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A comprehensive experimental investigation of low-temperature combustion with thick thermal barrier coatings

Author

Listed:
  • Yan, Ziming
  • Gainey, Brian
  • Gohn, James
  • Hariharan, Deivanayagam
  • Saputo, John
  • Schmidt, Carl
  • Caliari, Felipe
  • Sampath, Sanjay
  • Lawler, Benjamin

Abstract

Thick thermal barrier coatings (TBCs) have a significant potential to increase thermal efficiency by reducing heat transfer losses. However, in conventional combustion modes, the drawbacks associated with charge heating and higher propensity to knock have outweighed the efficiency benefits. Since the advanced low-temperature combustion (LTC) concepts are fundamentally different from the conventional combustion modes, these penalties do not exist in most of LTCs.

Suggested Citation

  • Yan, Ziming & Gainey, Brian & Gohn, James & Hariharan, Deivanayagam & Saputo, John & Schmidt, Carl & Caliari, Felipe & Sampath, Sanjay & Lawler, Benjamin, 2021. "A comprehensive experimental investigation of low-temperature combustion with thick thermal barrier coatings," Energy, Elsevier, vol. 222(C).
    • Handle: RePEc:eee:energy:v:222:y:2021:i:c:s0360544221002036
    DOI: 10.1016/j.energy.2021.119954
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    References listed on IDEAS

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    1. Lawler, Benjamin & Splitter, Derek & Szybist, James & Kaul, Brian, 2017. "Thermally Stratified Compression Ignition: A new advanced low temperature combustion mode with load flexibility," Applied Energy, Elsevier, vol. 189(C), pages 122-132.
    2. Yao, Mingfa & Ma, Tianyu & Wang, Hu & Zheng, Zunqing & Liu, Haifeng & Zhang, Yan, 2018. "A theoretical study on the effects of thermal barrier coating on diesel engine combustion and emission characteristics," Energy, Elsevier, vol. 162(C), pages 744-752.
    3. Benajes, Jesús & García, Antonio & Pastor, José Manuel & Monsalve-Serrano, Javier, 2016. "Effects of piston bowl geometry on Reactivity Controlled Compression Ignition heat transfer and combustion losses at different engine loads," Energy, Elsevier, vol. 98(C), pages 64-77.
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    Cited by:

    1. Tan, Dongli & Wu, Yao & Lv, Junshuai & Li, Jian & Ou, Xiaoyu & Meng, Yujun & Lan, Guanglin & Chen, Yanhui & Zhang, Zhiqing, 2023. "Performance optimization of a diesel engine fueled with hydrogen/biodiesel with water addition based on the response surface methodology," Energy, Elsevier, vol. 263(PC).
    2. Ruomiao Yang & Tianfang Xie & Zhentao Liu, 2022. "The Application of Machine Learning Methods to Predict the Power Output of Internal Combustion Engines," Energies, MDPI, vol. 15(9), pages 1-16, April.
    3. Zhang, Zhiqing & Hu, Jingyi & Tan, Dongli & Li, Junming & Jiang, Feng & Yao, Xiaoxue & Yang, Dixin & Ye, Yanshuai & Zhao, Ziheng & Yang, Guanhua, 2023. "Multi-objective optimization of the three-way catalytic converter on the combustion and emission characteristics for a gasoline engine," Energy, Elsevier, vol. 277(C).
    4. Brian Gainey & Ziming Yan & John Gandolfo & Benjamin Lawler, 2022. "High Load Compression Ignition of Wet Ethanol Using a Triple Injection Strategy," Energies, MDPI, vol. 15(10), pages 1-23, May.
    5. Zhang, Zhiqing & Dong, Rui & Tan, Dongli & Duan, Lin & Jiang, Feng & Yao, Xiaoxue & Yang, Dixin & Hu, Jingyi & Zhang, Jian & Zhong, Weihuang & Zhao, Ziheng, 2023. "Effect of structural parameters on diesel particulate filter trapping performance of heavy-duty diesel engines based on grey correlation analysis," Energy, Elsevier, vol. 271(C).
    6. Tan, Dongli & Meng, Yujun & Tian, Jie & Zhang, Chengtao & Zhang, Zhiqing & Yang, Guanhua & Cui, Shuwan & Hu, Jingyi & Zhao, Ziheng, 2023. "Utilization of renewable and sustainable diesel/methanol/n-butanol (DMB) blends for reducing the engine emissions in a diesel engine with different pre-injection strategies," Energy, Elsevier, vol. 269(C).

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