Use of sensors in the intake of air in internal combustion engines: systematic review of the literature
DOI:
https://doi.org/10.33448/rsd-v11i13.34691Keywords:
Air Intake; Diesel Engines; Dust; Motor; Systematic review.Abstract
Due to the constant contact with the earth, many agricultural machineries that have diesel engines, have problems in their performance due to the entry of dust particles in the air intake system. This work aimed to carry out a systematic review of the literature regarding the use of sensors in solving contamination problems in the air intake system in diesel engines. The inclusion criteria were articles that were complete and available, in English and Portuguese, and that had some application regarding the use of sensors in diesel engines, or that dealt with problems in air intake. The exclusion criteria, on the other hand, were the works that did not fit these eligibility criteria. Approximately 2,414 articles were retrieved, of which 31 met the eligibility criteria and were accepted for full reading. Given the limitations of the research, such as the reduced number of databases used, restriction of the language of the works, a meta-analysis was not possible to be conducted, limiting the research to only qualitative analyses. However, it was possible to notice some gaps in knowledge regarding the lack of works aimed at solving the problem raised, as well as the lack of works related to the theme at the national level.
References
Athanasopoulou, A., Reuver, M., Nikou, S., Bouwman, H. (2019). What technology enabled services impact business models in the automotive industry? An exploratory study. Futures, v. 109, p. 73–83, mai. 2019.
Barbosa, F. T. et al. (2019). Tutorial para execução de revisões sistemáticas e meta-análises com estudos de intervenção em anestesia. Brazilian Journal of Anesthesiology, v. 69, n. 3, p. 299–306, mai. 2019.
Battista, D. D., Bartolomeo, D. M., Cipollone, R. (2018). Flow and thermal management of engine intake air for fuel and emissions saving. Energy Conversion and Management, v. 173, p. 46–55, out. 2018.
Bauke, S., Golibrzuch, Kai., Wackerbarth, H., Fendt, P., Zigan, L., Seefeldt, S., Thiele, O., Berg, T. (2018). Optical sensor system for time-resolved quantification of methane concentrations: Validation measurements in a rapid compression machine. Journal of Quantitative Spectroscopy and Radiative Transfer. v. 210, p. 101–110.
Cao, J., Kim, J., Takahashi, M., Yamasaki, Y. (2020). Model Based Control with Online Automatic Adaptation by Neural Network for Advanced Diesel Combustion. IFAC-PapersOnLine. v. 53, n. 2, p. 14040–14046.
Chen, X., Wang, Z., Pan, S., Pan, H. (2019). Improvement of engine performance and emissions by biomass oil filter in diesel engine. Fuel, v. 235, p. 603–609.
Corsini, A., Bonacina, F., Feudo, S., Marchegiani, A., Venturini, P. (2017). Internal Combustion Engine sensor network analysis using graph modeling. Energy Procedia, v. 126, p. 907–914.
Cuyper, T., Chana, K., De Paepe, M., Verhelst, S. (2017). Evaluation of empirical heat transfer models using TFG heat flux sensors. Applied Thermal Engineering, v. 118, p. 561–569.
Dogru, B., Ozdemir, M. M. (2017). Electronic measurement of weather conditions for an engine test room. Journal of Thermal Engineering, v. 3, n. 4, p. 1328–1337.
Galvão, T. F., Pereira, M. G. (2015). Avaliação da qualidade da evidência de revisões sistemáticas. Epidemiologia e Serviços de Saúde, v. 24, n. 1, p. 775–778.
Galvão, T. F., Pereira, M. G. (2015) Redação, publicação e avaliação da qualidade da revisão sistemática. Epidemiologia e Serviços de Saúde, v. 24, n. 2, p. 333–334.
Galvão, T. F., Pereira, M. G. (2014). Revisões sistemáticas da literatura: passos para sua elaboração. Epidemiologia e Serviços de Saúde, v. 23, n. 1, p. 183–184.
Galvão, T. F. et al. (2021) Revisão Sistemática e Meta-análise. Universidade Estadual de Campinas (Unicamp). Curso online. 2020 Disponível em: https://www.coursera.org/. Acesso em: 20 out. 2021.
