Article
Chemistry, Analytical
Shiyao Liu, Wei Guo, Yu Hua, Wudian Kou
Summary: This paper proposes a propagation delay prediction model based on a Back-Propagation neural network (BPNN) for a complex meteorological environment, which can effectively predict the propagation delay fluctuation in the next few days. The proposed model shows significantly improved overall performance compared to existing linear models and simple neural network models.
Article
Energy & Fuels
Vishal Patil, Paramvir Singh, Sachin Sonage, Neeraj Kumbhakarna, Sudarshan Kumar
Summary: The formulation of effective gasoline surrogates is a challenging task. This study investigates a new approach of proposing the next generation gasoline surrogates through direct testing in a real SI engine. The results show that two of the tested surrogates closely resemble commercial gasoline fuels and can be used for modeling IC engines.
Article
Computer Science, Information Systems
Junjie Huang, Liang Tan, Wenjuan Li, Keping Yu
Summary: Edge computing and blockchain technology offer a solution for efficient data processing and security challenges in smart cities, but issues like network propagation delay and blockchain forks need to be addressed to enhance performance.
JOURNAL OF INFORMATION SECURITY AND APPLICATIONS
(2021)
Article
Energy & Fuels
Jin Yu, Jun-ming Cao, Jia-jia Yu
Summary: The study developed surrogate models for HRD-76 and F-76 diesel fuels and validated them against experiments, showing good agreement on ignition delay times, laminar flame speeds, and extinction strain rates. Key reactions of the surrogate fuels were compared through sensitivity analysis, providing insights into the combustion characteristics of HRD-76 and F-76 fuels. This research can support engine combustion simulations using CFD.
Article
Biochemistry & Molecular Biology
Chao Yang, Zhaolei Zheng
Summary: In order to improve the efficiency of internal combustion engines and reduce emissions, the development of new combustion technologies is necessary. A simplified mechanism consisting of 115 species and 414 reactions was developed to predict the ignition and combustion behaviors of gasoline surrogate fuels composed of five components.
Article
Spectroscopy
Mina Sadrara, Mohammadreza Khanmohammadi Khorrami
Summary: Oxidative desulfurization (ODS) is a method for treating diesel fuels that has gained attention due to its mild working conditions and effective removal of aromatic sulfur compounds. This article investigates the use of a non-parametric regression algorithm, principal component analysis-multivariate adaptive regression splines (PCA-MARS), as an alternative to back propagation artificial neural network (BP-ANN) for predicting sulfone concentration during the ODS process.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2023)
Article
Environmental Sciences
Ying Deng, Xiaoling Zhou, Jiao Shen, Ge Xiao, Huachang Hong, Hongjun Lin, Fuyong Wu, Bao-Qiang Liao
Summary: This study investigated the feasibility of different prediction models for estimating the occurrence of haloketones in water supply systems. The results showed that RBF and BP artificial neural networks outperformed linear/log linear models in terms of prediction ability, with RBF ANN demonstrating the capability to recognize complex nonlinear relationships between haloketones occurrence and water quality.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Environmental Sciences
Jiawei Tian, Yan Liu, Wenfeng Zheng, Lirong Yin
Summary: Smog pollution is a significant global problem requiring further research and prediction. This paper proposes a deep learning technology based on a Deep Belief-Back Propagation neural network to predict and prevent smog pollution using air pollution data in Sichuan. The results show that the prediction accuracy is higher with more hidden layers, and PM2.5 can be predicted more accurately than PM10 using this network.
Article
Engineering, Chemical
Hanlin Zhang, Hao Lu, Fan Xie, Tianshun Ma, Xiang Qian
Summary: This study proposes a combustion regime identification method based on unsupervised machine learning, and validates its effectiveness and accuracy through experiments. The method can objectively and reliably identify different combustion regimes of flames, and provide further analysis support for flame characteristics.
Article
Engineering, Environmental
Shu-Zhe Zhang, Shuo Chen, Hong Jiang
Summary: In this study, a high accuracy BPANN model was developed to predict denitrification efficiency using a 1-year operating database. The model can be applied to different treatment processes and can be adjusted by optimizing the training data ratio.
