Browse Topic: Diesel / compression ignition engines

Items (11,343)
In order to realize the Paris Agreement, which aims to strengthen the global response to climate change, conventional internal combustion engines (ICE) need to contribute to reducing carbon emissions and improving thermal efficiency. More importantly, in the face of energy shortages, it is urgent to search for sustainable fuels. Poly-oxymethylene dimethyl ethers (PODE) and methanol are both regard as important low-carbon, alternative fuels due to their high oxygen content. Using PODE can overcome the characteristics of methanol as a low-reactivity fuel with a low cetane number and poor ignition properties. In this study, the combustion and emission characteristics of PODE/methanol blends were investigated in a two-stroke direct injection engine. Firstly, the performance of the engine under pure PODE (P100) and PODE/methanol blends (P50) was compared. The results show that at BMEP of 0.31 MPa and injection timing of -8°CA ATDE, P50 blends have lower CO2, CO, NOX and THC emissions than
Dong, PengboSun, ZhuohanWang, QingyangWang, YangCui, JingchenZhang, ZhenxianLong, Wuqiang
With the adoption of the IMO Greenhouse Gas Emission Reduction Strategy Revision, the international shipping industry is facing huge pressure to reduce greenhouse gas emissions, and the conversion of ship power from traditional fossil fuels to low-carbon and zero-carbon fuels is the fundamental solution, and ammonia fuel, as a zero-carbon fuel, is an important direction for the development of ship power in the future. Based on a marine low-speed diesel engine with a bore of 520 mm, computational fluid dynamics (CFD) numerical simulation was carried out to study the effects of different diesel energy fractions, ammonia injection pressure, ammonia injection timing and ammonia diesel injection interval on the combustion and emission characteristics of the engine under the dual-fuel combustion mode of high-pressure dual direct injection. The calculation results show that under the condition of the current engine, 5% of diesel energy can reduce carbon emissions by 92.8% under the premise of
Yang, JinchengLiu, LongGui, Yong
The purpose of the paper is to study the impact of dither on how to improve the pressure control capability in common rail system. The dither is directly operating to the inlet metering valve and making the metering flow accuracy. The correlation between rail pressure and metering flow was analyzed. Optimizing the inlet metering valve control is to improve the pressure control. To overcome the hysteresis problem of the inlet metering valve and improve its stability and rapidity on the pressure control. The PID control strategy based on the pressure control were applied in the common rail system and many papers have introduced the logical. But the dither application was seldom introduced in the common rail system. The dither was specified for the inlet metering valve. With the proper dither signal, the stick-slip motion of the metering valve spool converted to a steady one and the dynamic performance was optimized. To verify the theoretical and calibrated the proper dither signal, the
Kuang, PengdaChen, HuiqingZhang, JingRan, Ye
Under the guidance of carbon neutrality goals, ammonia is expected to become a promising alternative fuel for internal combustion engines. Ammonia-diesel dual-fuel combustion not only effectively reduces carbon emissions but also addresses the issue of ammonia's slow combustion speed, ensuring good engine performance. Ammonia-diesel engines with liquid ammonia direct injection have the potential to further increase the ammonia energy ratio (AER) and reduce unburned ammonia, greenhouse gas (GHG) emissions, as well as NOx emissions. Based on a numerical model of a liquid ammonia direct injection ammonia-diesel engine, this paper compares two different injection system configurations: coaxial and non-coaxial liquid ammonia direct injection, and investigates the effect of AER on combustion and emission characteristics in the non-coaxial mode. The results show that, compared to the non-coaxial mode, the coaxial mode achieves more even fuel distribution and combustion distribution, higher
Liu, YiChen, QingchuQi, YunliangWang, Zhi
