IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v125y2017icp509-518.html
   My bibliography  Save this article

Real-time modeling of ringing in HCCI engines using artificial neural networks

Author

Listed:
  • Bahri, Bahram
  • Shahbakhti, Mahdi
  • Aziz, Azhar Abdul

Abstract

Intense ringing operation is one of the major drawbacks associated with homogeneous charge compression ignition (HCCI) engines at high load conditions that limits HCCI operation range and can damage engine parts. This study uses HCCI experimental data to investigate combustion noise and ringing operation in a 0.3 L converted-diesel HCCI engine. A novel method is utilized to operate the HCCI engine in the ringing region by periodic variation in injected fuel amounts. Combustion noise level (CNL) is investigated along with main HCCI combustion parameters and emissions. A strong correlation is found between the CNL and variation of in-cylinder pressure at 10, 15, 20 CAD aTDC (P10, P15 and P20) and maximum in-cylinder pressure (Pmax). These experimental findings are then used to design an artificial neural network (ANN) model to predict CNL for identifying normal and ringing regions. A large amount of experimental data at cyclic and steady-state operating conditions are used to evaluate the ANN noise level (ANL) model. The results indicate that the real-time ANL model can predict CNL with less than 0.5% error for the HCCI engine. The ANL model is of utility to identify engine operating limits to avoid the ringing operation.

