eprintid: 17441
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/74/41
datestamp: 2023-12-19 03:23:50
lastmod: 2023-12-19 03:23:50
status_changed: 2023-12-19 03:08:03
type: article
metadata_visibility: show
creators_name: Khandal, S.V.
creators_name: Razak, A.
creators_name: Veza, I.
creators_name: Afzal, A.
creators_name: Alwetaishi, M.
creators_name: Shaik, S.
creators_name: A�bulut, �.
creators_name: Rashedi, A.
title: Hydrogen and dual fuel mode performing in engine with different combustion chamber shapes: Modelling and analysis using RSM-ANN technique
ispublished: pub
keywords: Biodiesel; Combustion chambers; Hydrogen; Hydrogen fuels; Surface properties; Thermal efficiency, Artificial neural network; Brake thermal efficiency; Combustion chamber shape; Dual-fuels; Fuel flow rates; Honne biodiesel (BHO); Hydrogen fuel flow rate; Response surface methodology; Response-surface methodology; Uppage oil biodiesel ((BHO)/uppage biodiesel), Neural networks
note: cited By 6
abstract: This study investigates the impacts of hydrogen (H2) induction along with injected liquid honne biodiesel (BHO)/uppage biodiesel (BUO) as secondary pilot fuel in diesel engine. The effects of compression ratio (CR), hydrogen fuel flow rate (HFR) and different combustion chamber shapes in dual fuel (DF) mode were investigated. In the first phase of experiments, the effects of three different CR (15.5, 16.5, and 17.5) on engine efficacy and emission were presented. In the second phase, the effects of three HFR (0.1, 0.17, and 0.24 kg/h) on engine efficacy and emission, as well as the maximum possible HFR were reported. In the last phase, performance with different combustion chambers i.e., Hemispherical Combustion Chamber (HCC), Toroidal Reentrant Combustion Chamber (TRCC), and Toroidal Combustion Chamber (TCC) at maximum possible CR and HFR was highlighted. The study revealed that for knock free operation of the DF engine, the highest probable HFR was 0.24 kg/h at a CR of 17.5, fuel IT of 27obefore top dead center (bTDC) and injector opening pressure (IOP) of 250 bar. The toroidal re-entrant combustion chamber (TRCC) shape yielded 8�12 better brake thermal efficiency (BTE) with lower emissions but 20�29 higher oxides of nitrogen (NOx) at 80 load in DF mode as contrasted to the single CI mode. Both peak pressure (PP) and heat release rate (HRR) were 12�15 higher. Response surface methodology (RSM) was used to design the experiments and to carry the optimization process. Artificial Neural Network (ANN) was used to forecast the performance and emission behaviors of the test engine. The findings demonstrated that RSM and ANN were excellent modelling techniques with good accuracy. In addition, ANN's prediction performance (R2 = 0.975 for BTE) was somewhat better than RSM's (R2 = 0.974 for BTE). Both the techniques were found to be successful in terms of agreement with experimental findings with ratios varying from 95 to 98 respectively. The prediction of BTE and NOx was also carried using different machine learning algorithms. It can be seen that R2 value for these models were slightly lower than ANN and RSM models indicating good predicting capability of ANN modelling. © 2022 Hydrogen Energy Publications LLC
date: 2022
publisher: Elsevier Ltd
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141769525&doi=10.1016%2fj.ijhydene.2022.09.193&partnerID=40&md5=a4d4c9d2b502327cc9d7a7574c15a7fb
id_number: 10.1016/j.ijhydene.2022.09.193
full_text_status: none
publication: International Journal of Hydrogen Energy
refereed: TRUE
issn: 03603199
citation:   Khandal, S.V. and Razak, A. and Veza, I. and Afzal, A. and Alwetaishi, M. and Shaik, S. and A�bulut, �. and Rashedi, A.  (2022) Hydrogen and dual fuel mode performing in engine with different combustion chamber shapes: Modelling and analysis using RSM-ANN technique.  International Journal of Hydrogen Energy.   ISSN 03603199