Browse Topic: Exhaust pipes
Exhaust gas recirculation technology is one of the main methods to reduce engine emissions. The pressure of the intake pipe of turbocharged direct-injection diesel engine is high, and it is difficult to realize EGR technology. The application of Venturi tube can easily solve this problem. In this paper, the working principle of guide-injection Venturi tube is introduced, the EGR system and structure of a turbocharged diesel engine using the guide-injection Venturi tube are studied. According to the working principle of EGR system of turbocharged diesel engine, the model of guide-injection Venturi tube is established, the calculation grid is divided, and it is carried out by using Computational Fluid Dynamics method that the three-dimensional numerical simulation of the internal flow of Venturi tube under different EGR rates injection. The flow field state, velocity field, pressure field and exhaust gas concentration parameters of the mixture formed by air and EGR exhaust gas in Venturi tube are analyzed. The calculation results show that the EGR rate has a great impact on the initial pressure recovery effect before the compression section of the Venturi tube. The greater the EGR rate ejection amount, the worse the pressure recovery effect. In order to meet the requirement of large EGR rate, the Venturi diffuser angle should be reduced while keeping the length of the diffuser section unchanged. The diameter of the throat of the mixing section and the diameter of the EGR ejection port can be appropriately increased, the number of ejection ports can also be appropriately increased. This paper also proves that the Venturi tube of the ejector EGR system can overcome the pressure deficit between the exhaust pipe and the intake pipe of the turbocharged direct-injection diesel engine, which verifies the feasibility of the EGR Technology of the turbocharged direct-injection diesel engine through the Venturi tube.
The automobile industry is going through one of the most challenging times, with increased competition in the market which is enforcing competitive prices of the products along with meeting the stringent emission norms. One such requirement for BS6 phase 2 emission norms is monitoring for partial failure of the component if the tailpipe emissions are higher than the OBD limits. Recently PM (soot) sensor is employed for partial failure monitoring of DPF in diesel passenger cars.. PM sensor detects soot leakage in case of DPF substrate failure. There is a cost factor along with extensive calibration efforts which are needed to ensure sensor works flawlessly. This paper deals with the development of an algorithm with which robust detection of DPF substrate failure is achieved without addition of any sensor in the aftertreatment system. In order to achieve this, a thermodynamic model of DPF substate was created using empirical relations between parameters like exhaust flow rate, exhaust gas temperature and soot mass content. The modeling was done in both empty (no soot) and filled (threshold soot content) DPF substrate conditions. There were two methodologies, namely integration method and normalization method. In integration method the pressure drop across DPF substate in actual running condition is cumulatively summed up and compared with the integrated modelled value achieved from the thermodynamic model. If the ratio between modelled and actual crosses the threshold value, a DPF substrate failure flag is raised. In normalization method, actual pressure drop across DPF is corrected using empirical thermodynamic relations for exhaust temperature and soot mass content. The corrected pressure drop is normalized for the exhaust flow rate and then averaged based on release conditions. If the averaged values is lower than the threshold, a DPF substrate failure flag is raised. DPF substrate failure is intimated only when both the methodologies raise the failure flag. The algorithm was tested with actual failed DPF sample and robust detection was observed (more than 90% detection accuracy) and no misdetection.
Customer preference towards quieter vehicles is ever-increasing. Exhaust tailpipe noise is one of the major contributors to in-cab noise and pass-by-noise of the vehicle. This research proposes a silencer with an integrated acoustic valve to reduce exhaust tailpipe noise. Incident exhaust wave coming from the engine strikes the acoustic valve and generates reflected waves. Incident waves and reflected waves cancel out each other which results in energy loss of the exhaust gas. This loss of energy results in reduced noise at the exhaust tailpipe end. To evaluate the effectiveness of the proposed silencer on the vehicle, NVH (Noise, vibration, and harshness) performance of the proposed silencer was compared with the existing silencer which is without an acoustic valve. A CNG (Compressed natural gas) Bus powered by a six-in-line cylinder engine was chosen for the NVH testing. After NVH evaluation, it was found that when using the proposed silencer, overall exhaust tailpipe orifice noise is reducing by 4-5 dB throughout the engine rpm range. In-cab noise at DEL (Driver ear level) is reducing by 2 dB throughout the engine rpm range except for 1200-1400 rpm range. Pass-by noise is reducing by 1 dB when vehicle is running in 3rd gear and it is reducing by 3 dB when vehicle is running in 4th gear.
