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Horizons in Internal Combustion Research Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Characterization of Ringing Operation in Ethanol-Fueled HCCI Engine Using Chemical Kinetics and Artificial Neural Network

Authors : Rakesh Kumar Maurya, Mohit Raj Saxena

Published in: Advances in Internal Combustion Engine Research

Publisher: Springer Singapore

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Abstract

The homogeneous charge compression ignition (HCCI) strategy is an advanced engine combustion concept having higher thermal efficiency while maintaining the NO x and soot emission to an ultra-low level. Intense ringing operation in HCCI engine is one of the major challenges at high engine load conditions, which limit the HCCI engine operation range and can also damage engine parts. Ethanol is a promising alternative to conventional fuel, especially for utilization in advanced engine combustion modes such as HCCI. This chapter presents the overview of HCCI combustion along with its numerical simulation using stochastic reactor model. This chapter also presents detailed characterization of ringing operation, and HCCI operating range of ethanol-fueled HCCI engine. Ringing operation is typically characterized by either ringing intensity or peak pressure rise rate (PPRR). Characterization of PPRR and its prediction using artificial neural network (ANN) in ethanol-fueled HCCI engine is also presented. The ANN model is of utility to identify engine operating limits to avoid the ringing operation.

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Metadata
Title
Characterization of Ringing Operation in Ethanol-Fueled HCCI Engine Using Chemical Kinetics and Artificial Neural Network
Authors
Rakesh Kumar Maurya
Mohit Raj Saxena
Copyright Year
2018
Publisher
Springer Singapore
Book
Advances in Internal Combustion Engine Research

Print ISBN: 978-981-10-7574-2

Electronic ISBN: 978-981-10-7575-9

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-7575-9_3

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