Suggested Citation

  • Bahri, Bahram & Shahbakhti, Mahdi & Aziz, Azhar Abdul, 2017. "Real-time modeling of ringing in HCCI engines using artificial neural networks," Energy, Elsevier, vol. 125(C), pages 509-518.
    • Handle: RePEc:eee:energy:v:125:y:2017:i:c:p:509-518
    DOI: 10.1016/j.energy.2017.02.137
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544217303201
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2017.02.137?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Bahlouli, K. & Khoshbakhti Saray, R. & Sarabchi, N., 2015. "Parametric investigation and thermo-economic multi-objective optimization of an ammonia–water power/cooling cycle coupled with an HCCI (homogeneous charge compression ignition) engine," Energy, Elsevier, vol. 86(C), pages 672-684.
    2. Lee, Kyeonghyeon & Cho, Seokwon & Kim, Namho & Min, Kyoungdoug, 2015. "A study on combustion control and operating range expansion of gasoline HCCI," Energy, Elsevier, vol. 91(C), pages 1038-1048.
    3. Bahri, Bahram & Shahbakhti, Mahdi & Kannan, Kaushik & Aziz, Azhar Abdul, 2016. "Identification of ringing operation for low temperature combustion engines," Applied Energy, Elsevier, vol. 171(C), pages 142-152.
    4. Liu, Mao-Bin & He, Bang-Quan & Zhao, Hua, 2015. "Effect of air dilution and effective compression ratio on the combustion characteristics of a HCCI (homogeneous charge compression ignition) engine fuelled with n-butanol," Energy, Elsevier, vol. 85(C), pages 296-303.
    5. Saxena, Samveg & Vuilleumier, David & Kozarac, Darko & Krieck, Martin & Dibble, Robert & Aceves, Salvador, 2014. "Optimal operating conditions for wet ethanol in a HCCI engine using exhaust gas heat recovery," Applied Energy, Elsevier, vol. 116(C), pages 269-277.
    6. Taghavifar, Hadi & Khalilarya, Shahram & Jafarmadar, Samad, 2014. "Diesel engine spray characteristics prediction with hybridized artificial neural network optimized by genetic algorithm," Energy, Elsevier, vol. 71(C), pages 656-664.
    7. Çay, Yusuf & Korkmaz, Ibrahim & Çiçek, Adem & Kara, Fuat, 2013. "Prediction of engine performance and exhaust emissions for gasoline and methanol using artificial neural network," Energy, Elsevier, vol. 50(C), pages 177-186.
    8. Neshat, Elaheh & Saray, Rahim Khoshbakhti, 2014. "Development of a new multi zone model for prediction of HCCI (homogenous charge compression ignition) engine combustion, performance and emission characteristics," Energy, Elsevier, vol. 73(C), pages 325-339.
    9. Baklacioglu, Tolga & Turan, Onder & Aydin, Hakan, 2015. "Dynamic modeling of exergy efficiency of turboprop engine components using hybrid genetic algorithm-artificial neural networks," Energy, Elsevier, vol. 86(C), pages 709-721.
    10. Mack, J. Hunter & Aceves, Salvador M. & Dibble, Robert W., 2009. "Demonstrating direct use of wet ethanol in a homogeneous charge compression ignition (HCCI) engine," Energy, Elsevier, vol. 34(6), pages 782-787.
    11. Bahri, Bahram & Aziz, Azhar Abdul & Shahbakhti, Mahdi & Muhamad Said, Mohd Farid, 2013. "Understanding and detecting misfire in an HCCI engine fuelled with ethanol," Applied Energy, Elsevier, vol. 108(C), pages 24-33.
    12. Olesky, Laura Manofsky & Martz, Jason B. & Lavoie, George A. & Vavra, Jiri & Assanis, Dennis N. & Babajimopoulos, Aristotelis, 2013. "The effects of spark timing, unburned gas temperature, and negative valve overlap on the rates of stoichiometric spark assisted compression ignition combustion," Applied Energy, Elsevier, vol. 105(C), pages 407-417.
    13. Kialashaki, Arash & Reisel, John R., 2014. "Development and validation of artificial neural network models of the energy demand in the industrial sector of the United States," Energy, Elsevier, vol. 76(C), pages 749-760.
    14. Kalogirou, Soteris A. & Florides, Georgios A. & Pouloupatis, Panayiotis D. & Panayides, Ioannis & Joseph-Stylianou, Josephina & Zomeni, Zomenia, 2012. "Artificial neural networks for the generation of geothermal maps of ground temperature at various depths by considering land configuration," Energy, Elsevier, vol. 48(1), pages 233-240.
    15. Yang, Dong-bo & Wang, Zhi & Wang, Jian-Xin & Shuai, Shi-jin, 2011. "Experimental study of fuel stratification for HCCI high load extension," Applied Energy, Elsevier, vol. 88(9), pages 2949-2954.
    16. Saxena, Samveg & Schneider, Silvan & Aceves, Salvador & Dibble, Robert, 2012. "Wet ethanol in HCCI engines with exhaust heat recovery to improve the energy balance of ethanol fuels," Applied Energy, Elsevier, vol. 98(C), pages 448-457.
    17. Rezaei, Javad & Shahbakhti, Mahdi & Bahri, Bahram & Aziz, Azhar Abdul, 2015. "Performance prediction of HCCI engines with oxygenated fuels using artificial neural networks," Applied Energy, Elsevier, vol. 138(C), pages 460-473.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. S. Charan Kumar & Amit Kumar Thakur & J. Ronald Aseer & Sendhil Kumar Natarajan & Rajesh Singh & Neeraj Priyadarshi & Bhekisipho Twala, 2022. "An Experimental Analysis and ANN Based Parameter Optimization of the Influence of Microalgae Spirulina Blends on CI Engine Attributes," Energies, MDPI, vol. 15(17), pages 1-19, August.
    2. Noh, Hyun Kwon & No, Soo-Young, 2017. "Effect of bioethanol on combustion and emissions in advanced CI engines: HCCI, PPC and GCI mode – A review," Applied Energy, Elsevier, vol. 208(C), pages 782-802.
    3. Simsek, Suleyman & Uslu, Samet & Simsek, Hatice, 2022. "Proportional impact prediction model of animal waste fat-derived biodiesel by ANN and RSM technique for diesel engine," Energy, Elsevier, vol. 239(PD).
    4. Fagundez, J.L.S. & Lanzanova, T.D.M. & Martins, M.E.S. & Salau, N.P.G., 2020. "Joint use of artificial neural networks and particle swarm optimization to determine optimal performance of an ethanol SI engine operating with negative valve overlap strategy," Energy, Elsevier, vol. 204(C).
