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Article

Valve Geometry and Flow Optimization through an Automated DOE Approach

1
R&D and Engineering Department, Omiq Srl, 20135 Milan, Italy
2
Industrial Engineering Department, University of Naples Federico II, 80125 Naples, Italy
*
Authors to whom correspondence should be addressed.
Fluids 2020, 5(1), 17; https://doi.org/10.3390/fluids5010017
Received: 4 December 2019 / Revised: 24 January 2020 / Accepted: 28 January 2020 / Published: 30 January 2020
(This article belongs to the Special Issue Flow-Based Optimization of Products or Devices)
The objective of this paper is to show how a completely virtual optimization approach is useful to design new geometries in order to improve the performance of industrial components, like valves. The standard approach for optimization of an industrial component, as a valve, is mainly performed with trials and errors and is based on the experience and knowledge of the engineer involved in the study. Unfortunately, this approach is time consuming and often not affordable for the industrial time-to-market. The introduction of computational fluid dynamic (CFD) tools significantly helped reducing time to market; on the other hand, the process to identify the best configuration still depends on the personal sensitivity of the engineer. Here a more general, faster and reliable approach is described, which uses a CFD code directly linked to an optimization tool. CAESES® associated with SimericsMP+® allows us to easily study many different geometrical variants and work out a design of experiments (DOE) sequence that gives evidence of the most impactful aspects of a design. Moreover, the result can be further optimized to obtain the best possible solution in terms of the constraints defined. View Full-Text
Keywords: optimization; valves; computational fluid dynamic (CFD); CAESES®; SimericsMP+® optimization; valves; computational fluid dynamic (CFD); CAESES®; SimericsMP+®
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MDPI and ACS Style

Olivetti, M.; Monterosso, F.G.; Marinaro, G.; Frosina, E.; Mazzei, P. Valve Geometry and Flow Optimization through an Automated DOE Approach. Fluids 2020, 5, 17. https://doi.org/10.3390/fluids5010017

AMA Style

Olivetti M, Monterosso FG, Marinaro G, Frosina E, Mazzei P. Valve Geometry and Flow Optimization through an Automated DOE Approach. Fluids. 2020; 5(1):17. https://doi.org/10.3390/fluids5010017

Chicago/Turabian Style

Olivetti, Micaela, Federico G. Monterosso, Gianluca Marinaro, Emma Frosina, and Pietro Mazzei. 2020. "Valve Geometry and Flow Optimization through an Automated DOE Approach" Fluids 5, no. 1: 17. https://doi.org/10.3390/fluids5010017

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