Optimization of air flow field of the melt blowing slot die via numerical simulation and genetic algorithm

Sun, Yize; Wang, Xinhou

doi:10.1002/app.31109

Cited by 43 publications

(38 citation statements)

References 14 publications

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“…They found that the velocity and temperature decay were affected by the die geometry significantly. Recently, we11 simulated the air velocity and temperature fields of a melt‐blowing slot die and analyzed the effects of the slot angle, slot width, and nose piece on the air‐flow field.…”

Section: Introductionmentioning

confidence: 99%

Air‐flow field of the melt‐blowing slot die via numerical simulation and multiobjective genetic algorithms

Sun

Liu

Wang

et al. 2011

J of Applied Polymer Sci

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The air-flow field in melt blowing plays a key role in fiber drawing and nonwoven web performance. A multiobjective optimization using genetic algorithms was proposed to obtain optimum air-flow field with the lowest velocity decay and temperature decay of the air-flow field of a melt-blowing slot die. Four main geometry parameters, including slot width, head width, slot angle, and setback, were studied. The optimal results were achieved in the 50th generation with 20 individuals of each generation. The results also show that a smaller slot angle and larger slot width resulted in a lower air velocity decay and temperature decay.

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Section: Introductionmentioning

confidence: 99%

Air‐flow field of the melt‐blowing slot die via numerical simulation and multiobjective genetic algorithms

Sun

Liu

Wang

et al. 2011

J of Applied Polymer Sci

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“…This is probably due to the relatively long computational time in these applications. Other applications include heat exchange performance [71e73], airfoil design [74,75], car shape design [76], airflow field optimization of a melt blowing slot die [77], and geometric optimization of a gas turbine transition piece [78].…”

Section: Cfd-based Genetic Algorithm Methodsmentioning

confidence: 99%

State-of-the-art methods for inverse design of an enclosed environment

Liu

Zhang

Xue

et al. 2015

Building and Environment

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a b s t r a c tThe conventional design of enclosed environments uses a trial-and-error approach that is time consuming and may not meet the design objective. Inverse design concept uses the desired enclosed environment as the design objective and inversely determines the systems required to achieve the objective. This paper discusses a number of backward and forward methods for inverse design. Backward methods, such as the quasi-reversibility method, pseudo-reversibility method, and regularized inverse matrix method, can be used to identify contaminant sources in an enclosed environment. However, these methods cannot be used to inversely design a desired indoor environment. Forward methods, such as the CFD-based adjoint method, CFD-based genetic algorithm method, and proper orthogonal decomposition method, show the promise in the inverse design of airflow and heat transfer in an enclosed environment. The CFD-based adjoint method is accurate and can handle many design parameters without increasing computing costs, but the method may find a locally optimal design that could meet the design objective with constrains. The CFD-based genetic algorithm method, on the other hand, can provide the global optimal design that can meet the design objective without constraints, but the computing cost can increase dramatically with the number of design parameters. The proper orthogonal decomposition method is a reduced-order method that can significantly lower computing costs, but at the expense of reduced accuracy. This paper also discusses the possibility to reduce the computing costs of CFD-based design methods.

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“…In our research group, we have been involved with extensive studies of various aspects of melt blowing process, including, fiber formation model , airflow field , and melt blown web formation . We developed a bead‐viscoelastic element fiber model and then adopted a mixed Euler‐Lagrange approach to simulate the three‐dimensional fiber motion, especially the whipping motion in the process of melt blowing.…”

Section: Introductionmentioning

confidence: 99%

Study on airflow field and fiber motion with new melt blowing die

Wan-jin

Xie

Shi

et al. 2019

Polymer Engineering & Sci

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In this study, a new melt-blowing die was studied with the computational fluid dynamic approach. A bead-viscoelastic element fiber model was established to model threedimensional paths of the fiber motion with the standard linear solid (SLS) constitutive equation in different airflow fields. The effects of this newly designed die on the velocity field, temperature field, and turbulence fluctuation field at the centerline were studied and compared with the traditional melt blowing die. The fiber motion was simulated and compared with the airflow field of different dies. The simulations results demonstrated that the new die was able to reduce the velocity fluctuations of the air flow near the outlet of the polymer capillary and generate the higher centerline air velocity and temperature. The fiber attenuation and motion were related to the centerline air velocity, temperature, and turbulent fluctuation in the melt blowing process.

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Optimization of air flow field of the melt blowing slot die via numerical simulation and genetic algorithm

Cited by 43 publications

References 14 publications

Air‐flow field of the melt‐blowing slot die via numerical simulation and multiobjective genetic algorithms

Air‐flow field of the melt‐blowing slot die via numerical simulation and multiobjective genetic algorithms

State-of-the-art methods for inverse design of an enclosed environment

Study on airflow field and fiber motion with new melt blowing die

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