Integer programming topology optimization for subsonic compressible flows with geometry trimming

Maffei, Felipe Silva; Sá, Luís Fernando Nogueira de; Moscatelli, Eduardo; Picelli, Renato; Meneghini, Júlio Romano; Silva, Emilío Carlos Nelli

doi:10.1016/j.ijheatmasstransfer.2022.123614

Cited by 9 publications

(2 citation statements)

References 33 publications

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“…Its structure involves merging several outlets from the furnace tube into one and finally entering the vacuum distillation column. Due to the complex composition of the process materials from the vacuum heating furnace to the vacuum distillation tower and being a compressible fluid, , it is difficult to predict the internal flow conditions during the transmission process, making its optimization design complex. However, the design of its vacuum transfer lines is the key core for improving the extraction rate, optimizing capacity expansion, and improving the quality of side products of the vacuum unit.…”

Section: Introductionmentioning

confidence: 99%

“…19 Macǎk et al 20 calculates subsonic compressible gas-particle flow based on computational fluid dynamics and discrete element method (CFD-DEM) models, but their work lack research on compressible hydrocarbons in transfer lines. Furthermore, the strong circumferential variation in temperature 21 in the transfer lines and the bent pipe structure 4,22 have a significant impact on the transmission efficiency. Consequently, based on real industrial transfer lines, exploring the true flow conditions inside its pipelines is important for understanding and optimizing the transfer lines.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Computational Fluid Dynamics Simulation of Internal Compressible Flow in Transfer Lines and Structural Optimization

Qin,

Cong,

Fang

et al. 2023

Ind. Eng. Chem. Res.

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The design of transfer lines is a key factor affecting the transmission performance of petroleum transportations in vacuum distillation units of the petrochemical industry. Therefore, this study established a simulation method to describe compressible fluids in transfer lines and validated this method using a planar nozzle model and industrial data. Subsequently, the simulation results of pressure, velocity, and Ma number distribution were analyzed and discussed for seven sets of industrial transfer lines. The results indicate that the structure of the transition section and connection section is the key factor affecting the performance of the transfer line, and the connection forms of horizontal direct insertion (Case 1) and gradual expansion (Case 4 and Case 5) help to reduce the pressure drop in the transition section and connection section. For this reason, based on Case 1, a detailed analysis was conducted on the internal flow field and pressure drop at the connection under different mass flow rates, and a universal optimization method was proposed to connect the transition section and low-speed section in the transfer line. The results show that the optimized structure can eliminate large eddies at the connection section and reduce the pressure drop by 36.8%. The modeling methodology and the results presented will be useful for evolving better designs of transfer lines accompanying compressible fluids.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Computational Fluid Dynamics Simulation of Internal Compressible Flow in Transfer Lines and Structural Optimization

Qin,

Cong,

Fang

et al. 2023

Ind. Eng. Chem. Res.

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Turbulence effects in the topology optimization of compressible subsonic flow

Garcia‐Rodriguez,

Alonso,

Silva

2024

Numerical Methods in Fluids

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Turbulence significantly influences fluid flow topology optimization, and this has already been verified under the incompressible flow regime. However, the same cannot be said about the compressible flow regime, in which the density field now affects and couples all of the fluid flow and turbulence equations and makes obtaining the adjoint model, which is necessary for topology optimization, extremely difficult. Up to now, the turbulence phenomenon has still not been considered in compressible flow topology optimization, which is what is being proposed and analyzed here. Rather than being based in the Reynolds‐Averaged Navier–Stokes (RANS) equations which are defined only for incompressible flow, the equations are now based on the Favre‐Averaged Navier–Stokes (FANS) equations, which are the counterpart of the RANS equations for compressible flow and feature different dependencies and terms. The compressible turbulence model being considered is the compressible version of the Spalart–Allmaras model, which differs from the usual Spalart–Allmaras model, since now there are some new spatially varying density and specific heat terms that depend on the primal variables and that act over some of the turbulence terms of the overall model. The adjoint equations are obtained by using an automatic differentiation scheme through a coupled software platform. The optimization algorithm is IPOPT, and some examples are presented to show the effect of turbulence in the compressible flow topology optimization.

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Topology optimization of radial flow field PEM fuel cells for enhancing water management

Razmara,

Sá,

Prado

et al. 2024

Struct Multidisc Optim

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Integer programming topology optimization for subsonic compressible flows with geometry trimming

Cited by 9 publications

References 33 publications

Computational Fluid Dynamics Simulation of Internal Compressible Flow in Transfer Lines and Structural Optimization

Computational Fluid Dynamics Simulation of Internal Compressible Flow in Transfer Lines and Structural Optimization

Turbulence effects in the topology optimization of compressible subsonic flow

Topology optimization of radial flow field PEM fuel cells for enhancing water management

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