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Since the birth of the computer age, the drive to bring products to market faster, better and cheaper has been a shared, unparalleled competitive pressure across every engineering design project, regardless of its size or purpose. While the rapid advances in computer power and technology over the past decade have ushered in such powerful technology drivers as CAD (Computer-Aided Design) and CAE (Computer-Aided Engineering), the greatest engineering design productivity bottleneck for most design projects still remains at the human level.

A reason of the lack of agreement between measured pollutants concentration in the air of urban areas and vehicle pollutant emissions evaluated by available emission models is the fact that catalyst performance variability is not considered. In this paper, an experimental study on the effect of performance variability of catalyst on emissions is presented. Average emissions have been measured using driving cycles representative of different levels of urban traffic, determined by statistical methods on the basis of data detected on-road by an instrumented car. For each driving cycle, representative of a certain traffic level, different thermal starting conditions of catalyst have been tested. These conditions have been determined by the characterization of catalyst performance at steady state and are representative of real catalyst conditions experienced on the road.

A method of predicting HC, CO and NOx emissions and fuel-used over drive cycles has been developed. This has been applied to FTP-75 and ECE+EUDC drive cycles amended to include cold-start and warm-up. The method requires only fully-warm steady state indicated performance data to be available for the engine. This is used in conjunction with a model of engine thermal behaviour and friction characteristics, and vehicle/drive cycle specifications enabling engine brake load/speed variations to be defined. A time marching prediction of engine-out emissions and fuel consumption is carried out taking into account factors which include high engine friction and poor mixture preparation after cold-start. Comparisons with experimental data indicate that fuel consumption and emissions can be predicted to quantitative accuracy. The method has been applied to compare and contrast the importance of various operating regimes during the two cycles.

The in cylinder air motion, fuel air mixing, evaporation, combustion and exhaust emissions have been simulated for a four stroke direct injection gasoline engine using the KIVA II code. A strong controlled tumbling air motion was created in the cylinder, through a combination of a conventional pentroof four valve cylinder head, in conjunction with a piston having a stepped crown and offset combustion bowl. A range of injection strategies were employed to optimise combustion rate and exhaust emission (NOx and unburned hydrocarbons (fuel)), at two operating conditions - one with a stoichiometric air fuel mixture and the other with a lean mixture of 30:1 air/fuel ratio. Injection directed towards the piston bowl with a hollow cone jet, in a single pulse, has shown the best results regarding burned mass fraction and level of unburned HC. Fuel concentration, air motion, combustion characteristics and pollutants level are presented for lean and stoichiometric cases.

The selection process of key engine design variables to maximize peak power subject to fuel economy and packaging objectives is formulated as an optimization problem readily solved with nonlinear programming. The merit of this approach lies not in finding a single optimal engine, but in identifying a family of optimal designs dependent on parameter changes in the constraint set. Sensitivity analysis of the optimum to packaging parameters, fuel economy parameters, and manufacturing parameters is presented and discussed in the context of product development decisions.

Multidimensional computations are carried out to aid in the development of a direct injection Diesel engine. Intake, compression, injection and combustion processes are calculated for a turbo-charged direct injection Diesel engine with a single intake valve. The effects of engine speed and engine load, as well as the influence of exhaust gas recirculation are compared to experimental measurements. The influence of piston bowl shape is investigated. Three dimensional calculations are performed using a mesh built from the complete CAD definition of the engine, intake port, cylinder and piston bowl. The injection characteristics are found to be of primary importance in the control of the combustion process. At a given injection set, piston bowl shape can be optimized for fluid dynamic and combustion.

An experimental and numerical study has been conducted on the emission and reduction of HCHO (formaldehyde) and other pollutants formed in the cylinder of a direct-injection diesel engine fueled by methanol. Engine tests were performed under a variety of intake conditions including throttling, heating, and EGR (exhaust gas recirculation) for the purpose of improving these emissions by changing gas compositions and combustion temperatures in the cylinder. Moreover, a detailed kinetics model was developed and applied to methanol combustion to investigate HCHO formation and the reduction mechanism influenced by associated elementary reactions and in-cylinder mixing.

The flow through diesel fuel injector nozzles is important because of the effects on the spray and the atomization process. Modeling this nozzle flow is complicated by the presence of cavitation inside the nozzles. This investigation uses a two-dimensional, two-phase, transient model of cavitating nozzle flow to observe the individual effects of several nozzle parameters. The injection pressure is varied, as well as several geometric parameters. Results are presented for a range of rounded inlets, from r/D of 1/40 to 1/4. Similarly, results for a range of L/D from 2 to 8 are presented. Finally, the angle of the corner is varied from 50° to 150°. An axisymmetric injector tip is also simulated in order to observe the effects of upstream geometry on the nozzle flow. The injector tip calculations show that the upstream geometry has a small influence on the nozzle flow. The results demonstrate the model's ability to predict cavitating nozzle flow in several different geometries.

