A Taguchi-Fuzzy-Based Multi-Objective Optimization of a Direct Injection Diesel Engine Fueled With Different Blends of Leucas Zeylanica Methyl Ester and 2-Ethylhexyl Nitrate Diesel Additive With Diesel

Abstract

The increasing price of conventional diesel fuel, its deficiency, and the injurious outcome of combustion produced contaminants seem to make different sources more fascinating. Leucas zeylanica plant is noncomestible in nature and available abundantly. Leucas zeylanica methyl ester is renewable and least polluting fuel, which can supplement fossil fuels with unmodified engine condition. The existing experimentation assesses the performance and emission analysis by using various blends of leucas zeylanica methyl ester, diesel, and diesel additives like 2-ethylhexyl nitrate. This experimental investigation gives less engine emission and better performance as compared with mineral diesel. In the radical portion of this investigation, fuzzy-based Taguchi optimization for predicting the optimum input blends results in the optimum combination of performance and emissions parameter.

Optimization of Next-Generation Alcohols and Fishoil Methyl Ester Blends In a Single Cylinder DI-CI Engine Using Response Surface Methodology

“…The methyl esters of Fish oil, MEFO is kept under observation for 72 hours to check the phase separation issues before it is used to blend. The transesterification process [17] is below.…”

“…BTHE is directly representing the efficiency, which utilizes the chemical energy of a particular form of fuel converted into convenient work. It is also the ratio of brake power with respect to the input fuel energy [17]. The red colour and blue colour zones in the response surfaces demonstrate the maximum and minimal conceivable BTE's separately with n-octanol/biodiesel blends.…”

“…Response surface methodology: The automobile makers and application engineers believed that it is a tedious, complicated and costly task to run an engine for all possible loading conditions and blends at a time [16]. Demonstrating the engine job employing the artificial neural system and fuzzy logic to anticipate the engine parameters can be a substitute arrangement [17], [18]. Singh et al [19] announced that their model based on a stage is dynamic in enhancing the info parameters for a petrodiesel engine fuelled with biodiesel and petrodiesel combinations.…”

“…[21] proposed compared two models SVM and ANFIS based on SI engine data with laudable accuracy. Many successful models based on several mathematical models, were successful in predicting the engine behaviour [17], [22], [23]. Hence, Current study deals with performance emission paradigm of a biodiesel driven engine and statistical analysis is done using Analysis of Variance (ANOVA) and some special metrics like NCE, KGE was optimization using RSM.…”

Modelling and optimizing performance parameters in the wire-electro discharge machining of Al5083/B4C composite by multi-objective response surface methodology

“…Trade-off analysis creates balance between the system parameters where, if one increases then another must decrease. It is a mixture of methods involved to identify a disposition of ideal design limitations [56]. Trade-off analysis is applied in areas like economics [56,57], life science [58][59][60], engineering and pollution research [61][62][63][64] etc.…”