Article
Environmental Sciences
Xinzi Wang, Kejia Wang, Jiamu Ding, Xinqi Chen, Yi Li, Wenlong Zhang
Summary: This study aims to investigate the impact of urbanization on water quality and predict future trends. The overall water quality in Nanjing is projected to remain good over the next decade, but there is a potential increase in volatile phenol index to be monitored. Industrial wastewater and fertilizer usage, as primary sources of volatile phenols, should continue to be controlled and monitored in the future.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Integrative & Complementary Medicine
Jia-Qian Chen, Yan-Yan Chen, Xia Du, Hui-Juan Tao, Zong-Jin Pu, Xu-Qin Shi, Shi-Jun Yue, Gui-Sheng Zhou, Er-Xin Shang, Yu-Ping Tang, Jin-Ao Duan
Summary: By using fuzzy chemical identification and BP neural network association analysis, it was found that the bioactive components for different efficacies of rhubarb were not exactly the same. Some components were universal, while others were individual characteristics.
Article
Engineering, Multidisciplinary
Lin Wang, Xinbao Liu, Ping Fan, Lin Zhu, Kai Zhang, Kai Wang, Chaolu Song, Siyu Ren
Summary: A coupled model combining BP-ANN and an improved 0 model was proposed to predict the long-term creep life of P91 steel. The model was validated using short-term rupture life data from creep experiments and creep data from the NIMS database. By using creep parameters as input and introducing prediction errors from the BP-ANN method, the 0 model extrapolation results were corrected to achieve a more accurate prediction. The proposed model showed a better prediction capability for the long-term creep life of P91 steel with 200,000 h, with a prediction uncertainty of less than 5%.
INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING
(2023)
Article
Chemistry, Analytical
Xuejun Wu, Xuemei Wu, Huacheng Huang, Fugui Zhang, Yuxin Wen
Summary: This paper investigates pepper maturity recognition models using hyperspectral technology to improve economic benefits by accurately identifying the maturity during harvesting. The KELM and PCA-KELM models achieve higher precision and require less data compared to the other models. The PCA-KELM model, using only four feature wavelengths as inputs, achieves high recognition accuracy and training speed.
ANALYTICAL LETTERS
(2023)
Article
Computer Science, Artificial Intelligence
Assem Badr
Summary: In order to achieve faster machine learning, this research proposes a new BP rule called ILR-ML. ILR-ML introduces the concept of Learning Ratio and performs the full BP algorithm with 100% accuracy per each learning iteration, making it more suitable for online machine learning.
NEURAL COMPUTING & APPLICATIONS
(2021)
Article
Engineering, Multidisciplinary
ZhenYang Ming, HaiFeng Liu, QianLong Wang, ZongYu Yue, YanQing Cui, MingSheng Wen, MingFa Yao
Summary: This study established neural networks and optimization algorithms to determine the thermophysical properties of hydrocarbon fuels at supercritical pressure, developing models that can predict physical properties of fuels over a wide temperature range, offering an efficient tool for prediction.
SCIENCE CHINA-TECHNOLOGICAL SCIENCES
(2022)
Article
Energy & Fuels
Mao Lin, Xiaoteng Zhang, Mingsheng Wen, Chuanqi Zhang, Xiangen Kong, Zhiyang Jin, Zunqing Zheng, Haifeng Liu
Summary: Upgrading fuel quality has become one of the most important trends in the development of internal combustion engines in order to meet stricter emissions and fuel consumption regulations. This study found that adding unconventional additives to gasoline can decrease fuel consumption and gaseous emissions, as well as shorten acceleration time.
Article
Energy & Fuels
Yanqing Cui, Haifeng Liu, Mingsheng Wen, Lei Feng, Can Wang, Zhenyang Ming, Zhao Zhang, Zunqing Zheng, Hua Zhao, Xinyan Wang, Long Liu, Mingfa Yao
Summary: This study investigates two modes of dual-fuel combustion using methanol and examines their combustion characteristics using an optical engine and chemical kinetics simulation. The results show that methanol ATAC and RCCI exhibit different combustion behaviors and can be further improved by adjusting parameters.
Review
Energy & Fuels
Junheng Liu, Lejian Wang, Pan Wang, Ping Sun, Haifeng Liu, Zhongwei Meng, Lidong Zhang, Hongjie Ma
Summary: The application of Polyoxymethylene dimethyl ethers (PODE), an oxygenated alternative fuel, in diesel engines shows promising results in terms of combustion and emission characteristics. PODE has advantages in reducing emissions of particulate matter and greenhouse gases, achieving carbon neutrality, and diversifying fuel options.
