Open Access
| Issue |
E3S Web Conf.
Volume 197, 2020
75th National ATI Congress – #7 Clean Energy for all (ATI 2020)
|
|
|---|---|---|
| Article Number | 06015 | |
| Number of page(s) | 12 | |
| Section | Internal Combustion Engines | |
| DOI | https://doi.org/10.1051/e3sconf/202019706015 | |
| Published online | 22 October 2020 | |
- de Nola F. et al., “A Model-Based Computer Aided Calibration Methodology Enhancing Accuracy, Time and Experimental Effort Savings Through Regression Techniques and Neural Networks”, SAE Technical Paper # 2017-24-0054, doi: 10.4271/2017-24-0054. (2017). [Google Scholar]
- de Nola F. et al., “Reduction of the experimental effort in engine calibration by using neural networks and 1D engine simulation”, Energy Procedia, Volume 148, August 2018, Pages 344-351, doi: 10.1016/j.egypro.2018.08.087. (2018) [CrossRef] [Google Scholar]
- de Nola F. et al., “Volumetric efficiency estimation based on neural networks to reduce the experimental effort in engine base calibration”, Fuel, Volume 244, 15 May 2019, Pages 31-39, doi: 10.1016/j.fuel.2019.01.182. (2018) [CrossRef] [Google Scholar]
- de Nola F. et al., “Enhancing the accuracy of engine calibration through a computer aided calibration algorithm”, Energy Procedia, Volume 148, August 2018, Pages 916-923, doi: 10.1016/j.egypro.2018.08.094. (2018) [CrossRef] [Google Scholar]
- de Nola F. et al., “Definition of a Methodology Promoting the Use of 1D Thermo-Fluid Dynamic Analysis for the Reduction of the Experimental Effort in Engine Base Calibration”, SAE Paper 2019-24-0013, doi: 10.4271/2019-24-0013. (2019). [Google Scholar]
- Gimelli A. et al., “Preliminary Analysis of a Hydraulic Variable Valve Actuation Loss Model for the Control-Oriented Base Engine Calibration”, AIP Conference Proceedings, Volume 2191, 17 December 2019, doi: 10.1063/1.5138823. (2019) [Google Scholar]
- de Nola F. et al., “A control-oriented and physics-based model of the engine crank mechanism friction for the base calibration: Parametric analysis”, AIP Conference Proceedings, Volume 2191, 17 December 2019, Article number 020060, doi: 10.1063/1.5138793. (2019) [CrossRef] [Google Scholar]
- Brancati R. et al., “Crank Mechanism Friction Modeling for Control-Oriented Applications”, Mechanisms and Machine Science, Volume 91, 20 August 2020, doi: 10.1007/978-3-030-55807-9_81. (2020) [Google Scholar]
- Bozza F. et al., “Strategies for Improving Fuel Consumption at Part-Load in a Downsized Turbocharged SI Engine: a Comparative Study”, SAE Int. J. Engines 7(1):2014, doi:10.4271/2014-01-1064. (2014) [CrossRef] [Google Scholar]
- Poloni C. et al., “Hybridization of a multi-objective genetic algorithm, a neural network and a classical optimizer for a complex design problem in fluid dynamics”, Comput. Methods Appl. Mech. Engrg. 186 (2000) 403-420. [CrossRef] [Google Scholar]
- Gimelli A. et al., “Efficiency and Cost Optimization of a Regenerative Organic Rankine Cycle Power Plant through the Multi-Objective Approach”, Applied Thermal Engineering, 114, 601–610, doi: 10.1016/j.applthermaleng.2016.12.009. (2017) [CrossRef] [Google Scholar]
- Gimelli A. et al., “Optimal Design of Modular Cogeneration Plants for Hospital Facilities and Robustness Evaluation of the Results”, Energy Conversion and Management, 134, 20–31, doi: 10.1016/j.enconman.2016.12.027. (2017). [CrossRef] [Google Scholar]
- Gimelli A. et al., “The Key Role of the Vector Optimization Algorithm and Robust Design Approach for the Design of Polygeneration Systems”, Energies 2018, 11(4), 821; doi:10.3390/en11040821. (2018) [CrossRef] [Google Scholar]
- Chen S.K. et al., “Development of a Single Cylinder Compression Ignition Research Engine”, SAE Paper 650733. (1965) [Google Scholar]
- Gimelli A. et al., Study of a New Mechanical VVA System. Part I: Valve Train Design and Friction Modeling, International Journal of Research Engines, SEP 2015, Volume: 16 Issue: 6 Pages: 750-761. DOI: 10.1177/1468087414548773. [Google Scholar]
- Gimelli A. et al., Study of a New Mechanical VVA System. Part II: Estimation of the Actual Fuel Consumption Improvement through 1D Fluid Dynamic Analysis and Valve Train Friction Estimation, International Journal of Engine Research, SEP 2015, Volume: 16, Issue: 6, Pages: 762-772. DOI: 10.1177/1468087414548773. [Google Scholar]
- Augugliaro G. et al., “A Simulation Model for a High Pressure Injection Systems”, SAE paper 971595, (1997). [CrossRef] [Google Scholar]
- Catania A. E. et al., “Development and Application of a Complete Multijet CommonRail Injection-System Mathematical Model for Hydrodynamic Analysis and Diagnostics”, SAE Paper 780232. [Google Scholar]
- Wong P. K. et al., “Modeling and Simulation of a Dual-Mode Electrohydraulic Fully Variable Valve Train for Four-Stroke Engines”, International Journal of Automotive Technology, Vol. 9, No. 5, pp. 509−521, doi: 10.1007/s12239−008−0061−2. (2008) [CrossRef] [Google Scholar]
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