CFD-based casing and distributor hydraulic design optimization

29th IAHR Symposium on Hydraulic Machinery and Systems

Devals, C.^1 ; Murry, N.^2 ; Mullins, B.F.^2 ; Dompierre, J.^1 ; Mangani, L.^3 ; Guibault, F.^1

École Polytechnique de Montréal, Montréal

QC, Canada^1

Andritz Hydro, Pointe-Claire

QC, Canada^2

Lucerne University of Applied Sciences and Arts, Technik and Architektur, Horw, Switzerland^3

关键词: Computational power;    Engineering constraints;    Evolutionary optimization algorithm;    Hydraulic components;    Hydraulic design optimization;    Hydraulic efficiency;    Hydraulic geometry;    Hydraulic performance;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/240/2/022033/pdf
DOI  :  10.1088/1755-1315/240/2/022033

来源: IOP

【 摘 要 】

With recent advances in computational power, it is possible to optimize the design of complex hydraulic components such as casings and distributors in addition to runners and draft tubes. Continuing our previous work on CFD-based draft tube hydraulic design optimization, we present a procedure based on a metamodel-assisted evolutionary optimization algorithm comprising a parametric casing and distributor hydraulic geometry model and a hydraulic efficiency evaluation using an in-house mesh generator and a coupled finite volume flow solver developed by the University of Lucerne (HSLU). The approach can take hydraulic performance as well as mechanical stresses and civil engineering constraints into account, with the goal of helping designers obtain better overall solutions than with traditional design methods alone.