T. Schweizer, Norbert Zöbinger, H. Kubach, T. Lauer, T. Koch
{"title":"Experimental and Numerical Low-Speed Pre-ignition Analysis and\u0000 Mechanism Synthesis on a Turbocharged Gasoline Engine with Direct\u0000 Injection","authors":"T. Schweizer, Norbert Zöbinger, H. Kubach, T. Lauer, T. Koch","doi":"10.4271/03-16-03-0018","DOIUrl":"https://doi.org/10.4271/03-16-03-0018","url":null,"abstract":"","PeriodicalId":47948,"journal":{"name":"SAE International Journal of Engines","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2022-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74530136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dhinesh Vilwanathan Velmurugan, T. McKelvey, Jan-ola Olsson
{"title":"Data-Driven Near-Optimal On-Line Control for an Electrically Heated\u0000 Catalyst-Equipped Gasoline Engine","authors":"Dhinesh Vilwanathan Velmurugan, T. McKelvey, Jan-ola Olsson","doi":"10.4271/03-16-03-0019","DOIUrl":"https://doi.org/10.4271/03-16-03-0019","url":null,"abstract":"","PeriodicalId":47948,"journal":{"name":"SAE International Journal of Engines","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2022-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79272568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
E. Nicodemus, Vinay Maruthi Ambarkar, Sudipto Ray, F. Schipperijn
{"title":"A Method to Estimate Regression Model Confidence Interval and Risk of Artificial Neural Network Model","authors":"E. Nicodemus, Vinay Maruthi Ambarkar, Sudipto Ray, F. Schipperijn","doi":"10.4271/03-16-03-0017","DOIUrl":"https://doi.org/10.4271/03-16-03-0017","url":null,"abstract":"","PeriodicalId":47948,"journal":{"name":"SAE International Journal of Engines","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2022-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78982011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. V. Jose, Mayank K. Mittal, A. Ramesh, G. Gnanakotaiah, Kuduva Shanthu Vishnukumar, S. Shridhara
{"title":"A Novel Combustion Chamber to Physically Stratify the Charge in a\u0000 Gasoline Direct Injection Engine","authors":"J. V. Jose, Mayank K. Mittal, A. Ramesh, G. Gnanakotaiah, Kuduva Shanthu Vishnukumar, S. Shridhara","doi":"10.4271/03-16-03-0016","DOIUrl":"https://doi.org/10.4271/03-16-03-0016","url":null,"abstract":"","PeriodicalId":47948,"journal":{"name":"SAE International Journal of Engines","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2022-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72511433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Phillip Mireault, D. Artuković, M. Gayatri, A. Bender, S. Wahiduzzaman
{"title":"A Study Examining the Effects of Driver Profile and Route Characteristics on Vehicle Performance and Tailpipe Emissions under Virtual Real Driving Scenarios","authors":"Phillip Mireault, D. Artuković, M. Gayatri, A. Bender, S. Wahiduzzaman","doi":"10.4271/03-16-02-0009","DOIUrl":"https://doi.org/10.4271/03-16-02-0009","url":null,"abstract":"","PeriodicalId":47948,"journal":{"name":"SAE International Journal of Engines","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91117452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D. Corrigan, S. Breda, S. Fontanesi, Fabio Mortellaro
{"title":"Knocking Cylinder Pressure Data Interpretation for Modern\u0000 High-Performance Engines—A Computational Fluid Dynamics Informed\u0000 Approach","authors":"D. Corrigan, S. Breda, S. Fontanesi, Fabio Mortellaro","doi":"10.4271/03-16-02-0014","DOIUrl":"https://doi.org/10.4271/03-16-02-0014","url":null,"abstract":"","PeriodicalId":47948,"journal":{"name":"SAE International Journal of Engines","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2022-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90751922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
E. Corti, Lorenzo Raggini, Alessandro Rossi, A. Brusa, Luca Solieri, D. Corrigan, Nicola Silvestri, M. Cucchi
{"title":"Application of Low-Cost Transducers for Indirect In-Cylinder Pressure\u0000 Measurements","authors":"E. Corti, Lorenzo Raggini, Alessandro Rossi, A. Brusa, Luca Solieri, D. Corrigan, Nicola Silvestri, M. Cucchi","doi":"10.4271/03-16-02-0013","DOIUrl":"https://doi.org/10.4271/03-16-02-0013","url":null,"abstract":"","PeriodicalId":47948,"journal":{"name":"SAE International Journal of Engines","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80153067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Anthony M. Coppola, Peter Andruskiewicz, Kevin B. Rober, R. Durrett, Michael Potter, P. Najt
