the modern computational techniques, Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) are preferred because of their ability to deal with non-linear modelling and complex stochastic dataset. Nondeterministic models involve some computational complexities while solving real-life problems but would always produce better outcomes. For the first time, this study utilized the ANN and ANFIS models for modelling tobacco seed oil methyl ester (TSOME) production from underutilized tobacco seeds in the tropics. The dataset for the models was obtained from an earlier study which focused on design of the experiment on TSOME production. This study is an an exposition of the influence of transesterification parameters such as reaction duration (T), methanol/oil molar ratio (M:O), and catalyst dosage on the TSOME/biodiesel yield. A multi-layer ANN model with ten hidden layers was trained to simulate the methanolysis process. The ANFIS approach was further implemented to model TSOME production. A comparison of the formulated models was completed by statistical criteria such as coefficient of determination (R2), mean average error (MAE), and average absolute deviation (AAD). The R2 of 0.8979, MAE of 4.34468, and AAD of 6.0529 for the ANN model compared to those of the R2 of 0.9786, MAE of 1.5311, and AAD of 1.9124 for the ANFIS model. The ANFIS model appears to be more reliable than the ANN model in predicting TSOME production in the tropics.

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Section: Fuel Properties Of Tsome Producedmentioning

confidence: 99%

Modelling of Nicotiana Tabacum L. Oil Biodiesel Production: Comparison of ANN and ANFIS

et al. 2021

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“…The wild tree biodiesel was converted from granadilla oil and tung oil by using the transesterification process. In production, granadilla oil and waste cooking oil were placed with methanol (methanol/oil molar ratio = 6) (Samuel and Gulum, 2019) and catalyzed by 1.02 wt% potassium hydroxide (KOH), while tung oil used methanol (8:1) and 1.0 wt% potassium hydroxide in a jacketed reactor at 65°C, using a 700 rpm motor to circulate in a water bath for about 60 min, after which the mixture was poured into a separation funnel, the liquid started to separate out into layers after 12 h. The bottom layer will be glycerol and impurities, whereas the top layer was granadilla oil biodiesel, tung oil biodiesel and the waste cooking oil biodiesel. The methyl ester separated from glycerol was washed with distilled water to remove the entrained impurities and glycerine.…”

Section: Production and Properties Of Biodieselmentioning

confidence: 99%

Experimental investigation of a small agricultural diesel engine performance using community biodiesel from wild trees

Homdoung

Sasujit

Dussadee

et al. 2020

Maejo Int. J. Energ. Environ. Comm. or MIJEEC

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The increasing consumption and demand for fossil fuels have more significance than before alarm above its lessening rate and for that reason, stimulated the actions are needed to challenge the issue with an efficient and less polluting alternative fuel for diesel. This study evaluated the performance of an 8.2 kW small diesel engine using three fuels, namely diesel, waste cooking oil biodiesel and wild tree biodiesel, such as granadilla oil biodiesel (GBD) and tung oil biodiesel (TBD). The experimental engine was tested at 1,500 rpm of constant engine speed and 20–80% of engine load. The specific fuel consumption, brake specific energy consumption, brake mean sufficient pressure, brake thermal efficiency, exhaust emission and temperature were evaluated. It was found that the small diesel engine worked well using wild trees biodiesel. The brake means effective pressures were lower by 5–8% and thermal brake efficiency was decreased in the range of 9–15%, compared with diesel fuel. The exhaust emission was lower than Thailand’s industrial standard and slightly higher than waste cooking oil biodiesel and diesel fuel operation. The operation of biodiesel from wild trees is suitable for farmers and is considered feasible for local communities in the future.

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“…Therefore, researchers worldwide have focused on studying the corrosive nature of different biodiesels [12]. For example, the uses of vegetable [13], canola [14], sunflower [15], palm [16], and soybean [17] oil have been studied using different automotive materials. Rocabruno-Valdés et al [13] compared the corrosion characteristics of pure copper, aluminium, stainless steel, and carbon steel in canola biodiesel using electrochemical methods for 528 h. It was observed that stainless steel is more susceptible to petting corrosion, while the corrosion rate of carbon steel is highest, whereas copper showed the lowest corrosion rate.…”

Section: Introductionmentioning

confidence: 99%

“…Samuel et al [15] characterised the corrosion behaviours of sunflower oil biodiesel and diesel in brass using a static immersion approach at room temperature. Results showed that the corrosion rate of brass exposed to 100% sunflower biodiesel is the highest, while the corrosion rate is lowest in diesel.…”

Section: Introductionmentioning

confidence: 99%

A Study on the Corrosion Characteristics of Internal Combustion Engine Materials in Second-Generation Jatropha Curcas Biodiesel

et al. 2021

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The corrosiveness of biodiesel affects the fuel processing infrastructure and different parts of an internal combustion (IC) engine. The present study investigates the corrosion behaviour of automotive materials such as stainless steel, aluminium, cast iron, and copper in 20% (B20) and 30% (B30) by volume second-generation Jatropha biodiesel using an immersion test. The results were compared with petro-diesel (B0). Various fuel properties such as the viscosity, density, water content, total acid number (TAN), and oxidation stability were investigated after the immersion test using ASTM D341, ASTM D975, ASTM D445, and ASTM D6751 standards. The morphology of the corroded materials was investigated using optical microscopy and scanning electron microscopy SEM), whereas the elemental analysis was carried out using energy-dispersive X-ray spectroscopy (EDS). The highest corrosion using biodiesel was detected in copper, while the lowest was detected in stainless steel. Using B20, the rate of corrosion in copper and stainless steel was 17% and 14% higher than when using diesel, which further increased to 206% and 86% using B30. After the immersion test, the viscosity, water content, and TAN of biodiesel were increased markedly compared to petro-diesel.

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Mechanical and corrosion properties of brass exposed to waste sunflower oil biodiesel-diesel fuel blends

Cited by 64 publications

References 68 publications

Modelling of Nicotiana Tabacum L. Oil Biodiesel Production: Comparison of ANN and ANFIS

Modelling of Nicotiana Tabacum L. Oil Biodiesel Production: Comparison of ANN and ANFIS

Experimental investigation of a small agricultural diesel engine performance using community biodiesel from wild trees

A Study on the Corrosion Characteristics of Internal Combustion Engine Materials in Second-Generation Jatropha Curcas Biodiesel

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