ArticleBMC chemistry2025
Engine performance and emission optimization with waste cooking oil biodiesel/diesel blend using ANN and RSM techniques coupled with ACKTR-DE and HHO algorithms.
Article in BMC chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Modeling and experimental evaluation of marotti oil biodiesel blends in a diesel engine using response surface methodology and artificial neural networks.Scientific reports · 2026Article
- Hybrid XGBoost-RF-MLP model and PSO optimization for performance and emissions of CI engine using waste cooking biodiesel blends.Scientific reports · 2025Article
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Authors and funding
3 authors.
Funding
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Abstract
In this experimental investigation, Artificial Neural Network (ANN) and Response Surface Methodology (RSM) model structures were constructed to predict and optimize the performance and exhaust emissions of a diesel engine operating on a blend of diesel fuel and waste oil biodiesel. The test engine was operated with 0%, 50%, and 100% biodiesel content under varying injection pressures and loads. The RSM model was used to derive regression equations from the experimental results. The correlation coefficient (R
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Registered trials
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