Artificial Neural Network Optimization Modeling on Engine Performance of Diesel Engine Using Biodiesel Fuel

Shukri, M.R.; Rahman, Mujibur; Ramasamy, D.; Kadirgama, K.

doi:10.15282/ijame.11.2015.15.0196

Cited by 34 publications

(30 citation statements)

References 25 publications

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“…Figure 6 shows the variation of HC emission with brake power. It can be seen that with increasing brake power, HC emission increased for all test fuels, and there was reduction in HC emission for 20% JOME and 20% FOME blends compared to diesel due to the presence of oxygen content in their molecular structure which leads to efficient combustion [46]. With methyl esters having higher Cetane Index (CI) than diesel, the delay period was reduced and led to effective combustion, which reduced HC emission to a greater extent [47].…”

Section: Exhaust Gas Temperaturementioning

confidence: 98%

Performance and emission characteristics of compression ignition engine using methyl ester blends of jatropha and fish oil

Bhaskar¹,

Sendilvelan²,

Muthu³

et al. 2016

J. MECH. ENG. SCI.

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In this work, biodiesel obtained from the transesterfication of Jatropha seeds and Fish wastes is used as an alternative fuel to diesel in stationary single cylinder diesel engines. The biodiesel obtained has good ignition ability due to its relatively high cetane number compared to that of conventional diesel fuel. The performance, combustion and emission tests using Jatropha Oil Methyl Ester (JOME), Fish Oil Methyl Ester (FOME) and their blends (20% JOME and 20% FOME) with diesel were carried out at constant speed and variable loads condition. The results showed that both blends could be used as fuels for diesel engine without any major modification on the engine. Carbon monoxide (CO), UBHC and smoke emissions were observed to be lesser at all loads for both the blends compared to diesel fuel, while NOx emission was slightly higher. JOME blend was found to be better than FOME blend.

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Section: Exhaust Gas Temperaturementioning

confidence: 98%

Performance and emission characteristics of compression ignition engine using methyl ester blends of jatropha and fish oil

Bhaskar¹,

Sendilvelan²,

Muthu³

et al. 2016

J. MECH. ENG. SCI.

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“…The behaviour of P91 steels at the microstructure level under cyclic loading can also be visualised and simulated using micromechanical finite element modelling [7]. The prediction of the behaviour of the power plant materials can be further extended to predict fatigue life using various available models [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

A study on the damage evolution of P91 steel under cyclic loading at high temperature

Saad¹,

Bachok²,

Sun³

2022

Int. J. Automot. Mech. Eng.

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This study aimed to investigate the effect of cyclic loading on structural integrity of a P91 specimen at high temperature. The experiments were conducted using a thermomechanical fatigue test machine at 600 °C and electron microscopy investigation. The evolution of the elastic modulus can be used as an indication of the strength degradation of the material. Scanning and transmission electron microscopy were used to investigate the microstructural variations that occurred in the specimen at different life fractions during the cyclic tests. Based on the experimental stress-strain data, variations in the Young's modulus and the area enclosed in the hysteresis loops were determined, together with the variations in other parameters throughout the test. The initiation of cracks begins in the second stage of cyclic softening. The changes of structure, on a micro-scale, do not significantly affect the strength of the specimen, as the Young's modulus values of the specimen remain approximately constant up to the end of the stage 2 cyclic softening before damage to the specimen starts to increase. The cracks cause the material to become weaker, as indicated by the decrease of the Young's modulus value. The evolution of damage was found to be significant in the final stages of softening owing to the propagation of cracks in the P91 steel affecting the integrity of the material.

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“…There are quite a number of studies that have been carried out concerning go-karts. This includes the study about the design of its frame or chassis that sometimes were concerned about the selection of materials for the structure, simple structural analysis, safety, and also the stability of the structure [1][2][3][4]. Currently, the trend in chassis design is focusing on producing lower cost and lighter vehicle structure but with good safety efficiency.…”

Section: Introductionmentioning

confidence: 99%

Dynamics properties of a Go-kart chassis structure and its prediction improvement using model updating approach

Abdullah

Sani

Husain

et al. 2017

Int. J. Automot. Mech. Eng.

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Model updating is concerned about the correction of finite element models by processing the record of dynamic response from test structures in order to have an accurate model for any simulated analysis. Finite element model updating had emerged years ago as an important subject in structural dynamics. It has been used frequently and has been successfully applied to many fields especially in detecting the dynamic stiffness of a structure. The purpose of this study is to perform model updating of a go-kart chassis structure in order to reduce the percentage of error between the experimental modal analysis (EMA) and finite element analysis (FEA). Modal properties (natural frequency, mode shapes, and damping ratio) of the go-kart chassis structure were determined using both EMA and FEA. Correlation of the modal parameters gathered in FEA and EMA was carried out before optimizing the data from finite element. By adjusting the selective parameters, incongruities between those two analyses are generally reduced. The sensitivity of selected parameters is also obtained. The significant reduction in percentage of error before and after model updating procedure was carried out in this study clearly shows that model updating technique is a reliable method in reducing the discrepancies between EMA and FEA. Therefore, in cases of high discrepancies between analytical and actual test data, model updating can be considered as an option in order to obtain better correlation between those two sets of data.

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Artificial Neural Network Optimization Modeling on Engine Performance of Diesel Engine Using Biodiesel Fuel

Cited by 34 publications

References 25 publications

Performance and emission characteristics of compression ignition engine using methyl ester blends of jatropha and fish oil

Performance and emission characteristics of compression ignition engine using methyl ester blends of jatropha and fish oil

A study on the damage evolution of P91 steel under cyclic loading at high temperature

Dynamics properties of a Go-kart chassis structure and its prediction improvement using model updating approach

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