{"title":"Fabrication and Experimental Evaluation of a Vascular-Cooled Polymer Matrix Composite Single-Cylinder Engine Block","authors":"Anthony M. Coppola, Peter Andruskiewicz, Kevin B. Rober, R. Durrett, Michael Potter, P. Najt","doi":"10.4271/03-16-02-0010","DOIUrl":"https://doi.org/10.4271/03-16-02-0010","url":null,"abstract":"","PeriodicalId":47948,"journal":{"name":"SAE International Journal of Engines","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82970711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
: Numerical simulation is a fundamental tool in the design and optimization procedure of an Internal Combustion (IC) engine; since combustion is the process that mostly influences the engine performance, efficiency and emissions, an effective combustion sub-model is fundamental. A simple, non-predictive, way to simulate the combustion evolution is to implement a mathematical function that reproduces the mass fraction burned (MFB) profile that is characterized by a sigmoidal trend; the most used, for this purpose, is the Wiebe function. In this paper the authors propose a different mathematical model, a Dose-Response (DR) type function, that shows some benefits when compared to Wiebe function, in particular a better interpolation of experimental MFB profiles in which the combustion extinction phase represents a large fraction of the whole combustion duration; this happens, for example, in Spark Ignition (SI) engines with a non-central location of the spark plug, which produces an asymmetric combustion propagation and in turn an asymmetric derivative of the experimental MFB profile. In this paper both the traditional Wiebe and the proposed DR function have been calibrated by means of experimental MFB profiles obtained from a supercharged SI engine fueled with natural gas; the two calibrated functions have been implemented in a zero-dimensional SI engine model and compared in terms of Indicated Mean Effective Pressure (IMEP) prediction reliability. The proposed DR function allowed both a better MFB profile interpolation and a better IMEP prediction for all the operating conditions tested (different engine speed and supercharging pressure), with a maximum prediction error of 2.1% compared with 2.9% of the Wiebe function.
{"title":"An Effective Method to Model the Combustion Process in Spark Ignition\u0000 Engines","authors":"S. Beccari, E. Pipitone","doi":"10.4271/03-16-02-0008","DOIUrl":"https://doi.org/10.4271/03-16-02-0008","url":null,"abstract":": Numerical simulation is a fundamental tool in the design and optimization procedure of an Internal Combustion (IC) engine; since combustion is the process that mostly influences the engine performance, efficiency and emissions, an effective combustion sub-model is fundamental. A simple, non-predictive, way to simulate the combustion evolution is to implement a mathematical function that reproduces the mass fraction burned (MFB) profile that is characterized by a sigmoidal trend; the most used, for this purpose, is the Wiebe function. In this paper the authors propose a different mathematical model, a Dose-Response (DR) type function, that shows some benefits when compared to Wiebe function, in particular a better interpolation of experimental MFB profiles in which the combustion extinction phase represents a large fraction of the whole combustion duration; this happens, for example, in Spark Ignition (SI) engines with a non-central location of the spark plug, which produces an asymmetric combustion propagation and in turn an asymmetric derivative of the experimental MFB profile. In this paper both the traditional Wiebe and the proposed DR function have been calibrated by means of experimental MFB profiles obtained from a supercharged SI engine fueled with natural gas; the two calibrated functions have been implemented in a zero-dimensional SI engine model and compared in terms of Indicated Mean Effective Pressure (IMEP) prediction reliability. The proposed DR function allowed both a better MFB profile interpolation and a better IMEP prediction for all the operating conditions tested (different engine speed and supercharging pressure), with a maximum prediction error of 2.1% compared with 2.9% of the Wiebe function.","PeriodicalId":47948,"journal":{"name":"SAE International Journal of Engines","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75239857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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