Flow-Based Optimization of Products or Devices

Basse, N.

doi:10.3390/fluids5020056

Cited by 2 publications

(1 citation statement)

References 10 publications

(25 reference statements)

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“…This information was then used in optimization algorithms to iteratively modify the shape and improve the aerodynamic performance [34,35]. Since its inception, the adjoint solver has found applications in various other fields, including structural optimization, inverse design problems, shape optimization, and multiphase flows [36][37][38][39]. Note that the observables in the adjoint solver requires field variables, such as velocity, pressure, and temperature to compute the adjoint sensitivity, thus precluding its usage in simulations of inhalation drug delivery, where aerosols were often considered as the discrete phase [40].…”

Section: Introductionmentioning

confidence: 99%

Adjoint Solver-Based Analysis of Mouth-Tongue Morphologies on Vapor Deposition in the Upper Airway

Talaat,

Si,

2024

Preprint

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Even though inhalation dosimetry is determined by three factors (i.e., breathing, aerosols, and the respiratory tract), the first two categories have been more widely studied than the last. Both breathing and aerosols are quantitative variables that can be easily changed, while respiratory airway morphologies are difficult to reconstruct, modify, and quantify. Despite several methods are available for model reconstruction and modification, developing an anatomically accurate airway model and morphing it to various physiological conditions remains labor-intensive and technically challenging. The objective of this study is to explore the feasibility of using an adjoint-CFD model to understand airway shape effects on vapor deposition and control vapor flux into the lung. A mouth-throat model was used, with the shape of the mouth and tongue being automatically varied via adjoint morphing, and the vapor transport being simulated using ANSYS Fluent coupled with a wall absorption model. Two chemicals with varying adsorption rates, Acetaldehyde and Benzene, were considered, which exhibited large differences in dosimetry sensitivity to airway shapes. For both chemicals, large shape deformations were explored to find the maximal possible morphing; both the maximal and intermediate deformations were simulated for morphology parametric studies. Results show that changing the mouth-tongue shape can alter the oral filtration by 3.2% for Acetaldehyde and 0.27% for Benzene under a given inhalation condition. This study demonstrates that the hybrid adjoint-CFD approach can be a practical and efficient method to investigate morphology-associated variability in inhalation dosimetry of vapors and nanomedicines.

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Section: Introductionmentioning

confidence: 99%

Adjoint Solver-Based Analysis of Mouth-Tongue Morphologies on Vapor Deposition in the Upper Airway

Talaat,

Si,

2024

Preprint

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Adjoint Solver-Based Analysis of Mouth–Tongue Morphologies on Vapor Deposition in the Upper Airway

Talaat,

Si,

2024

Fluids

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Even though inhalation dosimetry is determined by three factors (i.e., breathing, aerosols, and the respiratory tract), the first two categories have been more widely studied than the last. Both breathing and aerosols are quantitative variables that can be easily changed, while respiratory airway morphologies are difficult to reconstruct, modify, and quantify. Although several methods are available for model reconstruction and modification, developing an anatomically accurate airway model and morphing it to various physiological conditions remains labor-intensive and technically challenging. The objective of this study is to explore the feasibility of using an adjoint–CFD model to understand airway shape effects on vapor deposition and control vapor flux into the lung. A mouth–throat model was used, with the shape of the mouth and tongue being automatically varied via adjoint morphing and the vapor transport being simulated using ANSYS Fluent coupled with a wall absorption model. Two chemicals with varying adsorption rates, Acetaldehyde and Benzene, were considered, which exhibited large differences in dosimetry sensitivity to airway shapes. For both chemicals, the maximal possible morphing was first identified and then morphology parametric studies were conducted. Results show that changing the mouth–tongue shape can alter the oral filtration by 3.2% for Acetaldehyde and 0.27% for Benzene under a given inhalation condition. The front tongue exerts a significant impact on all cases considered, while the impact of other regions varies among cases. This study demonstrates that the hybrid adjoint–CFD approach can be a practical and efficient method to investigate morphology-associated variability in the dosimetry of vapors and nanomedicines under steady inhalation.

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Flow-Based Optimization of Products or Devices

Abstract: Flow-based optimization of products and devices is an immature field compared to corresponding topology optimization based on solid mechanics [...]

Cited by 2 publications

References 10 publications

Adjoint Solver-Based Analysis of Mouth-Tongue Morphologies on Vapor Deposition in the Upper Airway

Adjoint Solver-Based Analysis of Mouth-Tongue Morphologies on Vapor Deposition in the Upper Airway

Adjoint Solver-Based Analysis of Mouth–Tongue Morphologies on Vapor Deposition in the Upper Airway

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