Research and development (R&D) programmes to optimise engine performance and emissions involve a large number of experimental variables and the optimum solution will normally be a trade-off between several measured responses (e.g. fuel consumption, exhaust emissions and combustion noise). The increasing number of experimental variables and the search for smaller improvements make identification of optimum configurations and robust solutions more demanding. Empirical models are routinely used to explore the trade-offs and identify the optimum engine hardware build and parameter settings. The use of Bayesian methods enables prior engineering knowledge to be explicitly incorporated into the model generation process, which allows useful models to be developed at an earlier stage in the test programme. It also enables a sequential approach to experimental design to be adopted in which the ultimate engineering objectives can be more effectively taken into account.

A fast response NO detector has been developed to study fast transient emissions from internal combustion engines. The device combines the standard ChemiLuminescence Detector (CLD) measurement technique used in conventional NO detectors with the rapid sampling system of an existing Fast Flame Ionisation Detector (FFID) hydrocarbon detector. The 10-90% response time of the fast NO detector is approximately 3 milliseconds and enables resolution of transient NO concentration within individual engine cycles. Both the fast NO and fast HC detectors were fitted in the exhaust port of a firing SI engine. With the probe tips at the same position, simultaneous fast transient NO and HC concentration data have been recorded during steady state and transient engine load conditions. Cycle-by-cycle NO concentration, HC concentration, and cylinder pressure are compared and features of the transient NO and HC concentration are discussed.

A second carbonyl round robin was conducted to enable participating laboratories doing routine analysis of carbonyls in vehicle exhaust emissions to assess their analytical capabilities. Three sets of solutions in acetonitrile containing varying number and amounts of standard DNPH-carbonyls were prepared. The parent carbonyls are known components of vehicle exhaust emissions. The samples were designed to challenge the capabilities of the participants to separate, identify and quantify all the components. The fourteen participating laboratories included automotive, contract, petroleum and regulatory organizations. All participants were able to separate and identify the C3 carbonyls; a few were not able to separate MEK from butyraldehyde and methacrolein from butyraldehyde; and many were not able to separate adequately the isomers of tolualdehyde. Inadequate separation and lack of appropriate standards resulted in a few misidentifications.

Hydrogen sulfide released in the exhaust of gasoline fueled cars equipped with three-way catalysts and related odor troubles result from rich driving conditions (e.g. acceleration) following a storage of sulfur oxides on the catalyst during lean conditions (mid-speed cruise). In order to evaluate the key parameters of this phenomenon, five different european cars were tested on a chassis dynamometer. An original semi-continuous hydrogen sulfide analysis method was designed for this purpose. The test method was developed using an industrial H2S analyzer with a lead acetate impregnated paper tape. Hydrogen sulfide present in exhaust gas reacts with lead acetate and forms lead sulfide with a brown color. H2S content in the exhaust gas is measured by colorimetry using a photoelectric cell. Reaction rate allows an H2S measurement every two seconds. This method allows the recording of high level hydrogen sulfide release peaks.

The real-time concentrations of benzene, toluene, xylene, trimethyl-benzene and naphthalene in vehicle exhaust have been monitored during the FTP-cycle with a time-resolution of 20 ms and a sensitivity of 50 ppb. Using a laser mass spectrometer, the aromatic hydrocarbons in unconditioned exhaust gas at sampling positions behind the exhaust valve, before and behind the catalytic converter have been analyzed. The comparison of the emissions sampled before and behind the catalytic converter reveals the effect of dealkylation of the aromatic hydrocarbons in the catalytic converter. Whereas most of the aromatic hydrocarbons are burned in the hot catalytic converter, however, bursts of aromatic hydrocarbons are released at transient motor operation. In these moments, which can be attributed to phases of closed throttle valve and very low engine load at gear changes, a significant part of the C1-, C2- and C3- benzenes has been converted into benzene.

A study was carried out in which most aspects of dimethyl-ether (DME) as an automotive fuel were critically evaluated. DME appeared to have positive characteristics from both the energy supply and security point of view as from an exhaust emissions point of view. DME can be made from a wide variety of fossil feedstock, among which natural gas and coal, and from renewable feedstock and waste. These energy sources will last longer than crude oil. A comparison was set up between DME and other regular and alternative fuels. This comparison covers engine exhaust emissions and well to wheel energy efficiency and CO2 emissions. It appeared that the exhaust emissions of DME fuelled engines are comparable to lean burn gas engines (heavy-duty) or otto engines with three-way catalyst (light-duty). With respect to well to wheel CO2 emission DME is rated equal to the diesel engine. Compared to natural gas DME measures from about equal (heavy-duty) to about 10% better (light-duty).

