scholarly journals CFD optimization of injection nozzles geometric dimensions of RHVT-machines in order to enhance the cooling capability

2018 ◽  
Vol 36 (3) ◽  
pp. 1081-1093 ◽  
Author(s):  
Adib Bazgir ◽  
Ali Heydari
Keyword(s):  
Cfd Optimization

CFD Optimization Tools Applied to Tundish Refractory Design

2019 ◽  
Author(s):  
R. Freire ◽  
G. Hackl ◽  
A. Resende ◽  
P. Shivaram
Keyword(s):  
Cfd Optimization

scholarly journals CFD Optimization of the Resistivity Meter for the IFMIF-DONES Facility

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2543
Author(s):  
Ranieri Marinari ◽  
Paolo Favuzza ◽  
Davide Bernardi ◽  
Francesco Saverio Nitti ◽  
Ivan Di Piazza
Keyword(s):  
Flow Stability ◽  
Electric Resistivity ◽  
Flow Conditions ◽  
Cfd Simulations ◽  
Current Configuration ◽  
Resistivity Meter ◽  
Cfd Optimization ◽  
Concentration Of Impurities ◽  
Metallic Impurities ◽  
Resistance Value

A detailed study of lithium-related topics in the IFMIF-DONES facility is currently being promoted and supported within the EUROfusion action, paying attention to different pivotal aspects including lithium flow stability and the monitoring and extraction of impurities. The resistivity meter is a device able to monitor online non-metallic impurities (mainly nitrogen) in flowing lithium. It relies on the variation of the electric resistivity produced by dissolved anions: the higher the concentration of impurities in lithium, the higher the resistivity measured. The current configuration of the resistivity meter has shown different measuring issues during its operation. All these issues reduce the accuracy of the measurements performed with this instrument and introduce relevant noise affecting the resistance value. This paper proposes different upgrades, supported by CFD simulations, to optimize lithium flow conditions and to reduce measurement problems. Owing to these upgrades, a new design of the resistivity meter has been achieved, which is simpler and easier to manufacture.

Optimization of a High Pressure Industrial Fan

2021 ◽  
Author(s):  
Edward De Jesús Rivera ◽  
Fanny Besem-Cordova ◽  
Jean-Charles Bonaccorsi
Keyword(s):  
Pressure Rise ◽  
Critical Conditions ◽  
Manufacturing Constraints ◽  
Efficient Design ◽  
Machine Performance ◽  
Mass Flow Rates ◽  
Mining Tool ◽  
Automated Optimization ◽  
Cfd Optimization ◽  
Impeller Geometry

Abstract Fans are used in industrial refineries, power generation, petrochemistry, pollution control, etc. These fans can perform in sometimes extreme, mission-critical conditions. The design of fans has historically relied on turbomachinery affinity laws, resulting in oversized machines that are expensive to manufacture and transport. With the increasingly lower CPU cost of fluid modeling, designers can now turn to CFD optimization to produce the necessary machine performance and flow conditions while respecting manufacturing constraints. The objective of this study is to maximize the pressure rise across an industrial fan while respecting manufacturing constraints. First, a 3D scan of the baseline impeller is used to create the CFD model and validated against experimental data. The baseline impeller geometry is then parameterized with 21 free parameters driving the shape of the hub, shroud, blade lean and camber. A fully automated optimization process is conducted using Numeca’s Fine™/Design3D software, allowing for a CPU-efficient Design Of Experiment (DOE) database generation and a surrogate model using the powerful Minamo optimization kernel and data-mining tool. The optimized impeller coupled with a CFD-aided redesigned volute showed an increase in overall pressure rise over the whole performance line, up to 24% at higher mass flow rates compared to the baseline geometry.

CFD optimization of an S-shaped engine diffuser with a boundary layer ingestion configuration

2013 ◽  
Vol 59 (03) ◽  
pp. 93-105 ◽  
Author(s):  
O. Scholz ◽  
M. Gariépy ◽  
J.Y. Trépanier
Keyword(s):  
Boundary Layer ◽  
Cfd Optimization

CFD optimization of an immersed particle heat exchanger

2012 ◽  
Vol 97 ◽  
pp. 841-848 ◽  
Author(s):  
Fabio De Bellis ◽  
Luciano A. Catalano
Keyword(s):  
Heat Exchanger ◽  
Cfd Optimization
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