Gasparini, C.T. (1983). Análises programadas de óleos lubrificantes como instrumento de manutenção preventiva. Revista da Associação dos Técnicos Açucareiros e Alcooleiros do Brasil. p. 43-47.
Gelmini, S., Hoffmann, M. A., Onori, S. (2021). Design and experimental validation of three-way catalyst age estimator and Fisher information analysis for optimal sensor selection. Control Engineering Practice, v. 112, p. 104805.
Gerhardt, T. E., Silveira, D. T. (2009). Métodos de Pesquisa. Universidade Federal do Rio Grande do Sul. Porto Alegre: Editora da UFRGS.
Guan, J., Li, Y., Liu, J., Xiongbo, D., Shen, D., Jia, D., Ku, C. (2021). Experimental and numerical research on the performance characteristics of OPLVCR engine based on the NSGA II algorithm using digital twins. Energy Conversion and Management, v. 236, p. 114052.
Guardiola, C., Pla, B., Bares, P., Jones, J.C. (2019) GUARDIOLA, C. et al. Integration of intermittent measurement from in-cylinder pressure resonance in a multi-sensor mass flow estimator. Mechanical Systems and Signal Processing, v. 131, p. 152–165.
Han, J., Somers, L.M.T., Cracknell, R., Joedicke, A., Wardle, R., Mohan, V. (2020). Experimental investigation of ethanol/diesel dual-fuel combustion in a heavy-duty diesel engine. Fuel, v. 275, p. 117867.
Han, R., Bohn, C., Bauer, G (2020). Virtual Engine In-Cylinder Pressure Sensor for Automobiles and Agricultural Tractors. IFAC-PapersOnLine, v. 53, n. 1, p. 543–548.
Jatana, G., Geckler, S., Koeberlein, D., Partridge, W., (2017). Design and development of a probe-based multiplexed multi-species absorption spectroscopy sensor for characterizing transient gas-parameter distributions in the intake systems of I.C. engines. Sensors and Actuators B: Chemical, v. 240, p. 1197–1204.
Junqueira, R. A., Oliveira, H. (2013). Manutenção de Colhedora de Cana-de-açúcar. SENAR/SP, São Paulo.
Kardec, A., Nascif J. (2009). Manutenção: função estratégica. 3ª ed. Rio de Janeiro: Qualitymark: Petrobrás. 384 p.
KIMURA, Rogério Katsuharu. Uso da técnica de análise de óleo lubrificante em motores diesel estacionários, utilizando-se misturas de biodiesel e diferentes níveis de contaminação do lubrificante. 2010. Dissertação (mestrado) – Faculdade de Engenharia de Ilha Solteira, Universidade Estadual Paulista. Ilha Solteira. 2010.
León, P. G., Morales, J., Escobar J. R., Gómez, A. J. F., Lopez, L. G., Torres, L (2018). Implementation of a fault tolerant system for the internal combustion engine's MAF sensor. Measurement. V. 122, p. 91-99.
Li, Z., Zhang, Y., Huang, G., Zhao, W., He, Z., Qian, Y,. Lu, X., (2020). Control of intake boundary conditions for enabling clean combustion in variable engine conditions under intelligent charge compression ignition (ICCI) mode. Applied Energy, v. 274, p. 115297.
Maddineni, A. K., Das, D., Damodaran, R. M (2017). Inhibition of particle bounce and re-entrainment using oil-treated filter media for automotive engine intake air filtration. Powder Technology, v. 322, p. 369–377.
MARTÍNEZ, S. et al. Model calibration and exergoeconomic optimization with NSGA-II applied to a residential cogeneration. Applied Thermal Engineering, v. 169, p. 114916, mar. 2020.
Mello, R. D. C. (2015). Manutenção do filtro de ar em máquinas agrícolas. Revista Máquinas Cultivar. Vol 157. Disponível em: https://www.grupocultivar.com.br/revistas/201. Acesso em 01 jul. 2021.
