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Proceedings Papers

Optimization of the Operating Strategy of a BAS Hybrid Diesel Powertrain on Type-Approval and Real-World Representative Driving Cycles

Edoardo Pietro Morra, Ezio Spessa, Mattia Venditti
Proc. ASME. ICES2012, ASME 2012 Internal Combustion Engine Division Spring Technical Conference, 557-568, May 6–9, 2012
Paper No: ICES2012-81093
DOI: https://doi.org/10.1115/ICES2012-81093
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Topics: Cycles, Diesel, Optimization, Combustion, Emissions, Nitrogen oxides, Noise (Sound), Belts, Corporate average fuel economy, Electricity (Physics)
Proceedings Papers

Assessment of Multi-Objective Genetic Algorithms With Different Niching Strategies and Regression Methods for Engine Optimization and Design

Yu Shi, Rolf D. Reitz
Proc. ASME. ICES2009, ASME 2009 Internal Combustion Engine Division Spring Technical Conference, 487-496, May 3–6, 2009
Paper No: ICES2009-76015
DOI: https://doi.org/10.1115/ICES2009-76015
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Topics: Design, Engines, Genetic algorithms, Optimization, Computational fluid dynamics, Artificial neural networks, Experimental design, Geometry, Pistons, Space
Proceedings Papers

An Application of Multi-Criteria Genetic Algorithms to the Optimization of a Common-Rail Injector

Arturo de Risi, Teresa Donateo, Domenico Laforgia
Proc. ASME. ICES2002, Design, Operation, and Application of Modern Internal Combustion Engines and Associated Systems, 251-258, April 14–17, 2002
Paper No: ICES2002-471
DOI: https://doi.org/10.1115/ICES2002-471
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Topics: Common rail fuel injectors, Genetic algorithms, Optimization, Ejectors, Pressure, Brakes, Cavitation, Diesel engines, Dynamics (Mechanics), Electromagnetic force
Proceedings Papers

A Combined Optimization Method for Common Rail Diesel Engines

Arturo de Risi, Paolo Carlucci, Teresa Donateo, Antonio Ficarella
Proc. ASME. ICES2002, Design, Operation, and Application of Modern Internal Combustion Engines and Associated Systems, 243-250, April 14–17, 2002
Paper No: ICES2002-470
DOI: https://doi.org/10.1115/ICES2002-470
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Topics: Common rail fuel injectors, Diesel engines, Optimization, Genetic algorithms, Engines, Noise (Sound), Carbon dioxide, Combustion, Cycles, Emissions