Lattice Boltzmann Simulations of Flow Over an Iced Airfoil

Ihi, Rafael N.; Ribeiro, Andre F.; Santos, Luis; Silva, Daniel

doi:10.4271/2019-01-1945

Cited by 3 publications

(1 citation statement)

References 25 publications

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“…Opportunities to implement further error-proofing were carried forward in a color-coded driver diagram. 14 The colors indicate the current status of each potential improvement.…”

Section: Depression Follow-up In Oncology and Psychiatrymentioning

confidence: 99%

Applying Lean Six Sigma to Improve Depression Screening and Follow-Up in Oncology Clinics

Gerard¹,

Robbins²,

Putra³

et al. 2021

J Healthc Qual

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Depression is a common and serious illness that impairs the health of individuals and societies globally. It is associated with a significant economic burden, with productivity losses exceeding $40 billion dollars annually in the United States (U.S.) alone. This project focused on the use of a systematic, data-driven approach to improve the screening rate for depression in an academic, metropolitan cancer center located in North Texas. A multidisciplinary team collaboratively applied Lean Six Sigma education, methods, and tools within oncology and psychiatry clinics to address the increased risk of depression among oncology patients. Improving the standardization of screening and follow-up processes, resulted in a 44% sustained increase in the depression screening and follow-up performance rate. This improvement was verified to be statistically significant through the use of control charts toward the end of the project.

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“…Opportunities to implement further error-proofing were carried forward in a color-coded driver diagram. 14 The colors indicate the current status of each potential improvement.…”

Section: Depression Follow-up In Oncology and Psychiatrymentioning

confidence: 99%

Applying Lean Six Sigma to Improve Depression Screening and Follow-Up in Oncology Clinics

Gerard¹,

Robbins²,

Putra³

et al. 2021

J Healthc Qual

View full text Add to dashboard Cite

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Aerodynamic Prediction of Iced Airfoils Based on Modified Three-Equation Turbulence Model

Zhang

Chen

2020

AIAA Journal

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Numerical Simulation of Iced Wing Using Separating Shear Layer Fixed Turbulence Models

Zhang

Chen

2021

AIAA Journal

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Aerodynamic prediction of glaze ice accretion on airfoils and wing is studied using the Reynolds-averaged Navier-Stokes method. Two separation fixed turbulence models are developed considering the nonequilibrium characteristics of turbulence. The key ad hoc fix is a term of the local ratio of turbulent production to dissipation, which is used to amplify the destruction term of the 𝝎-equation to increase the eddy viscosity in a separating shear layer of the fully turbulent region. A shear stress limiter is adopted to appropriately simulate the beginning process of the shear layer transition when the turbulence is under development. The proposed separation fixed terms can be easily implemented into current solvers. Two airfoils and a three-dimensional swept wing with ice accretions are numerically tested using the modified models. The results indicate that the separating shear layer fixes improve the ability of the models in predicting the stall behavior at large angles of attack. The simulated averaged flow field and turbulence intensity distribution are consistent with experimental data. Nomenclature ℎ 𝑖𝑐𝑒 = ice height c = airfoil chord length Re = Reynolds number 𝜌 = air density 𝛺 = magnitude of vorticity

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Lattice Boltzmann Simulations of Flow Over an Iced Airfoil

Cited by 3 publications

References 25 publications

Applying Lean Six Sigma to Improve Depression Screening and Follow-Up in Oncology Clinics

Applying Lean Six Sigma to Improve Depression Screening and Follow-Up in Oncology Clinics

Aerodynamic Prediction of Iced Airfoils Based on Modified Three-Equation Turbulence Model

Numerical Simulation of Iced Wing Using Separating Shear Layer Fixed Turbulence Models

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