NOx after-treatment has greatly limited the development of lean-burn technology for gasoline engines. NH3-Selective Catalytic Reduction (SCR) technology has been successfully applied to NOx conversion in diesel engines. For gasoline engines, SCR catalyst is required to maintain high activity over a higher temperature window. In this study, we utilized a turbocharged and intercooled 2.0 L petrol engine to investigate the NOx conversion of two zeolite-based SCR catalysts, Cu-SSZ-13 and Fe/Cu-SSZ-13, at exhaust flows ranging from 80 to 300 kg/h and exhaust temperatures between 550 to 600°C. The catalysts were characterized using SEM, ICP, XRD, H2-TPR, NH3-TPD, and other methods. The selected Fe/Cu-SSZ-13 catalyst showed higher NOx conversion (>80%) in the temperature range of 550~600oC and 80~300 kg/h exhaust gas flow. NOx output could be controlled below 10ppm. The characterization results showed that although the specific surface area and acidic sites decreased after the aging treatment
Pan, ShiyiWang, RuwenZhang, NanXu, ZhiqinHu, JiangtaoLiao, XiukeDuan, PingpingChen, Ruilian
Predicting the ignition and heat release patterns during diesel combustion processes is of great significance for improving engine efficiency, reducing emissions, and enabling future low-carbon and zero-carbon flexible fuel control. However, traditional Wiebe physical models face challenges in handling the highly nonlinear nature and variable operating conditions of diesel combustion, failing to achieve accurate real-time prediction. Pure data-driven models demand large amounts of data and lack physical interpretability, while physical models based on parameter learning have restricted fitting accuracy due to structural and parameter constraints. To address these issues, this paper proposes a novel Physics-Informed Data-Driven Model. It defines data loss as the deviation between neural network predictions and measured data, and physical loss as the deviation between neural network derivatives and the differential form of the physical model. By minimizing the combined loss, which is a
Zheng, JiaaoSong, KangXie, HuiZhou, ShengkaiSang, HailangHe, Guanzhang
This study’s objective is to examine the combustion and performance of mosambi waste peel biodiesel (MWPB) combined with butylated hydroxytoluene (BHT) nanoparticles as a substitute fuel for diesel engines. It also aims to assess the impact of this blend on engine combustion, such as in-cylinder pressure, heat release rate (HRR), ignition delay (ID), combustion duration (CD) and mass fraction burnt (MFB) and performance indicators, including brake thermal efficiency (BTE), brake-specific energy consumption (BSEC), engine torque, exhaust gas temperature (EGT), indicated mean effective pressure (IMEP), air-fuel ratio (A/F ratio) and volumetric efficiency, while also considering the feasibility of employing waste materials in fuel generation. The experimental configuration utilized a research diesel engine functioning under standard conditions, emphasizing the maintenance of uniform injection pressure to ensure optimal fuel atomization and combustion. The test fuels are diesel, MWPB, MWPB
Jayabal, RavikumarMadhu, S.Devarajan, YuvarajanDomian, Christopher Selvam
A significant amount of chemical fuel energy in internal combustion engines is wasted through exhaust heat. Waste heat recovery (WHR) systems can transform the heat into electrical energy using thermoelectric generators (TEG). This work utilizes a 1D CFD model to demonstrate the potential of TEG-WHR in improving the thermal efficiency of mass-production, compressed natural gas (CNG) engines used in commercial 22-ton heavy-duty trucks. First, the TEG with heat exchanger experiments are performed to measure thermal and electrical performance data under different fin pitches and inlet gas conditions (Re number, temperature, gas flow rate). These data are used to develop and validate a TEG model, which considers user-defined functions of heat transfer and flow friction coefficients to reproduce measured thermal/electrical characteristics of the integrated TEG with its heat exchanger. The engine experiments are conducted based on the speed–torque map (51 test conditions) of the JE05 heavy
Sok, RatnakKusaka, Jin
Lowering carbon emissions from road-based transport is required to achieve climate targets. In addition to passenger cars, long-haul trucks contribute more than one-third of on-road generated carbon emissions. Therefore, this sector has great potential to reduce such emissions. Numerous options including electrified drivetrains are possible. Nevertheless, the existing fleet of trucks powered by conventional diesel engines also needs to be addressed. Additionally, a ramp-up of green electricity and charging infrastructure is required to ensure carbon-neutral and reliable transport. Heavy-duty diesel engines are typically suitable for use with first-generation biofuels. However, operational restrictions, such as shorter oil drain intervals are mandatory for users. In the case at hand, the oil change was mandatory after only 30,000 km when pure biodiesel (B100) was used instead of 120,000 km when operating on conventional, mineral oil-based diesel. These boundaries counter efforts to