Decarbonization of commercial vehicles and off-highway machines is rapidly becoming a hot-button topic among regulators in the EU, Asia and North America. In addition to cracking down on emissions of light vehicles, various government agencies are now looking to reduce the tailpipe emissions from all manner of industrial equipment. Truck & Off-Highway Engineering attended an expert panel at the 2023 SAE COMVEC conference that covered renewable and low-carbon fuels as well as usage of hydrogen. The panel consisted of SMEs and engineers from various OEMs such as the Traton Group company MAN, Aramco and Ballard. They discussed the various ways in which these industries can reduce or even eliminate emissions from their machines while also discussing the economic feasibility of doing so.
Ultrafine particles, in particular solid sub-100 nm particles pose high risks to human health due to their high lung deposition efficiency, translocation to all organs including the brain and their harmful chemical composition; due to dense traffic, the population in urban environments is exposed to high concentrations of those toxic air contaminants, despite these facts, they are still widely neglected. Therefore, the EU-Commission set up a program for clean and competitive solutions for different problem areas which are regarded to be hotspots of such particles. HORIZON AeroSolfd is an EU project, co-funded by Switzerland that will deliver affordable, adaptable, and sustainable retrofit solutions to reduce exhaust tailpipe emissions from petrol engines, brake emissions and pollution in semi-closed environments. VERT, a Swiss based international industry organization, has a long research history in the field of nanoparticle filtration and it is in charge of reducing tailpipe emissions of gasoline vehicles by using the best available retrofit filtration technology (BAT). VERT will apply the newest high-efficient GPF technology in three high mileage fleets, in Germany, Switzerland and Israel. The project will also serve as a platform to continue research on PN emissions as well as on secondary emissions from GDI and PFI petrol engines. In addition, the “high emitter phenomena” will be further analysed with a NPTI testing campaign of 1000 gasoline vehicles, including GDI, PFI and GPF equipped vehicles.
Automotives play a very important role in day-to-day human lives. The exhaust gas emitted from automotive vehicles of current technologies is one of the major contributions to global temperature increment. It is important to develop a system that can conserve energy and incorporate it into current vehicles which are in use. Phase change materials (PCM) are well known for energy storage applications because of their crucial thermophysical property known as latent heat of fusion. The gas from the exhaust pipe of automobiles can be considered a turbulent jet. With this assumption in this study, a system is proposed by combining jet impingement and phase change material at the exhaust pipe of automobiles to recover the thermal energy which is being let out into the atmosphere as waste. Liquid Gallium is chosen as a phase change material for this study because of its high thermal conductivity nature compared to other hydrocarbon-based phase change materials. Initially, a combined numerical study of jet impingement heat transfer and phase change material is performed and the results are chosen as a benchmark. Later the study extends with the application of flow baffles and wall protrusions to enhance energy conservation. The enhancement study comprises four different baffle designs with two different heights and spacings. Also, two different wall protrusion models with different protrusion wavelengths. The numerical results show that the application of flow baffles promisingly enhances energy recovery. On the other hand, the application of wall protrusion shows a significant increment in energy recovery but it is important to choose the proper wavelength for wall protrusion.
In this work, tailpipe carbon monoxide emission from a gasoline powertrain case study vehicle was analyzed for off-cycle (i.e., on road) driving to develop a virtual sensor. The vehicle was equipped with a portable emissions measurement system (PEMS) that measured carbon monoxide concentration and exhaust volumetric flowrate to calculate the mass of carbon monoxide emitted from the tailpipe. The vehicle was also equipped with a tailpipe electrochemical NOx sensor, and a correlation between its linear oxygen signal and the PEMS-measured carbon monoxide concentration was observed. The NOx sensor linear oxygen signal depends on the concentration of several reducing species, and a machine learning model was trained using this data and other features to target the PEMS-measured carbon monoxide mass emission. The model demonstrated a mean absolute percentage error (MAPE) of 19% when using 15 training drive cycles. Finally, a virtual carbon monoxide sensor was developed by removing the tailpipe NOx sensor information from the model feature set and predicting tailpipe carbon monoxide mass. The virtual model MAPE was shown to increase by 5% compared to the earlier version with a tailpipe NOx sensor over the same number of training, validation, and test drive cycles. The minimal degradation in accuracy for the virtual model was hypothesized to result from the fact that narrowband oxygen sensors may contain information regarding how rich or lean the exhaust gas is compared to stoichiometric conditions. This is analogous to the information provided by a wide-band oxygen sensor, but potentially with reduced resolution and accuracy. The data-driven approach was able to produce a novel virtual tailpipe carbon monoxide sensor in a gasoline powertrain using only common powertrain and emission sensors.
