Prediction of cold start hydrocarbon emissions of air cooled two wheeler spark ignition engines by simple fuzzy logic simulation
The cold start hydrocarbon emission from the increasing population of two wheelers in countries like India is one of the research issues to be addressed. This work describes the prediction of cold start hydrocarbon emissions from air cooled spark ignition engines through fuzzy logic tech...
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VINCA Institute of Nuclear Sciences
2014-01-01
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| Series: | Thermal Science |
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| Online Access: | http://www.doiserbia.nb.rs/img/doi/0354-9836/2014/0354-98361300106S.pdf |
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doaj-5c4b03b3c771444aa5a799ffb10bc0572021-01-02T01:34:09ZengVINCA Institute of Nuclear SciencesThermal Science0354-98362014-01-0118117919110.2298/TSCI120726106S0354-98361300106SPrediction of cold start hydrocarbon emissions of air cooled two wheeler spark ignition engines by simple fuzzy logic simulationSamuel Raja Ayyanan0Valan Arasu Amirtham1Department of Mechanical Engineering, Thiagarajar College of Engineering, Madurai, IndiaDepartment of Mechanical Engineering, Thiagarajar College of Engineering, Madurai, IndiaThe cold start hydrocarbon emission from the increasing population of two wheelers in countries like India is one of the research issues to be addressed. This work describes the prediction of cold start hydrocarbon emissions from air cooled spark ignition engines through fuzzy logic technique. Hydrocarbon emissions were experimentally measured from test engines of different cubic capacity, at different lubricating oil temperature and at different idling speeds with and without secondary air supply in exhaust. The experimental data were used as input for modeling average hydrocarbon emissions for 180 seconds counted from cold start and warm start of gasoline bike engines. In fuzzy logic simulation, member functions were assigned for input variables (cubic capacity and idling rpm) and output variables (average hydrocarbon emission for first 180 seconds at cold start and warm start). The knowledge based rules were adopted from the analyzed experimental data and separate simulations were carried out for predicting hydrocarbon emissions from engines equipped with and without secondary air supply. The simulation yielded the average hydrocarbon emissions of air cooled gasoline engine for a set of given input data with accuracy over 90%.http://www.doiserbia.nb.rs/img/doi/0354-9836/2014/0354-98361300106S.pdfspark ignition enginecold startHC emissionssimulationfuzzy logic |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Samuel Raja Ayyanan Valan Arasu Amirtham |
| spellingShingle |
Samuel Raja Ayyanan Valan Arasu Amirtham Prediction of cold start hydrocarbon emissions of air cooled two wheeler spark ignition engines by simple fuzzy logic simulation Thermal Science spark ignition engine cold start HC emissions simulation fuzzy logic |
| author_facet |
Samuel Raja Ayyanan Valan Arasu Amirtham |
| author_sort |
Samuel Raja Ayyanan |
| title |
Prediction of cold start hydrocarbon emissions of air cooled two wheeler spark ignition engines by simple fuzzy logic simulation |
| title_short |
Prediction of cold start hydrocarbon emissions of air cooled two wheeler spark ignition engines by simple fuzzy logic simulation |
| title_full |
Prediction of cold start hydrocarbon emissions of air cooled two wheeler spark ignition engines by simple fuzzy logic simulation |
| title_fullStr |
Prediction of cold start hydrocarbon emissions of air cooled two wheeler spark ignition engines by simple fuzzy logic simulation |
| title_full_unstemmed |
Prediction of cold start hydrocarbon emissions of air cooled two wheeler spark ignition engines by simple fuzzy logic simulation |
| title_sort |
prediction of cold start hydrocarbon emissions of air cooled two wheeler spark ignition engines by simple fuzzy logic simulation |
| publisher |
VINCA Institute of Nuclear Sciences |
| series |
Thermal Science |
| issn |
0354-9836 |
| publishDate |
2014-01-01 |
| description |
The cold start hydrocarbon emission from the increasing population of two
wheelers in countries like India is one of the research issues to be
addressed. This work describes the prediction of cold start hydrocarbon
emissions from air cooled spark ignition engines through fuzzy logic
technique. Hydrocarbon emissions were experimentally measured from test
engines of different cubic capacity, at different lubricating oil temperature
and at different idling speeds with and without secondary air supply in
exhaust. The experimental data were used as input for modeling average
hydrocarbon emissions for 180 seconds counted from cold start and warm start
of gasoline bike engines. In fuzzy logic simulation, member functions were
assigned for input variables (cubic capacity and idling rpm) and output
variables (average hydrocarbon emission for first 180 seconds at cold start
and warm start). The knowledge based rules were adopted from the analyzed
experimental data and separate simulations were carried out for predicting
hydrocarbon emissions from engines equipped with and without secondary air
supply. The simulation yielded the average hydrocarbon emissions of air
cooled gasoline engine for a set of given input data with accuracy over 90%. |
| topic |
spark ignition engine cold start HC emissions simulation fuzzy logic |
| url |
http://www.doiserbia.nb.rs/img/doi/0354-9836/2014/0354-98361300106S.pdf |
| work_keys_str_mv |
AT samuelrajaayyanan predictionofcoldstarthydrocarbonemissionsofaircooledtwowheelersparkignitionenginesbysimplefuzzylogicsimulation AT valanarasuamirtham predictionofcoldstarthydrocarbonemissionsofaircooledtwowheelersparkignitionenginesbysimplefuzzylogicsimulation |
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1724362768449011712 |