[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 …

[HTML][HTML] Improving the combustion and emission performance of a diesel engine powered with mahua biodiesel and TiO2 nanoparticles additive

CJ Sarma, P Sharma, BJ Bora, DK Bora… - Alexandria Engineering …, 2023 - Elsevier
The dwindling air quality and diminishing fossil fuel reserves have led to an increase in the
need for alternative sources of fuel. Biodiesel derived from animal/plant sources seems to be …

A hybrid RSM-GA-PSO approach on optimization of process intensification of linseed biodiesel synthesis using an ultrasonic reactor: Enhancing biodiesel properties …

A Ahmad, AK Yadav, A Singh, DK Singh, Ü Ağbulut - Energy, 2024 - Elsevier
The depletion of fossil fuels necessitates the development of sustainable and energy-
efficient techniques for biodiesel production. In recent years, cavitation reactors have …

Enhancing emission control and analyzing the performance and combustion attributes of vehicular engines with spirulina microalgae diesel Ce2O3 nanoparticles …

K Brindahdevi, PT Kim, MV Kumar… - Environmental …, 2023 - Elsevier
The current research investigates the utilization of spirulina microalgae biodiesel blends in a
naturally aspirated constant speed compression ignition engine with Ce 2 O 3 nanoparticles …

Thermo-hydraulic performance optimization of a disk-shaped microchannel heat sink applying computational fluid dynamics, artificial neural network, and response …

K Vaferi, M Vajdi, S Nekahi, A Heydari, FS Moghanlou… - Heliyon, 2023 - cell.com
The current research focuses on optimizing the Nusselt number (Nu) and pressure drop (ΔP)
in a bionic fractal heat sink. The artificial neural network (ANN) and response surface …

[HTML][HTML] A hybrid calibration scheme for developing hydrogen enrichment ratio control map using RSM and ANN technique to enhance the characteristics of an …

R Elumalai, K Ravi - Case Studies in Thermal Engineering, 2023 - Elsevier
This investigation aims to optimally attune hydrogen enrichment ratio for an ammonia
biodiesel powered RCCI engine using RSM and ANN techniques. Conventionally, optimal …

[HTML][HTML] Grey Wolf Optimizer for enhancing Nicotiana Tabacum L. oil methyl ester and prediction model for calorific values

OD Samuel, M Kaveh, TN Verma, AO Okewale… - Case Studies in Thermal …, 2022 - Elsevier
Modelling and enhancing the production of green diesel in biodiesel industries have been
hampered by the failure of the conventional approach to pursue space with continuous …

Adaptive neuro-fuzzy inference system for forecasting corrosion rates of automotive parts in biodiesel environment

OD Samuel, MO Okwu, M Varatharajulu, ID Eseoghene… - Heliyon, 2024 - cell.com
It is precarious to scrutinize the impacts of operational parameters on corrosion when
choosing materials for the green diesel and automotive industries. This was the original …

Comparative diesel engine performance and emission forecasting using extreme learning and quadratic regression techniques burning waste cooking biodiesel

MS Gad, A Alenany - International Journal of Hydrogen Energy, 2024 - Elsevier
Waste cooking oil (WCO) is converted into methyl ester using transesterification. Various
mixtures of biodiesel and diesel oil in ratios of 25, 50, 75, and 100% were created and …

Optimization for waste coconut and fish oil derived biodiesel with MgO nanoparticle blend: Grey relational analysis, grey wolf optimization, driving training based …

IY Dharmegowda, LM Muniyappa, AB Suresh… - Fuel, 2023 - Elsevier
The present work aimed at the practical utility of waste hybrid (coconut+ fish oil) oil-derived
biodiesel with magnesium oxide (MgO) nanoparticles (NPs) fuelled to diesel engines …