Rohbogner, Christoph J.Heine, Carsten
This study presents a method for identifying the reliability state of diesel engines by utilizing artificial neural networks (ANNs). The Sulzer 6AL20/24 marine diesel engine was selected as the test subject for this research. Vibration signals were collected during tests conducted on a laboratory test stand under normal operating conditions and during simulations of six different engine faults. Next, the recorded signals were analyzed and transformed into labeled samples for supervised learning. In this phase, the time histories of the vibration signals were divided into segments and augmented, with several key features calculated for each segment. Highly correlated signals were excluded from further analysis based on the Pearson correlation coefficient. The processed samples were then used to train and fine-tune the ANN. The trained ANN was subsequently used to identify the engine’s reliability state and classify the present fault type. To evaluate the effectiveness of the proposed
Pająk, MichałKluczyk, MarcinMuślewski, ŁukaszLisjak, Dragutin
Letter from the Focus Issue Editors
Lakhlani, HardikKumar, VivekWenbin, YuBagga, KalyanGundlapally, SanthoshDi Blasio, GabrieleSplitter, DerekRajendran, Silambarasan
The objective of this study is to investigate the root cause of cracks detected in the Turbocharger bracket belonging to the engine Mercedes-Benz OM471 (Power: 390kW, Torque: 2600Nm) from Vehicle Truck Mercedes-Benz Actros 2651LS 6x4 Euro V. The investigation started with the instrumentation of every related component (besides the bracket itself, the charge air pipe, the exhaust pipe and also the crankcase for reference) in order to perform a vibration measurement. The necessary equipment to execute this procedure, included accelerometers, temperature sensors, strain gages and an inductive engine speed sensor. All data had to be acquired directly from real application conditions in vehicle, maximum load of 74 ton in a previously defined mountain road track, due to the impossibility to generate similar results in comparison to the ones detected on road through bench tests (or any other in-door experiment). The bracket position is located on the right side of a diesel combustion engine
Feijó, Igor SommerfeldGonçalves, Carlos Aurélio Bustamante
Society in actual engineering must promote sustainable developments in new renewable technologies in the transport sector, with resiliency and low greenhouse gas emissions produced. Pollutant emissions must be reduced to obtain an environmental equilibrium and stabilize part of the world’s climate change. With this, the principal objective of this research is to do different blends of diesel- biodiesel and diesel-hydrogenated biodiesel in proportions of 10, 20, 40, 80, and 100% to evaluate the performance of these samples of fuels in the internal combustion engine (ICE) diesel, model BD 5.0, connected to dynamometer XL43, located in the engines laboratory of University UFVJM, in Diamantina MG- Brazil at 1384 MASL, to obtain torque and power in different conditions of rotation. These tests were performed with blends of diesel-biodiesel and biodiesel- diesel with bubbling hydrogen (H2). The obtained data were developed with different comparisons, and results showed a positive influence
Barón Pinilla, José D.Silva, N. S.Melo, R. A. A.Santos, Alexandre S.Nery, M. C.Junqueira, H. H. B.
The twin challenges of the automotive industry namely petroleum dependence and environmental pollution paved way for the development of an environmentally friendly and feasible substitute for diesel, possessing power characteristics equivalent to those of a diesel engine. Biofuel has potential as a renewable energy source, offering a more sustainable alternative to traditional fossil fuels. However, it does come with some challenges, such as varying quality and combustion properties. To enhance its performance, engines can be fine-tuned by adjusting fuel injection parameters, such as timing, pressure, and duration. Accordingly, this research article focuses on optimizing the fuel injection parameters for a CRDi engine powered by D+LPO (20% lemon peel oil and 80% diesel) biofuel, with the goal of improving both performance and emission characteristics. The experimental design matrix was generated using Design Expert-13 software, employing the I-optimal technique. Utilizing response
Saiteja, PajarlaAshok, B.
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