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dc.contributor.author | Napolitano, Pierpaolo | es_ES |
dc.contributor.author | Jimenez, Irina Ayelen | es_ES |
dc.contributor.author | Pla Moreno, Benjamín | es_ES |
dc.contributor.author | Beatrice, Carlo | es_ES |
dc.date.accessioned | 2023-06-27T18:01:07Z | |
dc.date.available | 2023-06-27T18:01:07Z | |
dc.date.issued | 2022-05-01 | es_ES |
dc.identifier.issn | 0016-2361 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/194577 | |
dc.description.abstract | [EN] Increasing demands on higher performance and lower fuel consumption and emissions have lead the path for internal combustion engine development; this race is nowadays directly related of CO2 emissions reduction. In spark-ignited (SI) engines, knock is one of the major barriers to achieve high thermal efficiency at high loads. The knocking risk is even higher in heavy-duty (HD) engines due to the size of the cylinders and to the low rotation speed. This paper proposes a knock detection strategy based on the combination of knock sensors and combustion modeling applied to a HD natural gas (NG) engine. The aim is to have a reliable, economic and computationally efficient algorithm to be implemented directly on the engine ECU. The method proposed has been applied to an extensive set of experimental data acquired on a SI NG heavy-duty engine. The results of the proposed knock estimation method are benchmarks with those based on in-cylinder pressure analysis using piezoelectric transducers. The extension of the method based on in-cylinder pressure to a high displacement heavy-duty NG engine not only represents an innovation, but improves the knock recognition based on in-cylinder pressure compared with conventional methods as MAPO or IMAP. Besides, the development of an alternative method based on knock sensor signal, allows to obtain a higher or equal sensitivity compared to the traditional MAPO method based on in-cylinder pressure, with the advantage of only using knock sensors. | es_ES |
dc.description.sponsorship | Irina Jimenez received a funding through the grant GRISOLIAP/2018/132 and BEFPI/2021/042 from the Generalitat Valenciana, Spain and the European Social Fund. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Fuel | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Knock | es_ES |
dc.subject | Heavy-duty engine | es_ES |
dc.subject | Resonance | es_ES |
dc.subject | Wiebe function | es_ES |
dc.subject.classification | MAQUINAS Y MOTORES TERMICOS | es_ES |
dc.title | Knock recognition based on vibration signal and Wiebe function in a heavy-duty spark ignited engine fueled with Methane | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.fuel.2021.122957 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GVA//GRISOLIAP%2F2018%2F132//Ayuda Santiago Grisolia proyecto: Control de motores multicombustible basados en nuevos conceptos de combustión/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GVA//BEFPI%2F2021%2F042/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería del Diseño - Escola Tècnica Superior d'Enginyeria del Disseny | es_ES |
dc.description.bibliographicCitation | Napolitano, P.; Jimenez, IA.; Pla Moreno, B.; Beatrice, C. (2022). Knock recognition based on vibration signal and Wiebe function in a heavy-duty spark ignited engine fueled with Methane. Fuel. 315:1-10. https://doi.org/10.1016/j.fuel.2021.122957 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1016/j.fuel.2021.122957 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 10 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 315 | es_ES |
dc.relation.pasarela | S\486974 | es_ES |
dc.contributor.funder | European Social Fund | es_ES |
dc.contributor.funder | Generalitat Valenciana | es_ES |