To meet stringent emission norms and commercial vehicle customer demands, the selection of an after-treatment system (ATS) plays a considerable role. Therefore, the selected ATS should substantially reduce nitrogen oxide emission by proper decomposition of ammonia and particulate matter without significantly increasing the thermal stress on DPF. Though the BS-VI after-treatment architecture is derived from EURO-VI, only a certain level of technology for the vehicle operating conditions in India can be implemented. However, numerous vehicle operating condition challenges in the Indian market must be explicated. Correspondingly, it should be addressed with a robust durability validation methodology to enhance the ATS product performance in challenging environments. This paper discusses SCR catalysts emission performance and ammonia decomposition durability validation methodology for commercial vehicles. In addition, during various vehicle duty cycle conditions, the effectiveness of DPF and DOC is recognized based on minimized soot loadings in the DPF based on soot regeneration strategies. Hence, on the one hand, the design of DOC is optimized to recognize passive soot regeneration effectively by oxidation NO into NO2. On the other hand, for facilitating regeneration temperature (DOC at >500°C) during HC dosing in the exhaust pipe, DOC catalyst effectiveness is also essential. Accordingly, based on the scenario above, the impact of soot loading and back pressure on DPF material durability is also validated for vehicle operating conditions.
In the recent years and near future, the automotive environmental regulations have been and will be more stringent than ever before. The reduction of cold start tailpipe emission is the key for exhaust aftertreatment and emission control. As one of the effective catalyst heating approaches, EHC can be applied to reduce catalyst L/O time at engine cold start and then improve tailpipe emission with meeting stringent emission regulations such as China6b,Euro6d,US Tier3Bin30 and future China7,Euro7. In this paper, we will review our recent engineering work on EHC development associated with hybrid electrical vehicle for better emission control and exhaust aftertreatment.
A narrow focus on electrification and elimination of tailpipe emissions is unlikely to achieve decarbonization objectives. Renewable power generation is unlikely to keep up with increased demand for electricity. A focus on tailpipe emissions ignores the significant particulate pollution that “zero emission” vehicles still cause. It is therefore vital that energy efficiency is improved. Active travel is the key to green economic growth, clean cities, and unlocking the energy saving potential of public transport. The Challenges of Vehicle Decarbonization reviews the urgent need to prioritize active travel infrastructure, create compelling mass-market cycling options, and switch to hybrid powertrains and catenary electrification for long-haul heavy trucks. The report also warns of the potential increase in miles travelled with the advent of personal automated vehicles as well as the pitfalls of fossil-fuel derived hydrogen power. Click here to access the full SAE EDGETM Research Report portfolio.
A novel laser-absorption gas sensing apparaOn-vehicle Testing at VERtus capable of measuring NO directly within vehicle exhaust was developed and tested. The sensor design was enabled by key advances in the construction of optical probes that are sufficiently compact for deployment in real-world exhaust systems and can survive the harsh, high-temperature, and strongly vibrating environment typical of exhaust streams. Prototype test campaigns were conducted at high-temperature flow facilities intended to simulate exhaust gas conditions and within the exhaust of vehicles mounted on a chassis dynamometer. Results from these tests demonstrated that the sensor prototype is fundamentally free of cross-interference with competing species in the exhaust stream, can achieve a 1 ppmv NO detection limit, and can be operated across the full range of thermodynamic conditions expected for typical vehicle exhausts. These features address the key technological drawbacks associated with electrochemical NOx sensors widely used in current aftertreatment systems while enabling an on-board diagnostic capable of determining NOx output at the tailpipe at a level of accuracy comparable to laboratory-grade instrumentation. Broadly, this novel sensor provides high-quality emissions data needed to help vehicle manufacturers develop powertrains and aftertreatment systems that meet future, more stringent emissions regulations.
The identification of vehicle noise is the basis for studying the acoustic characteristics of vehicles. In this paper, both excitation of noise sources and response of interior noise were identified. Firstly, a transfer path analysis (TPA) model was established to identify the excitation of noise sources, which includes vehicle main noise sources, such as engine, tire, exhaust pipe and muffler. Based on the operational signals and transfer function which were tested in the vehicle semi-anechoic room, the excitation of noise sources was identified using inverse matrix method. Identify result indicated that tires have higher excitation amplitude than engine in high frequency band. Therefore, the transfer path between the tire and the cabin, such as carpet and windshield, should be taken as the focus of acoustic performance improvement. By improving the acoustic material on the transfer path, the loss of sound in the transfer path will be increase. Secondly, the energy superposition method was used to calculate the response of vehicle interior noise based on the established TPA model. In this part, we combine the transfer path analysis and condition power spectrum (CPS) to reduce the correlation among signals. So that we can improve the calculation accuracy of interior noise. The result shows that error between calculated value and test value of interior noise doesn’t exceed 5%, which means the model has a higher identification accuracy for the interior noise. These findings provide important reference value for the improvement of this vehicle’s acoustic performance.
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