Comparative study using RSM and ANN modelling for performance-emission prediction of CI engine fuelled with bio-diesohol blends: A fuzzy optimization approach

Combustion and emission characteristics of RCEM and common rail diesel engine working with diesel fuel and ethanol/hydrous ethanol injected in the intake and exhaust port: Assessment and comparison

(2020) Ahmed I. EL-Seesy et al.   ENERGY CONVERSION AND MANAGEMENT

The modeling and analysis of transesterification reaction conditions in the selection of optimal biodiesel yield and viscosity

(2020) Mert Gülüm et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Artificial neural network approach on forecasting diesel engine characteristics fuelled with waste frying oil biodiesel

(2020) D. Babu et al.   APPLIED ENERGY

A hybrid ANN-Fuzzy approach for optimization of engine operating parameters of a CI engine fueled with diesel-palm biodiesel-ethanol blend

(2020) Suman Dey et al.   ENERGY

Performance and emission prediction of a compression ignition engine fueled with biodiesel-diesel blends: A combined application of ANN and RSM based optimization

(2020) Mustafa Aydın et al.   FUEL

Application of artificial neural network and response surface methodology for predicting and optimizing dual-fuel CI engine characteristics using hydrogen and bio fuel with water injection

(2020) N. Hariharan et al.   FUEL

Investigation of performance and exhaust emissions of a chromium oxide coated diesel engine fueled with dibutyl maleate mixtures by experimental and ANN technique

(2020) Huseyin Sevinc et al.   FUEL

Optimization of diesel engine operating parameters fueled with palm oil-diesel blend: Comparative evaluation between response surface methodology (RSM) and artificial neural network (ANN)

(2020) Samet Uslu   FUEL

Investigation of the effects of biodiesel/2-ethylhexyl nitrate (EHN) fuel blends on diesel engine performance and emissions by response surface methodology (RSM)

(2020) Suleyman Simsek et al.   FUEL

Optimization of the pyrolysis process of a plastic waste to obtain a liquid fuel using different mathematical models

(2019) L. Quesada et al.   ENERGY CONVERSION AND MANAGEMENT

Optimization of exhaust emissions from marine engine fueled with LNG/diesel using response surface methodology

(2019) Jiehui Li et al.   Energy Sources Part A-Recovery Utilization and Environmental Effects

Comparison of artificial neural network (ANN) and response surface methodology (RSM) prediction in compressive strength of recycled concrete aggregates

(2019) Abdelkader Hammoudi et al.   CONSTRUCTION AND BUILDING MATERIALS

Prediction of performance and emission characteristics of diesel engine fuelled with waste biomass pyrolysis oil using response surface methodology

(2019) R. Sakthivel et al.   RENEWABLE ENERGY

Application of fuzzy-assisted grey Taguchi approach for engine parameters optimization on performance-emission of a CI engine

(2019) Suman Dey et al.   Energy Sources Part A-Recovery Utilization and Environmental Effects

The performance assessment of cubic spline interpolation and response surface methodology in the mathematical modeling to optimize biodiesel production from waste cooking oil

(2019) Mert Gülüm et al.   FUEL

Measurement of performance and emission distinctiveness of Aegle marmelos seed cake pyrolysis oil/diesel/TBHQ opus powered in a DI diesel engine using ANN and RSM

(2019) P. Baranitharan et al.   MEASUREMENT

Experimental investigation on the performance, combustion and exhaust emission characteristics of a compression-ignition engine fueled with cottonseed oil biodiesel/diethyl ether/diesel fuel blends

(2019) Murat Kadir Yesilyurt et al.   ENERGY CONVERSION AND MANAGEMENT

Performance and Exhaust Emission Prediction of a SI Engine Fueled with I-amyl Alcohol-Gasoline Blends: An ANN Coupled RSM Based Optimization

(2019) Samet Uslu et al.   FUEL

Study of combustion, performance and emissions of diesel engine fueled with diesel/biodiesel/alcohol blends having the same oxygen concentration

(2018) Meisam Ahmadi Ghadikolaei et al.   ENERGY

RSM based optimization of performance and emission characteristics of DI compression ignition engine fuelled with diesel/aegle marmelos oil/diethyl ether blends at varying compression ratio, injection pressure and injection timing

(2018) M. Krishnamoorthi et al.   FUEL

Prediction of emissions and performance of a diesel engine fueled with n-octanol/diesel blends using response surface methodology

(2018) Kaliyaperumal Gopal et al.   JOURNAL OF CLEANER PRODUCTION

Optimization of engine parameters in a bio diesel engine run with honge methyl ester using response surface methodology

(2018) Shiva Kumar et al.   MEASUREMENT

Prediction OF CI engine performance, emission and combustion parameters using fish oil as a biodiesel by fuzzy-GA

(2018) G. Sakthivel et al.   ENERGY

Comparison of Response Surface Methodology (RSM) and Artificial Neural Network (ANN) in modelling of waste coconut oil ethyl esters production

(2018) Olusegun David Samuel et al.   Energy Sources Part A-Recovery Utilization and Environmental Effects

