D. E. Winterbone

Bio: D. E. Winterbone is an academic researcher from University of Manchester. The author has contributed to research in topics: Turbocharger & Combustion. The author has an hindex of 3, co-authored 3 publications receiving 539 citations.

The thermodynamics and gas dynamics of internal-combustion engines

Abstract: This volume gathers together papers by leading authorities on internal combustion engines, completing the work begun in the first volume by R.S. Benson. These state-of-the-art essays examine various methods of evaluating the performance of engines, including considerations of scavenging, in-cylinder flows, turbocharger matching, heat transfer, and a section on the modelling of pressure exchangers. This is the most comprehensive analytical text available on the subject, containing detailed analyses of internal combustion engines previously found only in technical papers.

A Comparison between Experimental and Analytical Transient Test Results for a Turbocharged Diesel Engine

Abstract: A computer controlled diesel engine test-bed is described. The system is capable of excursions into regions of very low air-fuel ratio operation without damage to the engine; this enables the engine "steady-state" characteristics to be measured for off-design operating conditions. A computer-based data acquisition system was developed to acquire test-bed results under engine transient operating conditions. An analogue computer model of the engine was constructed using the steady-state characteristics of the engine as obtained from on- and off-design. This model operated in real-time and was suitable for both studies of engine control systems and the testing of control hardware. Results obtained from the test-bed and the model are compared. It is shown that good agreement can be achieved by minor modifications to the model based on steady state results. /Author/TRRL/

A Combustion Correlation for Diesel Engine Simulation

Abstract: An apparent heat release rate (AHRR) correlation is presented for direct injection diesel engines. It is based on algebraic expressions describing the fuel burning rate as a function of dominant controlling parameters, such as ignition delay and equivalence ratio. Relating the burning rate to these parameters permits the AHRR at one engine running condition to be linked to the AHRR at another condition. By simulating the combustion process via an analytical expression whose governing parameters are linked to in-cylinder conditions, the AHRR empirical correlation simulates the combustion process (heat release) and enables the effect of many engine design and ambient condition changes to be predicted automatically, such as compressor and turbocharger match, valve and injection timing, compression ratio, aftercooling, and other engine design parameters. The correlation includes the influence of these parameters both on combustion and on the turbocharging process. While the experimental approach can reduce engine development costs, it should not replace fundamental research on diesel engine combustion nor detailed mathematical combustion modeling since it cannot predict the effect of combustion chamber design changes.

Turbocharged Diesel Engine Modeling for Nonlinear Engine Control and State Estimation

Abstract: Engine models that are used for nonlinear diesel engine control, state estimation, and model-based diagnostics are presented in this paper. By collecting, modifying, and adding to current available engine modeling techniques, two diesel engine models, a mean torque production model and a cylinder-by-cylinder model, are summarized for use in the formulation of control and state observation algorithms. In the cylinder-by-cylinder model, a time-varying crankshaft inertia model is added to a cylinder pressure generator to simulate engine speed variations due to discrete combustion events. Fuel injection timing and duration are control inputs while varying engine speed, cylinder pressure, and indicated torque are outputs from simulation. These diesel engine models can be used as engine simulators and to design diesel engine controllers and observers.