Review and Synthesis of Literature on Single and Multizone Thermodynamic Combustion in a Diesel Engine
Dabilgou Téré, Tubreoumya Guy Christian, Haro Kayaba, Zongo Sidiki, Kam S. Zakarie, Sandwidi Sayouba, Ouédraogo T. Léonard, Daho Tizane, Koulidiati Jean, Sanogo Oumar, Zeghmati Belkacem, Bere Antoine
Physical Science International Journal · pp. 1–14 · Published 29 Dec 2021
10.9734/psij/2021/v25i1230294Abstract
This work is largely devoted to a review of existing works in the literature on single and multi-zone models of thermodynamic combustion in a diesel engine. It is found that numerical simulations of diesel engine operation based on thermodynamic models are of great interest in predicting engine performance and developing new concepts. Also, the advantages and disadvantages of the different models of a multi-zone are given. This study summarises several studies over several years of these thermodynamic models in use by presenting the different results. The limitations of the single-zone model led to the development of the multi-zone thermodynamic combustion model. This work therefore suggests a comprehensive study that takes into account the different models (kinetics, fuel flow, injection, heat transfer, etc.) to better appreciate the performance of the diesel engine. This will give a clear idea of how to develop new concepts for single-zone or multi-zone thermodynamic modelling that will help car manufacturers, for example.
Cited by 1
S. Çelebi, T. Kocakulak, U. Demir · Applied Energy · 2023
Related research
- Modelling of Hydration Characteristics of Five Varieties of Cowpea Grains — shares topic coverage
- Adsorption Isotherms of Extruded Bambara Groundnut (Vigna subterranea) Based Ready-to-eat Breakfast Meal — shares topic coverage
- Assessment of Recharge in Shallow Groundwater Aquifers Using Soil and Water Assessment Tool: A Case Study of the Thuthapuzha Subbasin — shares topic coverage
- Maintenance-State Assessment Model for Building Maintenance Forecasting — shares topic coverage
- Prediction of Oilfield Scale formation Using Artificial Neural Network (ANN) — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
1
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.