    5. Mehra, Roopesh Kumar & Duan, Hao & Luo, Sijie & Rao, Anas & Ma, Fanhua, 2018. "Experimental and artificial neural network (ANN) study of hydrogen enriched compressed natural gas (HCNG) engine under various ignition timings and excess air ratios," Applied Energy, Elsevier, vol. 228(C), pages 736-754.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bahri, Bahram & Shahbakhti, Mahdi & Kannan, Kaushik & Aziz, Azhar Abdul, 2016. "Identification of ringing operation for low temperature combustion engines," Applied Energy, Elsevier, vol. 171(C), pages 142-152.
    2. Noh, Hyun Kwon & No, Soo-Young, 2017. "Effect of bioethanol on combustion and emissions in advanced CI engines: HCCI, PPC and GCI mode – A review," Applied Energy, Elsevier, vol. 208(C), pages 782-802.
    3. Pachiannan, Tamilselvan & Zhong, Wenjun & Rajkumar, Sundararajan & He, Zhixia & Leng, Xianying & Wang, Qian, 2019. "A literature review of fuel effects on performance and emission characteristics of low-temperature combustion strategies," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    4. Rezaei, Javad & Shahbakhti, Mahdi & Bahri, Bahram & Aziz, Azhar Abdul, 2015. "Performance prediction of HCCI engines with oxygenated fuels using artificial neural networks," Applied Energy, Elsevier, vol. 138(C), pages 460-473.
    5. Bendu, Harisankar & Deepak, B.B.V.L. & Murugan, S., 2017. "Multi-objective optimization of ethanol fuelled HCCI engine performance using hybrid GRNN–PSO," Applied Energy, Elsevier, vol. 187(C), pages 601-611.
    6. Andwari, Amin Mahmoudzadeh & Aziz, Azhar Abdul & Said, Mohd Farid Muhamad & Latiff, Zulkarnain Abdul, 2014. "Experimental investigation of the influence of internal and external EGR on the combustion characteristics of a controlled auto-ignition two-stroke cycle engine," Applied Energy, Elsevier, vol. 134(C), pages 1-10.
    7. Lanzanova, Thompson Diórdinis Metzka & Dalla Nora, Macklini & Martins, Mario Eduardo Santos & Machado, Paulo Romeu Moreira & Pedrozo, Vinícius Bernardes & Zhao, Hua, 2019. "The effects of residual gas trapping on part load performance and emissions of a spark ignition direct injection engine fuelled with wet ethanol," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    8. Wang, Xiaochen & Gao, Jianbing & Chen, Zhanming & Chen, Hao & Zhao, Yuwei & Huang, Yuhan & Chen, Zhenbin, 2022. "Evaluation of hydrous ethanol as a fuel for internal combustion engines: A review," Renewable Energy, Elsevier, vol. 194(C), pages 504-525.
    9. Neshat, Elaheh & Saray, Rahim Khoshbakhti & Hosseini, Vahid, 2016. "Effect of reformer gas blending on homogeneous charge compression ignition combustion of primary reference fuels using multi zone model and semi detailed chemical-kinetic mechanism," Applied Energy, Elsevier, vol. 179(C), pages 463-478.
    10. Qian, Yong & Li, Hua & Han, Dong & Ji, Libin & Huang, Zhen & Lu, Xingcai, 2016. "Octane rating effects of direct injection fuels on dual fuel HCCI-DI stratified combustion mode with port injection of n-heptane," Energy, Elsevier, vol. 111(C), pages 1003-1016.
    11. Rahimi Boldaji, Mozhgan & Gainey, Brian & Lawler, Benjamin, 2019. "Thermally stratified compression ignition enabled by wet ethanol with a split injection strategy: A CFD simulation study," Applied Energy, Elsevier, vol. 235(C), pages 813-826.
    12. Lanzanova, Thompson Diórdinis Metzka & Dalla Nora, Macklini & Zhao, Hua, 2016. "Performance and economic analysis of a direct injection spark ignition engine fueled with wet ethanol," Applied Energy, Elsevier, vol. 169(C), pages 230-239.
    13. Wang, Xinyan & Zhao, Hua & Xie, Hui, 2016. "Effect of dilution strategies and direct injection ratios on stratified flame ignition (SFI) hybrid combustion in a PFI/DI gasoline engine," Applied Energy, Elsevier, vol. 165(C), pages 801-814.
    14. Song, Kang & Wang, Xinyan & Xie, Hui, 2018. "Trade-off on fuel economy, knock, and combustion stability for a stratified flame-ignited gasoline engine," Applied Energy, Elsevier, vol. 220(C), pages 437-446.
    15. Chen, Lin & Zhang, Ren & Pan, Jiaying & Wei, Haiqiao, 2020. "Effects of partitioned fuel distribution on auto-ignition and knocking under spark assisted compression ignition conditions," Applied Energy, Elsevier, vol. 260(C).
    16. Charalambides, A.G. & Sahu, S. & Hardalupas, Y. & Taylor, A.M.K.P. & Urata, Y., 2018. "Evaluation of Homogeneous Charge Compression Ignition (HCCI) autoignition development through chemiluminescence imaging and Proper Orthogonal Decomposition," Applied Energy, Elsevier, vol. 210(C), pages 288-302.
    17. Cao, Li-hua & Yu, Jing-wen & Li, Yong, 2016. "Study on the determination method of the normal value of relative internal efficiency of the last stage group of steam turbine," Energy, Elsevier, vol. 98(C), pages 101-107.
    18. Saxena, Samveg & Vuilleumier, David & Kozarac, Darko & Krieck, Martin & Dibble, Robert & Aceves, Salvador, 2014. "Optimal operating conditions for wet ethanol in a HCCI engine using exhaust gas heat recovery," Applied Energy, Elsevier, vol. 116(C), pages 269-277.
    19. Chen, Yulin & Dong, Guangyu & Mack, J. Hunter & Butt, Ryan H. & Chen, Jyh-Yuan & Dibble, Robert W., 2016. "Cyclic variations and prior-cycle effects of ion current sensing in an HCCI engine: A time-series analysis," Applied Energy, Elsevier, vol. 168(C), pages 628-635.
    20. Zhou, Lei & Hua, Jianxiong & Wei, Haiqiao & Dong, Kai & Feng, Dengquan & Shu, Gequn, 2018. "Knock characteristics and combustion regime diagrams of multiple combustion modes based on experimental investigations," Applied Energy, Elsevier, vol. 229(C), pages 31-41.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:125:y:2017:i:c:p:509-518. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.