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

• 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
• Institution: Universiti Teknikal Malaysia Melaka

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...