Predicting the Performance of Diesel Engine Combustion Chambers

1969 ◽  
Vol 184 (10) ◽  
pp. 241-299 ◽  
Author(s):  
D. B. Spalding
Keyword(s):  
Heat Transfer ◽  
Diesel Engine ◽  
Numerical Analysis ◽  
Finite Difference ◽  
Fluid Dynamic ◽  
Combustion Chambers ◽  
Piston Motion ◽  
Engine Combustion ◽  
Growth Of Knowledge ◽  
Dynamic Heat Transfer

The availability of large digital computers, the recent development of adequate techniques of numerical analysis, and the growth of knowledge about the laws of turbulence, have combined to make possible the development of a comprehensive prediction procedure for the fluid-dynamic, heat transfer and combustion phenomena which take place in diesel engine combustion chambers. The difficulties, and means of surmounting them, are discussed in the lecture; it is argued that a very useful first stage would be a procedure applicable to axisymmetrical chambers; this could be constructed by extending already established techniques and knowledge. The procedure would be of the finite difference variety, and would employ a grid which expanded and contracted to accord with the piston motion.

Numerical analysis of static and dynamic heat transfer behaviors inside proton exchange membrane fuel cell

2021 ◽  
Vol 488 ◽  
pp. 229419
Author(s):  
Qianqian Wang ◽  
Fumin Tang ◽  
Bing Li ◽  
Haifeng Dai ◽  
Jim P. Zheng ◽  
...  
Keyword(s):  
Heat Transfer ◽  
Fuel Cell ◽  
Numerical Analysis ◽  
Proton Exchange Membrane ◽  
Proton Exchange ◽  
Dynamic Heat Transfer ◽  
Exchange Membrane

scholarly journals Numerical Analysis of the Dynamic Heat Transfer through an External Wall under Different Outside Temperatures

2017 ◽  
Vol 105 ◽  
pp. 2818-2824 ◽  
Author(s):  
Qiongxiang Kong ◽  
Xiao He ◽  
Ying Cao ◽  
Yanjun Sun ◽  
Kangying Chen ◽  
...  
Keyword(s):  
Heat Transfer ◽  
Numerical Analysis ◽  
External Wall ◽  
Dynamic Heat Transfer

Modelling of Spray–Swirl Interaction in Direct Injection Diesel Engine Combustion Chambers

1985 ◽  
Vol 199 (3) ◽  
pp. 187-198 ◽  
Author(s):  
P S Mehta ◽  
A K Gupta
Keyword(s):  
Diesel Engine ◽  
Fuel Injection ◽  
Direct Injection ◽  
Three Dimensional ◽  
Combustion Chambers ◽  
Direct Injection Diesel Engine ◽  
Wide Range ◽  
Engine Combustion ◽  
Computation Scheme ◽  
Good Agreement

A mathematical model for predicting spray–swirl interaction in a direct injection diesel engine combustion chamber is developed using centre-line velocity vector/continuum approach. The model has three-dimensional features in fuel spray motion. The present model responds to the various air swirl, fuel injection and cylinder charge conditions. The predicted results are compared with the analytical and experimental data available from various sources in the two-dimensional case. Very good agreement is achieved over a wide range of data. The three-dimensional predictions are directly possible without any alteration in the computation scheme.

scholarly journals Numerical Investigation of Heat Transfer in Car Radiation System Using Improved Coolant

2021 ◽  
Vol 83 (1) ◽  
pp. 61-69
Author(s):  
Qais Hussein Hassan ◽  
Shaalan Ghanam Afluq ◽  
Mohamed Abed Al Abas Siba
Keyword(s):  
Heat Transfer ◽  
Nusselt Number ◽  
Numerical Analysis ◽  
Fluid Dynamic ◽  
Pure Water ◽  
Nano Particles ◽  
Nano Particle ◽  
Temperature Dependent ◽  
Ansys Fluent ◽  
Nano Fluid

In the this study , numerical analysis of heat transfer in the radiation system of the car has been investigated by using pure water and water with nano-fluid. ANSYS fluent version 16.1 has been conducted to carry out the simulation process using Computational Fluid Dynamic (FCD) approach. This study has been validated with experimental results and based on the simulation results the error was 8% when applying the same boundary condition. And the validation process was carried out for the flow rate with Nusselt number in both concertation 0.7 % and 1 %. Based on numerical analysis, the Nusselt number has been increased by increasing nano particle concertation. Increased number of Nusselt causes the enactment of the heat exchanger. The previous experimental data show that the heat transfer of the nanofluids was based highly on the concentration of nano particles, the flux conditions and the weak temperature-dependent heat transfer conditions.

scholarly journals Cooling Effectiveness of a Data Center Room under Overhead Airflow via Entropy Generation Assessment in Transient Scenarios

Entropy ◽  
2019 ◽  
Vol 21 (1) ◽  
pp. 98 ◽  
Author(s):  
Luis Silva-Llanca ◽  
Marcelo del Valle ◽  
Alfonso Ortega ◽  
Andrés Díaz
Keyword(s):  
Heat Transfer ◽  
Entropy Generation ◽  
Data Center ◽  
Distribution System ◽  
Heat Exchangers ◽  
Fluid Dynamic ◽  
Three Dimensional ◽  
Ansys Fluent ◽  
Cooling Effectiveness ◽  
Dynamic Heat Transfer

Forecasting data center cooling demand remains a primary thermal management challenge in an increasingly larger global energy-consuming industry. This paper proposes a dynamic modeling approach to evaluate two different strategies for delivering cold air into a data center room. The common cooling method provides air through perforated floor tiles by means of a centralized distribution system, hindering flow management at the aisle level. We propose an idealized system such that five overhead heat exchangers are located above the aisle and handle the entire server cooling demand. In one case, the overhead heat exchangers force the airflow downwards into the aisle (Overhead Downward Flow (ODF)); in the other case, the flow is forced to move upwards (Overhead Upward Flow (OUF)). A complete fluid dynamic, heat transfer, and thermodynamic analysis is proposed to model the system’s thermal performance under both steady state and transient conditions. Inside the servers and heat exchangers, the flow and heat transfer processes are modeled using a set of differential equations solved in MATLAB™. This solution is coupled with ANSYS-Fluent™, which computes the three-dimensional velocity, temperature, and turbulence on the Airside. The two approaches proposed (ODF and OUF) are evaluated and compared by estimating their cooling effectiveness and the local Entropy Generation. The latter allows identifying the zones within the room responsible for increasing the inefficiencies (irreversibilities) of the system. Both approaches demonstrated similar performance, with a small advantage shown by OUF. The results of this investigation demonstrated a promising approach of data center on-demand cooling scenarios.

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