Performance and emissions of a 4-cylinder gasoline engine with Controlled Auto-Ignition

Martins, Mario; Zhao, Hua

doi:10.1590/s1678-58782012000400003

Cited by 6 publications

(4 citation statements)

References 19 publications

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“…For the micro-square technique, five models with various combinations of two entries were explored and trained with one passage. 22,23 Training process for ANFIS model…”

Section: Input Identificationmentioning

confidence: 99%

Real world evaluation and control of vehicle engine exhaust air pollution using adaptive neural fuzzy inference system

Abouel-Seoud

Shiba

Abdallah

2022

International Journal of Engine Research

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Internal combustion engines are considered primarily responsible for air pollution. Accordingly, a concentrated effort has been made to reduce these pollutants which are emitted from the exhaust system of these engines while preserving energy and fuel consumption. There are also other sources besides internal combustion engines, such as power stations and those released from industry and home consumption. Industrial and household fuel consumers are also adding pollution. The industrial development requires the establishment of effective control systems to deal with its equipment to increase its operational life and increase its productivity with lower maintenance costs. Therefore, the aim of the study in this research is exposed to be used of adaptive neural fuzzy inference system to control the components of the emission of exhaust pollutants for gasoline vehicle. Exhaust pollutants consist of unburned carbon monoxide, hydrocarbons, carbon dioxide, water vapor nitrogen oxides, and energy produced from the combustion process which emit into atmosphere through the exhaust tailpipe. Also, there are hydrocarbons produced from gasoline vaporization and from the crankcase of the vehicle. The results indicate that the adaptive neural fuzzy inference system proves to be a useful tool for simulating and controlling vehicle engine exhaust emissions.

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“…For the micro-square technique, five models with various combinations of two entries were explored and trained with one passage. 22,23 Training process for ANFIS model…”

Section: Input Identificationmentioning

confidence: 99%

Real world evaluation and control of vehicle engine exhaust air pollution using adaptive neural fuzzy inference system

Abouel-Seoud

Shiba

Abdallah

2022

International Journal of Engine Research

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“…1 These are attributed to the nature of CAI combustion which causes knocking at high load and partial-burn or misfire at low load. 2–5 Many strategies to extend the operating range of CAI combustion have been put forward and investigated by researchers. 6–11 In this regard, one of these strategies is spark ignition–controlled auto-ignition (SICAI), also known as spark-assisted compression ignition (SACI).…”

Section: Introductionmentioning

confidence: 99%

Combustion development in a gasoline-fueled spark ignition–controlled auto-ignition engine operated at different spark timings and intake air temperatures

Yıldız

Çeper

2019

International Journal of Engine Research

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Spark ignition–controlled auto-ignition is a combustion strategy to overcome the challenges in a homogeneous charge compression ignition or controlled auto-ignition combustion which has a limited operation region and does not have any direct control of the combustion timing. However, the spark ignition–controlled auto-ignition combustion can result in a large cyclic variability due to two main distinctive combustion phases developing initially by flame propagation and following controlled auto-ignition combustion throughout an engine cycle. Characterization of combustion development is, therefore, required to maintain a stable engine operation under spark ignition–controlled auto-ignition combustion. In this research, experimental studies were carried out to investigate spark ignition–controlled auto-ignition combustion development at different spark advances and intake air temperatures. Combustion analyses were performed employing pressure-based heat release and mass fraction burn curve to determine the main combustion parameters along with transition points (corresponding to crank angles) to controlled auto-ignition and mass fraction burnt by flame propagation. The results reveal that transition point has a strong correlation with crank angle position where 10% of fuel mass consumed combustion phasing rather than mass fraction burnt by flame propagation at the same intake air temperature. The cycles with a higher mass fraction burnt by flame propagation can result from early flame development at the advanced spark timings (at −30 and −40 °CA) while the slow flame development at a spark timing of −20 °CA due to late transition point corresponding to crank angle occurred. Besides, it is also found that flame propagation phase more contributes to the cyclic variation in the whole combustion process.

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“…The HCCI engine emits low NOx emissions, virtually no particulate matters (PM) emissions. However, the marketing of HCCI technology still represents a huge challenge because of the narrow field of operation and the difficulties associated with the combustion phase [1].…”

Section: Introductionmentioning

confidence: 99%

Comparative Study of Performance and Emission Characteristics between Spark Ignition Engine and Homogeneous Charge Compression Ignition Engine (HCCI)

Ali¹

2017

alkej

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Many researchers consider Homogeneous Charge Compression Ignition (HCCI) engine mode as a promising alternative to combustion in Spark Ignition and Compression Ignition Engines. The HCCI engine runs on lean mixtures of fuel and air, and the combustion is produced from the fuel autoignition instead of ignited by a spark. This combustion mode was investigated in this paper. A variable compression ratio, spark ignition engine type TD110 was used in the experiments. The tested fuel was Iraqi conventional gasoline (ON=82). The results showed that HCCI engine can run in very lean equivalence ratios. The brake specific fuel consumption was reduced about 28% compared with a spark ignition engine. The experimental tests showed that the emissions concentrations were reduced by 91.27% for NOx, 85.99% for CO, 78.91% for CO2, and 83.56% for unburned hydrocarbons compared to the SI engine. HCCI engine produced little noise with about 26.68% less than SI engine.

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Performance and emissions of a 4-cylinder gasoline engine with Controlled Auto-Ignition

Cited by 6 publications

References 19 publications

Real world evaluation and control of vehicle engine exhaust air pollution using adaptive neural fuzzy inference system

Real world evaluation and control of vehicle engine exhaust air pollution using adaptive neural fuzzy inference system

Combustion development in a gasoline-fueled spark ignition–controlled auto-ignition engine operated at different spark timings and intake air temperatures

Comparative Study of Performance and Emission Characteristics between Spark Ignition Engine and Homogeneous Charge Compression Ignition Engine (HCCI)

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