Journal Article10.1088/2631-8695/acfbd8
Multi-objective parameter optimization for four-stroke single-cylinder diesel engine with soyabean oil blends using NSGA-II
Pardeep Kumar,Ashwani Kumar Dhingra,Deepak Chhabra,Ashish Chhikara +3 more
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TL;DR: Multi-objective optimization of a single-cylinder diesel engine using soybean oil blends for improved performance and emission reduction. The study investigates the factors influencing the output characteristics of the engine using various blends of soybean biodiesel and fossil diesel. The research aims to minimize BSFC, CO, NOx, and HC and maximize BTE. The study evaluated five optimum combinations of BSFC, BTE, NOx, CO, and HC at variable input factors’ blending ratio and load.
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Abstract:
Due to the continuous scarcity of petroleum and related products, there is a greater need for alternative product to petroleum derivatives. The current work investigates the factors influencing the output characteristics of a single-cylinder four-stroke compression ignition engine by utilizing different combinations of blends of soybean biodiesel and fossil diesel, by weight/weight. The experiments have been conducted using the Response Surface Method based on full factorial CCRD and NSGA-II. Mathematical models for BSFC (brake-specific fuel consumption), BTE (brake thermal efficiency), and emission (CO, NOx, and unburned HC) have been proposed using regression equations for optimizing the combustion characteristics (brake-specific fuel consumption), performance characteristics (brake thermal efficiency), and emission parameters (CO, NOx, HC) in NSGA II. A multi-objective optimization problem is created since this investigation aims to minimize BSFC, CO, NOx, and HC and maximize BTE. This research evaluated five optimum combinations of BSFC, BTE, NOx, CO, and HC at variable input factors’ blending ratio and load, and their conformity was checked. It is observed that at a blending ratio of 25.03, the engine performance and emission give better results. At a blending ratio of 25.03 % w/w and load 2.08 kW, the brake thermal efficiency is 24.96%, and emission parameters are NOx 52.56 ppm, CO 0.08 %, and hydrocarbon 18.11 ppm.
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Citations
Applied AMT Machine Learning and Multi-Objective Optimization for Enhanced Performance and Reduced Environmental Impact of Sunflower Oil Biodiesel in Compression Ignition Engine
Ali A. Al‐jabiri,Hyder H. Balla,Mudhaffar S. Al‐Zuhairy,Hussein Alahmer,Ahmed Al-Manea,Raed Al-Rbaihat,Ali Alahmer +6 more
TL;DR: This study investigates the performance and environmental impact of sunflower oil biodiesel in compression ignition engines, employing machine learning and multi-objective optimization to optimize engine parameters, achieving notable results with peak BTE, reduced emissions, and minimized fuel consumption.
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References
A fast and elitist multiobjective genetic algorithm: NSGA-II
TL;DR: This paper suggests a non-dominated sorting-based MOEA, called NSGA-II (Non-dominated Sorting Genetic Algorithm II), which alleviates all of the above three difficulties, and modify the definition of dominance in order to solve constrained multi-objective problems efficiently.
Muiltiobjective optimization using nondominated sorting in genetic algorithms
N. Srinivas,Kalyanmoy Deb +1 more
TL;DR: Goldberg's notion of nondominated sorting in GAs along with a niche and speciation method to find multiple Pareto-optimal points simultaneously are investigated and suggested to be extended to higher dimensional and more difficult multiobjective problems.
7.1K
•Journal Article
Simulated Binary Crossover for Continuous Search Space.
TL;DR: A real-coded crossover operator is developed whose search power is similar to that of the single-point crossover used in binary-coded GAs, and SBX is found to be particularly useful in problems having mult ip le optimal solutions with a narrow global basin where the lower and upper bo unds of the global optimum are not known a priori.
3.3K
Performance, emission and combustion characteristics of biodiesel fuelled variable compression ratio engine
TL;DR: In this paper, the performance, emission and combustion characteristics of a single cylinder; four stroke variable compression ratio multi fuel engine fuelled with waste cooking oil methyl ester and its blends with standard diesel were investigated.
250
Performance and emission characteristics of biodiesel-blend in diesel engine: A review
TL;DR: In this paper, a review of biodiesel blends on properties, performance and emission-quality of a diesel engine under different operating conditions is presented, which indicates that the diesel-biodiesel blend provides shorter ignition delay and lesser heat release rate as well as slightly higher efficiency.