ANN Prediction Analysis of Engine Performance and Emissions Characteristics Using a New Set of Plastic Pyrolysis Oil Blended With Pure Diesel

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Author(s): Amit Tiwari (Gyan Vihar University, India), Pooja Varshney (Gyan Vihar University, India), Harshita Swarnkar (Gyan Vihar University, India), Neny Pandel (Gyan Vihar University, India), Himanshu Vasnani (Gyan Vihar University, India)and Muhammad Akram (Abertay University, UK)
Copyright: 2025
Pages: 42
Source title: Expert Artificial Neural Network Applications for Science and Engineering
Source Author(s)/Editor(s): Lingala Syam Sundar (Prince Mohamamd Bin Fahd University, Saudia Arabia), Deepanraj Balakrishnan (Prince Mohammad Bin Fahd University, Saudi Arabia)and Antonio C.M. Sousa (University of Aveiro, Portugal)
DOI: 10.4018/979-8-3693-7250-0.ch011

Keywords: Computer Science & IT / Engineering Science / Engineering Science Reference / Neural Networks

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Abstract

Artificial Neural Network a soft tool enabled by Artificial intelligence was utilized to accurately predict engine performance and emissions analysis using a new set of plastic pyrolysis oil blended with pure diesel. Under various loads, blends, and speeds, this chapter analyzed the effect of plastic pyrolysis oil (PPO) on a diesel engine's performance and emissions, which were used to forecast performance and emissions. The ANN models have the potential to produce a more accurate estimate of the brake thermal efficiency, brake-specific fuel consumption, and emission performance parameters.

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ANN Prediction Analysis of Engine Performance and Emissions Characteristics Using a New Set of Plastic Pyrolysis Oil Blended With Pure Diesel

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