Article
Thermodynamics
Zhao Zhang, Haifeng Liu, Zongyu Yue, Yang Li, He Liang, Xiangen Kong, Zunqing Zheng, Mingfa Yao
Summary: This study investigates the effects of compressed air characteristics on the thermal-work conversion process in a diesel engine. The results indicate that the pressure and temperature of the compressed air significantly affect the thermal efficiency of the diesel engine, as well as the emissions of soot and nitrogen oxides.
INTERNATIONAL JOURNAL OF GREEN ENERGY
(2023)
Article
Energy & Fuels
Haifeng Liu, Jeffrey Dankwa Ampah, Yang Zhao, Xingyu Sun, Linxun Xu, Xueli Jiang, Shuaishuai Wang
Summary: Arguably, climate change is currently one of the most important issues the world is facing. Without immediate action, the world is on track to experience extreme levels of global temperature rise due to the current rate of fossil fuel consumption. Transforming the energy system from fossil fuels to carbon-neutral alternatives requires unprecedented speed, and direct electrification alone is not enough in hard-to-abate sectors. This perspective paper discusses the roles of alternative carbon-neutral fuels and concludes with the challenges and future directions associated with them.
Article
Energy & Fuels
Xingyu Sun, Mengjia Li, Jincheng Li, Xiongbo Duan, Can Wang, Weifan Luo, Haifeng Liu, Jingping Liu
Summary: Ammonia can achieve nearly zero carbon emissions as an alternative fuel for internal combustion engines. Mixed combustion of ammonia with hydrocarbons can improve its combustion characteristics. The study investigates the performance of selective catalytic reduction technology in reducing emissions from ammonia-diesel dual-fuel engines.
Article
Energy & Fuels
Mingsheng Wen, Haifeng Liu, Yanqing Cui, Zhenyang Ming, Lei Feng, Mingfa Yao
Summary: This study investigates the characteristics of methanol active-thermal atmosphere combustion (ATAC) using different optical diagnostics. The results show that ATAC can be divided into two combustion processes, which can be adjusted by changing the direct injection timing of methanol.
Editorial Material
Energy & Fuels
Zongyu Yue, Haifeng Liu
Summary: The role of IC engines for future transport and energy systems is discussed in this Editorial, along with recommended research directions for advancing IC engine and fuel technologies. Finally, 14 technical papers collected for this Special Issue are introduced, covering a wide range of research topics, including diesel spray characteristics, combustion technologies for low- and zero-carbon fuels, advanced combustion mode, fuel additive effects, engine operation under extreme conditions, and advanced materials and manufacturing processes.
Review
Energy & Fuels
Chao Jin, Xiaodan Li, Teng Xu, Juntong Dong, Zhenlong Geng, Jia Liu, Chenyun Ding, Jingjing Hu, Ahmed El Alaoui, Qing Zhao, Haifeng Liu
Summary: The use of zero-carbon and carbon-neutral fuels can reduce emissions of conventional pollutants, but their combustion products can have toxic effects on human health. Metals, nitrogen oxides, and ammonia emitted from these fuels are harmful to human health, while exhaust emissions from carbon-neutral fuels cause severe cellular damage. This review provides insights for exhaust emission management and health assessment, and serves as a theoretical and experimental basis for further research.
Article
Energy & Fuels
Dongzhi Gao, Mubasher Ikram, Chao Geng, Yangyi Wu, Xiaodan Li, Chao Jin, Zunqing Zheng, Mengliang Li, Haifeng Liu
Summary: This study investigated the influence of adding fusel as a fuel additive on the performance and emissions of a six-cylinder heavy-duty compression-ignition engine under the WHSC test cycle. The results showed that the addition of fusel improved engine efficiency, reduced NOx and soot emissions, and the best improvement effect was observed with hydrous fusel. The findings suggest that adding 20% hydrous fusel, combined with the introduction of EGR, can directly be applied to existing diesel engines to achieve a simultaneous reduction in fuel consumption and emissions.
Article
Engineering, Multidisciplinary
Qianlong Wang, Zhiwen Yan, Chaomin Li, Yanqing Cui, Mingsheng Wen, Haifeng Liu, Mingfa Yao
Summary: This study investigates the effect of NH3 dilution on soot formation and provides high-fidelity datasets for refining the soot formation model dominated by NH3. The results show that the chemical effect of NH3 plays the dominant role in soot suppression.