In 1992, a Round Robin was sponsored by the CRC's Emissions Analysis Round Robin Subcommittee, to provide an opportunity for automotive emissions laboratories to compare their analytical methodologies with those used in other laboratories. Compressed gas samples were provided to participants to test hydrocarbon methodologies, while liquid samples were used for alcohol and carbonyl analyses. The results of this study were published in SAE 950780 and SAE 941944. A second Round Robin study was conducted in 1995, using the same basic structure as the first study. The results of the carbonyl analyses have been published separately (SAE 971609). The purpose of this paper is to compare methods used for hydrocarbon speciation of emissions by gas chromatography. As in the 1992 study, cylinders of a synthetic exhaust were prepared by using a fuel base, and adding components that would be expected as typical combustion products.

The compositions of hydrocarbons in diesel fuel, exhaust gas and particulates were analyzed and the relationships among them were determined. It was found that the compositions of the hydrocarbons in the exhaust gas were almost the same as that of the fuel, and that the hydrocarbons in the particulates corresponded to their heavy fractions. When the engine condition was fixed, both the soluble organic fraction (SOF) and insoluble fraction ( ISF) showed positive correlation coefficients versus HC×R310, where HC denotes the hydrocarbon emission and R310 denotes the backend fraction, as measured by the fraction of fuel boiling above 310°C. On the other hand, when the engine condition was varied, ISF had negative correlation coefficients versus HC×R310, while SOF showed positive correlation coefficients.

Pollutant emissions from D.I. Diesel engines strongly depend on injection system characteristics and mainly on injection pressure and timing. In the latest years some solutions have been proposed based on very high fuel pressure values (up to 150 MPa). Among them, the so called “Common rail” system configuration, being able to electronically control needle lift and injection pressure, seems to be particularly promising. Much experimental and theoretical work has been done to improve system performance for automotive applications. With the aim of investigating the influence of some details of geometrical configuration on the injector operating mode, a mathematical model able to describe the pressure-time history in any section of the delivery pipe and the fuel injection rate through the nozzle has been developed, based on a semi-implicit finite volumes approach. The computed results have been compared with experimental data provided by the Institut Français du Pétrole.

Methanol, MeOH, is one of the most attractive alternative fuels for internal combustion engines. In diesel applications, methanol's poor ignition properties necessitate the use of expensive additives for ignition improvement [1]. Dimethyl ether, DME, as a combustion improver for methanol, was recently evaluated in [2]. This study is directed towards a better understanding of the auto-ignition and combustion of a blend fuel composition consisting of liquid methanol and gaseous dimethyl ether aspirated with the combustion air by using the results of numerical simulation. The numerical model was based on the computer code KIVA-3. The computational results show that the use of DME as an ignition improver is only reasonable for gas temperatures below 900 K. At typical diesel conditions, an amount of DME in a quantity less than 10-15 volumetric percent of oxygen content in the combustion volume is sufficient for ignition improvement.

A two-dimensional transient Heat Conduction in Components code (HCC) was successfully set up and extensively used to calculate the temperature field existing in real engine combustion chambers. The Saul'yev method, an explicit, unconditionally stable finite difference method, was used in the code. Consideration of the gasket between the cylinder wall and head, and the air gap between the piston and liner were included in the code. The realistic piston bowl shape was modeled with a grid transformation and piston movement was considered. The HCC code was used to calculate the wall temperature of an Isuzu ceramic engine and a Caterpillar heavy-duty diesel engine. The code was combined with the KIVA-II code in an iterative loop, in which the KIVA-II code provided the instantaneous local heat flux on the combustion chamber surfaces, and the HCC code computed the time-averaged wall temperature distribution on the surfaces.

A, three-dimensional CFD code, based on the KIVA code, is used to explore alternatives to conventional DI diesel engine designs for reducing NOx and soot emissions without sacrificing engine performance. The effects of combustion chamber design and fuel spray orientation are investigated using a new proposed GAMMA engine concept, and two new multiple injector combustion system (MICS) designs which utilize multiple injectors to increase gas motion and enhance fuel/air mixing in the combustion chamber. From these computational studies, it is found that both soot and nitrous oxide emissions can be significantly reduced without the need for more conventional emission control strategies such as EGR or ultra high injection pressure. The results suggest that CFD models can be a useful tool not only for understanding combustion and emissions production, but also for investigating new design concepts.