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β-NTF reduction and fast kriging simulation of optimal engine configurations
- Source :
- Mechanics & Industry, Mechanics & Industry, EDP Sciences, 2017, 18 (5), pp.509. ⟨10.1051/meca/2017029⟩
- Publication Year :
- 2017
- Publisher :
- HAL CCSD, 2017.
-
Abstract
- International audience; In an optimization process, models are applied to simulate different design behaviors in order to determine the most suitable one. However, this requires the use of a structured methodology to correctly explore the design space and truly converge to the best solution. It is therefore necessary to test and validate the optimal design. For engines, two ways are essentially used: building and testing a real cylinder, or simulating the new design with Computational-Fluid-Dynamics (CFD) models. These two techniques are both expensive and time consuming. An alternative way is proposed to test new designs with a fast simulation based on a kriging method. The exploration of the design space is based on 27 cylinder configurations and the results of their CFD models. It converged to an optimal design depending on the objective function. A kriging method was used to interpolate the behavior of the optimal design just found. In this paper we present the β-NTF model reduction (to define the data set used by the kriging method) and the principle of the kriging technique. We then briefly discuss the results. The results underline the method's advantages despite the small gap between the expected results and those for kriging.
- Subjects :
- Optimal design
010407 polymers
Engineering
Mathematical optimization
2-stroke engine optimization
design space
Computational fluid dynamics
01 natural sciences
7. Clean energy
Industrial and Manufacturing Engineering
Cylinder (engine)
law.invention
Reduction (complexity)
010104 statistics & probability
[SPI]Engineering Sciences [physics]
Surrogate model
Kriging
law
General Materials Science
kriging
0101 mathematics
business.industry
Mechanical Engineering
Process (computing)
[SPI.MECA]Engineering Sciences [physics]/Mechanics [physics.med-ph]
0104 chemical sciences
Data set
β-NTF reduction
fast simulation
business
Subjects
Details
- Language :
- English
- ISSN :
- 22577777 and 22577750
- Database :
- OpenAIRE
- Journal :
- Mechanics & Industry, Mechanics & Industry, EDP Sciences, 2017, 18 (5), pp.509. ⟨10.1051/meca/2017029⟩
- Accession number :
- edsair.doi.dedup.....4f4596e9ba53d690fc129d7a8d6a00ce