Prediction of Waste Heat Energy Recovery Performance in a Naturally Aspirated Engine Using Artificial Neural Network

Prediction of Waste Heat Energy Recovery Performance in a Naturally Aspirated Engine Using Artificial Neural Network

he waste heat from exhaust gases represents a signiicant amount of thermal energy, which has conventionally been used for combined heating and power applications. his paper explores the performance of a naturally aspirated spark ignition engine equipped with waste heat recovery mechanism (WHRM).he...

Full description

Saved in:
Bibliographic Details
Main Authors: Putra, Azma, Safarudin Gazali , Herawan, Abdul Hakim, Rohhaizan, Ahmad Faris , Ismail
Format: Article
Language:English
Published: Hindawi Publishing Corporation 2014
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://eprints.utem.edu.my/id/eprint/12067/1/ANN-prediction.pdf
http://eprints.utem.edu.my/id/eprint/12067/
http://dx.doi.org/10.1155/2014/240942
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Teknikal Malaysia Melaka
Language: English
id my.utem.eprints.12067
record_format eprints
spelling my.utem.eprints.120672015-05-28T04:22:15Z http://eprints.utem.edu.my/id/eprint/12067/ Prediction of Waste Heat Energy Recovery Performance in a Naturally Aspirated Engine Using Artificial Neural Network Putra, Azma Safarudin Gazali , Herawan Abdul Hakim, Rohhaizan Ahmad Faris , Ismail TJ Mechanical engineering and machinery he waste heat from exhaust gases represents a signiicant amount of thermal energy, which has conventionally been used for combined heating and power applications. his paper explores the performance of a naturally aspirated spark ignition engine equipped with waste heat recovery mechanism (WHRM).he experimental and simulation test results suggest that the concept is thermodynamically feasible and could signiicantly enhance the system performance depending on the load applied to the engine. he simulation method is created using an artiicial neural network (ANN) which predicts the power produced from theWHRM. Hindawi Publishing Corporation 2014-03 Article PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/12067/1/ANN-prediction.pdf Putra, Azma and Safarudin Gazali , Herawan and Abdul Hakim, Rohhaizan and Ahmad Faris , Ismail (2014) Prediction of Waste Heat Energy Recovery Performance in a Naturally Aspirated Engine Using Artificial Neural Network. ISRN MECHANICAL ENGINEERING, 2014. pp. 1-6. ISSN 2090-5130 http://dx.doi.org/10.1155/2014/240942
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Putra, Azma
Safarudin Gazali , Herawan
Abdul Hakim, Rohhaizan
Ahmad Faris , Ismail
Prediction of Waste Heat Energy Recovery Performance in a Naturally Aspirated Engine Using Artificial Neural Network
description he waste heat from exhaust gases represents a signiicant amount of thermal energy, which has conventionally been used for combined heating and power applications. his paper explores the performance of a naturally aspirated spark ignition engine equipped with waste heat recovery mechanism (WHRM).he experimental and simulation test results suggest that the concept is thermodynamically feasible and could signiicantly enhance the system performance depending on the load applied to the engine. he simulation method is created using an artiicial neural network (ANN) which predicts the power produced from theWHRM.
format Article
author Putra, Azma
Safarudin Gazali , Herawan
Abdul Hakim, Rohhaizan
Ahmad Faris , Ismail
author_facet Putra, Azma
Safarudin Gazali , Herawan
Abdul Hakim, Rohhaizan
Ahmad Faris , Ismail
author_sort Putra, Azma
title Prediction of Waste Heat Energy Recovery Performance in a Naturally Aspirated Engine Using Artificial Neural Network
title_short Prediction of Waste Heat Energy Recovery Performance in a Naturally Aspirated Engine Using Artificial Neural Network
title_full Prediction of Waste Heat Energy Recovery Performance in a Naturally Aspirated Engine Using Artificial Neural Network
title_fullStr Prediction of Waste Heat Energy Recovery Performance in a Naturally Aspirated Engine Using Artificial Neural Network
title_full_unstemmed Prediction of Waste Heat Energy Recovery Performance in a Naturally Aspirated Engine Using Artificial Neural Network
title_sort prediction of waste heat energy recovery performance in a naturally aspirated engine using artificial neural network
publisher Hindawi Publishing Corporation
publishDate 2014
url http://eprints.utem.edu.my/id/eprint/12067/1/ANN-prediction.pdf
http://eprints.utem.edu.my/id/eprint/12067/
http://dx.doi.org/10.1155/2014/240942
_version_ 1665905486424178688

Similar Items