Optimization of performance and emission parameters of direct injection diesel engine fuelled with pongamia methyl esters-response surface methodology approach

(2018) Yashvir Singh et al.   INDUSTRIAL CROPS AND PRODUCTS

Multiple response optimizations to improve performance and reduce emissions of Argemone Mexicana biodiesel-diesel blends in a VCR engine

(2018) M.K. Parida et al.   APPLIED THERMAL ENGINEERING

Experimental study and prediction of the performance and exhaust emissions of mixed Jatropha curcas-Ceiba pentandra biodiesel blends in diesel engine using artificial neural networks

(2017) Surya Dharma et al.   JOURNAL OF CLEANER PRODUCTION

Potential and challenges for large-scale application of biodiesel in automotive sector

(2017) Avinash Kumar Agarwal et al.   PROGRESS IN ENERGY AND COMBUSTION SCIENCE

Effects of physicochemical properties of biodiesel fuel blends with alcohol on diesel engine performance and exhaust emissions: A review

(2017) M.S.M. Zaharin et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Comparison between developed models using response surface methodology (RSM) and artificial neural networks (ANNs) with the purpose to optimize oligosaccharide mixtures production from sugar beet pulp

(2016) Gonzalo Astray et al.   INDUSTRIAL CROPS AND PRODUCTS

Application of artificial intelligence (AI) in characterization of the performance–emission profile of a single cylinder CI engine operating with hydrogen in dual fuel mode: An ANN approach with fuzzy-logic based topology optimization

(2016) Madhujit Deb et al.   INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

Appraisal of artificial neural networks to the emission analysis and prediction of CO2, soot, and NOx of n-heptane fueled engine

(2016) Hadi Taghavifar et al.   JOURNAL OF CLEANER PRODUCTION

Analysis of blended fuel properties and engine performance with palm biodiesel–diesel blended fuel

(2016) Obed M. Ali et al.   RENEWABLE ENERGY

Response surface methodology based optimization of diesel–n-butanol –cotton oil ternary blend ratios to improve engine performance and exhaust emission characteristics

(2015) Alpaslan Atmanlı et al.   ENERGY CONVERSION AND MANAGEMENT

Optimization of reactivity-controlled compression ignition combustion fueled with diesel and hydrous ethanol using response surface methodology

(2015) Wei Fang et al.   FUEL

Development of ANN model for prediction of performance and emission characteristics of hydrogen dual fueled diesel engine with Jatropha Methyl Ester biodiesel blends

(2015) Syed Javed et al.   Journal of Natural Gas Science and Engineering

Performance optimization of CI engine fuelled with waste fried oil methyl ester-diesel blend using response surface methodology

(2013) Jagannath B. Hirkude et al.   FUEL

Response surface methodology based prediction of engine performance and exhaust emissions of a diesel engine fuelled with canola oil methyl ester

(2013) Erol Ileri et al.   Journal of Renewable and Sustainable Energy

Application of bioethanol/RME/diesel blend in a Euro5 automotive diesel engine: Potentiality of closed loop combustion control technology

(2012) Chiara Guido et al.   APPLIED ENERGY

Experimental investigations on performance and emission characteristics of Honge oil biodiesel (HOME) operated compression ignition engine

(2012) N.R. Banapurmath et al.   RENEWABLE ENERGY

Experimental investigations of performance, emission and combustion characteristics of Karanja oil blends fuelled DICI engine

(2012) Avinash Kumar Agarwal et al.   RENEWABLE ENERGY

Artificial Neural Network based prediction of performance and emission characteristics of a variable compression ratio CI engine using WCO as a biodiesel at different injection timings

(2011) Shivakumar et al.   APPLIED ENERGY

Prediction of engine performance for an alternative fuel using artificial neural network

(2011) Yusuf Çay et al.   APPLIED THERMAL ENGINEERING

Fuzzy control of an electrodynamic shaker for automotive and aerospace vibration testing

(2011) K.P.S. Rana   EXPERT SYSTEMS WITH APPLICATIONS

Effect of ethanol blending with biodiesel on engine performance and exhaust emissions in a CI engine

(2010) Hüseyin Aydin et al.   APPLIED THERMAL ENGINEERING

Application of response surface methodology for optimization of biodiesel production by transesterification of soybean oil with ethanol

(2010) Giovanilton F. Silva et al.   FUEL PROCESSING TECHNOLOGY

Effect of diethyl ether and ethanol additives on the combustion and emission characteristics of biodiesel-diesel blended fuel engine

(2010) D.H. Qi et al.   RENEWABLE ENERGY

Comparison of the effect of biodiesel-diesel and ethanol-diesel on the gaseous emission of a direct-injection diesel engine

(2009) Yage Di et al.   ATMOSPHERIC ENVIRONMENT

Feasibility of edible oil vs. non-edible oil vs. waste edible oil as biodiesel feedstock

(2008) M.M. Gui et al.   ENERGY

Effects of the addition of ethanol and cetane number improver on the combustion and emission characteristics of a compression ignition engine

(2008) Y Ren et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING