An Intelligent Artificial Neural Network-Response Surface Methodology Method for Accessing the Optimum Biodiesel and Diesel Fuel Blending Conditions in a Diesel Engine from the Viewpoint of Exergy and Energy Analysis
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
An Intelligent Artificial Neural Network-Response Surface Methodology Method for Accessing the Optimum Biodiesel and Diesel Fuel Blending Conditions in a Diesel Engine from the Viewpoint of Exergy and Energy Analysis
Authors
Keywords
-
Journal
Energies
Volume 11, Issue 4, Pages 860
Publisher
MDPI AG
Online
2018-04-11
DOI
10.3390/en11040860
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Exergetic and exergoeconomic assessment of a small-scale turbojet fuelled with biodiesel
- (2017) Kahraman Coban et al. ENERGY
- Energy and exergy analyses of a diesel engine fueled with diesel, biodiesel-diesel blend and gasoline fumigation
- (2017) Marziyeh Hoseinpour et al. ENERGY
- Experimental investigation of low-level water in waste-oil produced biodiesel-diesel fuel blend
- (2017) Esmail Khalife et al. ENERGY
- Analysis of Exhaust Gas Recirculation (EGR) effects on exergy terms in an engine operating with diesel oil and hydrogen
- (2017) Samad Jafarmadar et al. ENERGY
- Neat diesel beats waste-oriented biodiesel from the exergoeconomic and exergoenvironmental point of views
- (2017) Mortaza Aghbashlo et al. ENERGY CONVERSION AND MANAGEMENT
- A novel emulsion fuel containing aqueous nano cerium oxide additive in diesel–biodiesel blends to improve diesel engines performance and reduce exhaust emissions: Part II – Exergetic analysis
- (2017) Mortaza Aghbashlo et al. FUEL
- Exergetic Irreversibility and Sustainability Performances for Alternative Fuels in the Micro-Turbojet Engine
- (2017) M. Ziya Söğüt International Journal of Green Energy
- Multidimensional modeling of the effect of exhaust gas recirculation on exergy terms in a homogenous charge compression ignition engine fueled by diesel/biodiesel
- (2017) Samad Jafarmadar et al. JOURNAL OF CLEANER PRODUCTION
- Investigation of particulate emission characteristics of a diesel engine fueled with higher alcohols/biodiesel blends
- (2016) Zhi-Hui Zhang et al. APPLIED ENERGY
- Exergy and Energy Analysis of Combustion of Blended Levels of Biodiesel, Ethanol and Diesel Fuel in a DI Diesel Engine
- (2016) Golmohammad Khoobbakht et al. APPLIED THERMAL ENGINEERING
- Support vector machine-based exergetic modelling of a DI diesel engine running on biodiesel–diesel blends containing expanded polystyrene
- (2016) Shahaboddin Shamshirband et al. APPLIED THERMAL ENGINEERING
- Effects of Oxygen Content of Fuels on Combustion and Emissions of Diesel Engines
- (2016) Haiwen Song et al. Energies
- Modeling the effects of ultrasound power and reactor dimension on the biodiesel production yield: Comparison of prediction abilities between response surface methodology (RSM) and adaptive neuro-fuzzy inference system (ANFIS)
- (2016) Mostafa Mostafaei et al. ENERGY
- Exergy analysis of biodiesel combustion in a direct injection compression ignition (CI) engine using quasi-dimensional multi-zone model
- (2016) Peyman Nemati et al. ENERGY
- The use of ELM-WT (extreme learning machine with wavelet transform algorithm) to predict exergetic performance of a DI diesel engine running on diesel/biodiesel blends containing polymer waste
- (2016) Mortaza Aghbashlo et al. ENERGY
- Performance and emission characteristics of a diesel engine running on optimized ethyl levulinate–biodiesel–diesel blends
- (2016) Tingzhou Lei et al. ENERGY
- Energy and Exergy Analyses of a Diesel Engine Fuelled with Biodiesel-Diesel Blends Containing 5% Bioethanol
- (2016) Bahar Sayin Kul et al. Entropy
- Dependency of engine combustion on blending ratio variations of lipase-catalysed coconut oil biodiesel and petroleum diesel
- (2016) Changhwan Woo et al. FUEL
- Comparison of properties of a compression ignition engine operating on diesel–biodiesel blend with methanol additive
- (2016) J. Žaglinskis et al. FUEL
- Influence of diesel fuel blended with biodiesel produced from waste cooking oil on diesel engine performance
- (2016) Ali M.A. Attia et al. FUEL
- Prediction of NOx Emissions and Fuel Consumption of a City Bus under Real Operating Conditions by Means of Biharmonic Maps
- (2016) Carmen Mata et al. JOURNAL OF ENERGY ENGINEERING
- Exergy analysis of diesel/biodiesel combustion in a homogenous charge compression ignition (HCCI) engine using three-dimensional model
- (2016) Samad Jafarmadar et al. RENEWABLE ENERGY
- Effect of an emission-reducing soluble hybrid nanocatalyst in diesel/biodiesel blends on exergetic performance of a DI diesel engine
- (2016) Mortaza Aghbashlo et al. RENEWABLE ENERGY
- Analysis of blended fuel properties and engine performance with palm biodiesel–diesel blended fuel
- (2016) Obed M. Ali et al. RENEWABLE ENERGY
- Prediction of NOx Emissions and Fuel Consumption of a City Bus under Real Operating Conditions by Means of Biharmonic Maps
- (2016) Carmen Mata et al. JOURNAL OF ENERGY ENGINEERING
- An improvement in RBF learning algorithm based on PSO for real time applications
- (2013) Vahid Fathi et al. NEUROCOMPUTING
- Multiple regression, ANN (RBF, MLP) and ANFIS models for prediction of swell potential of clayey soils
- (2010) Işık Yilmaz et al. EXPERT SYSTEMS WITH APPLICATIONS
- Prediction of the strength and elasticity modulus of gypsum using multiple regression, ANN, and ANFIS models
- (2008) Işık Yilmaz et al. INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
- Exergy efficiency applied for the performance optimization of a direct injection compression ignition (CI) engine using biofuels
- (2008) Y. Azoumah et al. RENEWABLE ENERGY
- Effect of biodiesel fuels on diesel engine emissions
- (2007) M LAPUERTA et al. PROGRESS IN ENERGY AND COMBUSTION SCIENCE
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started