Nguyen, H., Zenger, K., Storm, X. (2020). Simulation Environment for Analysis and Controller Design of Diesel Engines. IFAC-PapersOnLine, v. 53, n. 2, p. 13970–13975.
Omar, F. K., Selim, M. Y. E., Emam, S. A. (2017). Time and frequency analyses of dual-fuel engine block vibration. Fuel, v. 203, p. 884–893.
Padovan, L. A; Anjos, H. S. (2012). Manutenção de Tratores Agrícolas. São Paulo. Senar/Sp, 74p.
Prima, E., Utari, S., Ramdani, R., Riska, E., Putri, R., Darmawati, S. (2017). Heat Transfer Lab Kit using Temperature Sensor based Arduino TM for Educational Purpose. Procedia Engineering, v. 170, p. 536–540.
ROSA, J. S. (2014). Estudo de um motor ciclo diesel monocíclico bicombustível. 2014. 102f. Dissertação (mestrado) – Universidade do Vale do Rio dos Sinos. São Leopoldo.
Santos, E. A., Soares, H. S., Silva, M.R., Rocha, T. A. F., Fernandes, T. J. L. (2014) Lubrificantes: Uso correto. Revista Cultivar Máquinas. Nº143. p.28-31.
Shahbaz, M. H., Amin, A. A (2021). Design of Active Fault Tolerant Control System for Air Fuel Ratio Control of Internal Combustion Engines Using Artificial Neural Networks. IEEE Access, v. 9, p. 46022–46032.
Shi, C., Ji, C., Wang, H., Wang, S., Yang, J., Ge, Y., (2021). Comparative evaluation of intelligent regression algorithms for performance and emissions prediction of a hydrogen-enriched Wankel engine. Fuel, v. 290, p. 120005, abr.
Shi, H., Uddeen, K., Pei, Y., Johansson, B. (2021). Statistical study on engine knock oscillation and heat release using multiple spark plugs and pressure sensors. Fuel, v. 297, p. 120746.
Siano, D., Frosina, E., Senatore, A. (2017). Diagnostic Process by Using Vibrational Sensors for Monitoring Cavitation Phenomena in a Gerotor Pump Used for Automotive Applications. Energy Procedia, v. 126, p. 1115–1122, set. 2017.
Singh, V., Pal, B., Jain, T. (2020). A Novel State and Parameter Estimation Algorithm for Spark Ignition Engine. IFAC-PapersOnLine, v. 53, n. 2, p. 13964–13969.
Sujesh, G., Ramesh, S. (2018). Modeling and control of diesel engines: A systematic review. Alexandria Engineering Journal, v. 57, n. 4, p. 4033–4048.
Tanaka, E. M., Padovan, L. A. P., Viana, N. M. (2014). Manutenção de Colhedora Automotriz de café. SENAR/ SP, São Paulo. 90p.
Velmurugan, V., kumar, C., Paramasivam, V., Thanikaikarasan, S. (2019). Prediction of noise, vibration and exhaust gas emission characteristics using palm oil in a four-stroke diesel. Materials Today: Proceedings, v. 21, p. 896–901.
Wong, P.K., Gao, X., Wong, K, I., Vong, C. M. (2017). Efficient Point-by-point Engine Calibration using Machine Learning and Sequential Design of Experiment Strategies. Journal of the Franklin Institute. 355. 10.1016/j.jfranklin.2017.02.006.
Zhai, Y. J., Yu, D., Qian, K. J., Lee, S., Theera-Umpon, N. (2017). A Soft Sensor-Based Fault-Tolerant Control on the Air Fuel Ratio of Spark-Ignition Engines. Energies. 10. 131. 10.3390/en10010131.
Zhang, M., Thompson, W., Frendi, A., Casiano, M. (2017). Acoustic wave propagation in a sensor port: Experimental measurements and analytical model predictions. Applied Acoustics, v. 127, p. 1–14.
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Copyright (c) 2022 Thiago Santana Aranha; Natália de Lima Batista; Mariana Matulovic da Silva Rodrigueiro; Mario Mollo Neto; Kassandra Sussi Mustafé Oliveira; Flávio José de Oliveira Morais; Paulo Sérgio Barbosa dos Santos
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