[HTML][HTML] Response surface methodology (RSM) for optimizing engine performance and emissions fueled with biofuel: Review of RSM for sustainability energy …

I Veza, M Spraggon, IMR Fattah, M Idris - Results in Engineering, 2023 - Elsevier
Abstract Response Surface Methodology (RSM) is a statistical method to design
experiments and optimize the effect of process variables. RSM is based on the principles of …

Prediction of IC engine performance and emission parameters using machine learning: A review

K Karunamurthy, AA Janvekar, PL Palaniappan… - Journal of Thermal …, 2023 - Springer
The human kind is facing various natural calamities such as Elnino, forest fires, climate
change, etc., due to environmental degradation and pollution. The United Nations has come …

Proportional impact prediction model of animal waste fat-derived biodiesel by ANN and RSM technique for diesel engine

S Simsek, S Uslu, H Simsek - Energy, 2022 - Elsevier
Instead of many experimental studies made for the suitability of biodiesel for use in diesel
engine, it has become easier to determine by fewer experiments with the development of …

Developing gasification process of polyethylene waste by utilization of response surface methodology as a machine learning technique and multi-objective optimizer …

R Hasanzadeh, P Mojaver, T Azdast… - International Journal of …, 2023 - Elsevier
This study set out to evaluate the performance of response surface methodology as a
machine learning technique on gasification process of polyethylene waste. Different models …

Comparative evaluation of the influence of waste vegetable oil and waste animal oil-based biodiesel on diesel engine performance and emissions

S Simsek, S Uslu - Fuel, 2020 - Elsevier
In this study, the effect of biodiesel obtained from animal fats (AFBD) and vegetable
biodiesel (VEBD) which is obtained from canola, safflower and waste vegetable oils by …

RSM modeling of different amounts of nano-TiO2 supplementation to a diesel engine running with hemp seed oil biodiesel/diesel fuel blends

S Uslu, S Simsek, H Simsek - Energy, 2023 - Elsevier
In this study, experiments were performed on a single-cylinder diesel engine to define the
optimum nanoparticle ratio using the response surface methodology. The experimental fuels …

Enhanced conversion of dairy waste oil to biodiesel via novel and highly reactive UiO-66-NH2/ZnO/TiO2 nano-catalyst: Optimization, kinetic, thermodynamic and …

B Maleki, H Esmaeili, M Mansouri, D Kumar, B Singh - Fuel, 2023 - Elsevier
This study focuses on developing a novel UiO-66-NH 2/ZnO/TiO 2 nano-catalyst for efficient
biodiesel generation from dairy waste scum oil (DWSO). UiO-66-NH 2, UiO-66-NH 2/TiO 2 …

Phosphomolybdic acid/chitosan as acid solid catalyst using for biodiesel production from pomegranate seed oil via microwave heating system: RSM optimization and …

F Helmi, M Helmi, A Hemmati - Renewable Energy, 2022 - Elsevier
In this research, a green solid catalyst of phosphomolybdic acid (HPA) prated on Chitosan
was synthesized to produce biodiesel. The prepared catalyst was characterized using …

Optimization of ZnO incorporation to αFe2O3 nanoparticles as an efficient catalyst for biodiesel production in a sonoreactor: application on the CI engine

B Maleki, SSA Talesh - Renewable Energy, 2022 - Elsevier
Pure αFe 2 O 3 and αFe 2 O 3 1-x/ZnO x (x= 0, 40 and 80 wt%) nanoparticles were
synthesized using the sol-gel method and, then, tested for biodiesel production from canola …

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

S Dey, NM Reang, PK Das, M Deb - Fuel, 2021 - Elsevier
This present investigation focuses on prediction of engine responses of a single cylinder CI
engine powered by bio-diesohol (diesel-palm biodiesel-ethanol) blends using RSM …