SCIENCE CHINA-TECHNOLOGICAL SCIENCES
(2023)
Article
Chemistry, Applied
Zhenyang Ming, Bo Liu, Xuan Zhang, Mingsheng Wen, Haifeng Liu, Yanqing Cui, Ying Ye, Can Wang, Chao Jin, Abdulfatah Abdu Yusuf, Ephraim Bonah Agyekum
Summary: This study investigates the flame structure, soot formation, and combustion stability of methanol spray flames compared to conventional fuels. Results show that methanol spray flames exhibit different characteristics and less combustion stability compared to other fuels.
FUEL PROCESSING TECHNOLOGY
(2023)
Article
Thermodynamics
Yifan Yang, Haodong Zhang, Linye Li, Mingming Gu, Xi Xia, Fei Qi
Summary: This paper investigates the formation of a blue whirl by controlling tangential and radial airflows. By using a unique fire whirl apparatus, the blue whirl can be formed directly upon ignition without going through the transient phase. The study also discovers new flame regimes and explores the mechanism behind the formation and transition of the blue whirl.
COMBUSTION AND FLAME
(2024)
Article
Thermodynamics
Xiaobin Qi, Songyan Gao, Zhiping Zhu, Qinggang Lyu, Haixia Zhang
Summary: This study experimentally investigated the propagation characteristics of reverse combustion under oxygen-limited and enriched conditions. The contribution of volatiles gas-phase oxidation and char surface oxidation to reverse combustion was evaluated. The results showed that oxygen enrichment expanded the operating range of oxygen flow rate for reverse combustion and enhanced the low-temperature oxidation of the solid fuel. The findings provide a better understanding of the driving mechanism of reverse combustion and have important implications for efficient thermal conversion of solid fuels.
COMBUSTION AND FLAME
(2024)
Article
Thermodynamics
Bingjie Chen, Peng Liu, Bingzhi Liu, Zhandong Wang, Xiang Gao, William L. Roberts
Summary: In this study, the low temperature oxidation of 1,2,4-trimethylbenzene was investigated using experiments and numerical simulations. The results showed the presence of toxic oxygenated aromatic compounds and proposed potential formation pathways. The numerical simulations accurately predicted the mole fractions of most compounds, but some compounds were missing.
COMBUSTION AND FLAME
(2024)
Article
Thermodynamics
Meng Sui, Zhiheng Zhu, Fashe Li, Hua Wang
Summary: The effect of adding ferrocene as a combustion catalyst to Jatropha biodiesel on its pyrolysis and combustion performance is investigated. The results show that adding ferrocene reduces activation energy and harmful emissions while improving combustion efficiency.
COMBUSTION AND FLAME
(2024)
Article
Thermodynamics
Manaf Sheyyab, Mohammed Abdulrahman, Subharaj Hossain, Patrick T. Lynch, Eric K. Mayhew, Kenneth Brezinsky
Summary: Fuel surrogates, simplified representations of complex fuels, accurately model speciation results and reaction kinetics, reproduce the ignition quality and chemical functional group compositions of their parent fuels.
COMBUSTION AND FLAME
(2024)
Article
Thermodynamics
Yan Wang, Shumeng Xie, Hannes Bottler, Yiqing Wang, Xinyi Chen, Arne Scholtissek, Christian Hasse, Zheng Chen
Summary: This study investigates how flow affects the ignition and transition process of a cool flame. The results show that the ignition energy determines the highest temperature and the strain rate influences the flame propagation and the transition from cool flame to hot flame.
COMBUSTION AND FLAME
(2024)
Article
Thermodynamics
Tanusree Chatterjee, Mengyuan Wang, Goutham Kukkadapu, Chih-Jen Sung, William J. Pitz
Summary: Cycloalkanes, including cyclohexane, are important hydrocarbons in transportation fuels. However, limited oxidation data at low-to-intermediate temperatures and inadequate predictive ability of kinetic models have hindered the understanding and improvement of cyclohexane oxidation. This study provides experimental and modeling results to develop a more accurate kinetic model for cyclohexane oxidation.
COMBUSTION AND FLAME
(2024)
Article
Thermodynamics
Tao Wu, Erik Hagen, Haiyang Wang, Dylan J. Kline, Michael R. Zachariah, Carole Rossi
Summary: It was found that incorporating CuO into Al/I2O5 can significantly reduce the ignition time and enhance the combustion performance. The optimum composition of 80/20 wt% of I2O5/CuO shows a 30 times shorter ignition time and produces a peak pressure and pressurization rate 4 and 26 times greater than traditional Al/I2O5. A series of characterizations helped unravel the cause of improvement and propose a reaction mechanism for this ternary Al/I2O5/CuO system. This study proposes a facile, inexpensive, and efficient way to enhance the combustion performance of Al/I2O5 biocidal nanoenergetic materials.
COMBUSTION AND FLAME
(2024)
Article
Thermodynamics
Mahmoud Gadalla, Shervin Karimkashi, Islam Kabil, Ossi Kaario, Tianfeng Lu, Ville Vuorinen
Summary: In this study, the flame initiation process in dual-fuel spray assisted combustion is explored through scale-resolved simulations, providing numerical evidence on the initiation of premixed flames. It is found that there is a transient mixed-mode combustion phase after ignition, followed by a primarily deflagrative combustion mode. The interactions between turbulence and premixed flame front are characterized in the corrugated regime.
COMBUSTION AND FLAME
(2024)
Article
Thermodynamics
Neeraj Kumar Pradhan, Arindrajit Chowdhury, Debasis Chakraborty, Neeraj Kumbhakarna
Summary: In this study, a modified model for predicting the burn rate of composite solid propellants is proposed. The model has been validated against experimental and theoretical results, and it outperforms existing models in all cases considered. The model is highly robust and provides results quickly, making it highly efficient in terms of time, effort, and computational resources.
COMBUSTION AND FLAME
(2024)
Article
Thermodynamics
Lili Ye, Zhihe Zhang, Fan Wang, Xiaodong Wang, Yiming Lu, Lei Zhang
Summary: This study investigated the pyrolysis mechanism of octahydro-1,3,5,7-tetranitro-1,3,5,7-tetrazocine (HMX) explosive using ab initio and kinetic modeling simulations. The results showed that N-NO2 bond fission and C-H beta-scission are important channels in the decomposition of HMX.
COMBUSTION AND FLAME
(2024)
Article
Thermodynamics
Andrei N. Lipatnikov, Hsuchew Lee, Peng Dai, Minping Wan, Vladimir A. Sabelnikov
Summary: This study investigates the importance of thermodiffusive and hydrodynamic instabilities of laminar flames in turbulent flows through numerical simulations. The analysis suggests that laminar flame instabilities play a minor role at sufficiently high Karlovitz numbers.
COMBUSTION AND FLAME
(2024)
Article
Thermodynamics
Shijie Xu, Yue Qiu, Leilei Xu, Jianqing Huang, Shen Li, Elna J. K. Nilsson, Zhongshan Li, Weiwei Cai, Marcus Alden, Xue-Song Bai
Summary: Metal powder is a promising carbon-free and recyclable energy carrier. In this study, a computational model for the combustion and phase change of micron-sized iron particles was proposed and validated. The model successfully captures the melting, surface reactions, cooling, and solidification processes. The study also reveals a two-stage solidification phenomenon and identifies a diffusion-controlled mechanism during the melting process. The reaction between iron and CH4/O2/N2 flame products is found to play a significant role in the iron combustion process.
COMBUSTION AND FLAME
(2024)
Article
Thermodynamics
Khalid Aljohani, Abd El-Sabor Mohamed, Haitao Lu, Henry J. Curran, S. Mani Sarathy, Aamir Farooq
Summary: This study investigates the impact of exhaust gas recirculation (EGR) and NOx on the ignition delay time of oxygenated gasoline. A gasoline surrogate model is developed and the experimental data are useful for predicting fuel ignition behavior in internal combustion engines. The results show that EGR inhibits gasoline reactivity, while NOx has a promoting effect at high temperatures. This research is important for understanding the combustion behavior of gasoline in engines.
COMBUSTION AND FLAME
(2024)
Article
Thermodynamics
Chengcheng Ao, Jia Yan, Tong Yan, Lidong Zhang, Pan Wang
Summary: This study investigates the inhibitory effect of ammonia blended with hydrocarbon fuels on soot formation. The results show that there is a chemical interaction between ammonia and polycyclic aromatic hydrocarbons (PAHs), blocking the formation of larger PAHs.
COMBUSTION AND FLAME
(2024)