Ricardo Arbach Fernandes de Oliveira

Ricardo Arbach Fernandes de Oliveira

Universidade Federal de São Carlos

H-index: 2

Latin America-Brazil

About Ricardo Arbach Fernandes de Oliveira

Ricardo Arbach Fernandes de Oliveira, With an exceptional h-index of 2 and a recent h-index of 2 (since 2020), a distinguished researcher at Universidade Federal de São Carlos, specializes in the field of fluidodinâmica computacional, separação gás-sólido.

His recent articles reflect a diverse array of research interests and contributions to the field:

NUMERICAL STUDY OF TURBULENCE ON DRAG COEFFICIENT DETERMINATION FOR PARTICLE AGGLOMERATES: Original scientific paper

Drag coefficient on particle agglomerates: a CFD study with experimental validation

On the drag coefficient in particle agglomerates: a CFD approach to propose a new drag correlation

UMA NOVA CORRELAÇÃO PARA CÁLCULO DE COEFICIENTE DE ARRASTE EM AGLOMERADOS DE PARTÍCULAS

Ricardo Arbach Fernandes de Oliveira Information

University

Universidade Federal de São Carlos

Position

Doutorando em Engenharia Química

Citations(all)

44

Citations(since 2020)

41

Cited By

12

hIndex(all)

2

hIndex(since 2020)

2

i10Index(all)

2

i10Index(since 2020)

2

Email

University Profile Page

Universidade Federal de São Carlos

Ricardo Arbach Fernandes de Oliveira Skills & Research Interests

fluidodinâmica computacional

separação gás-sólido

Top articles of Ricardo Arbach Fernandes de Oliveira

NUMERICAL STUDY OF TURBULENCE ON DRAG COEFFICIENT DETERMINATION FOR PARTICLE AGGLOMERATES: Original scientific paper

Authors

Ricardo Arbach Fernandes de Oliveira,Julio Henrique Zanata,Gabriela Cantarelli Lopes

Journal

Chemical Industry & Chemical Engineering Quarterly

Published Date

2024

Numerical simulations of the flow surrounding particle agglomerates were carried out using computational fluid dynamics to assess the ability of five RANS turbulence models to estimate the drag coefficient in particle agglomerates. Simulations were carried out in steady conditions for Reynolds numbers between 1 and 1500. Streamlines showed that symmetrical agglomerates present a velocity profile similar to the single sphere profile. Results showed that both Spalart-Allmaras and SST k-ω turbulence models could represent the flow profile in the regions near and far from the walls of the agglomerates and the wake region in the rear of the agglomerates. The RNG k-ε model showed poor quality in predicting the velocity profile and the drag coefficient. The drag coefficient obtained by simulations presented a trend better represented by the Tran-Cong model, also showing that deviations from the predictions decreased as the packing density of the agglomerate increased. The use of steady RANS simulations showed to be a feasible and efficient method to predict, with low computational cost, the drag coefficient in particle agglomerates. For the transition and turbulent flows, results presented good agreement, with deviations between-15% and 13%, while for lower Reynolds numbers, deviations varied between-25% and 5%.

Drag coefficient on particle agglomerates: a CFD study with experimental validation

Authors

Ricardo Arbach F de Oliveira,Gabriela Cantarelli Lopes

Journal

Journal of the Brazilian Society of Mechanical Sciences and Engineering

Published Date

2023/9

The formation of irregularly shaped particle agglomerates is a recurring phenomenon observed in equipment with particle-laden flows, which directly interferes in the flow profile, due to drag effects. To observe the capability of computational fluid dynamics to predict the drag coefficient in particle agglomerates, laboratory experiments were performed, aiming the validation of simulations. Experimental assays were performed to obtain both the fluids’ properties and the terminal velocities of the particle agglomerates. To evaluate the drag coefficient, simulations were carried out at steady state for the experimental conditions and the results were compared. Simulations presented good agreement with the experimental assays, with most of deviations lower than ±10%. Simulations of the agglomerates of four and five particles falling in water presented higher deviations, 12.73% and 19.92%, respectively. Higher …

On the drag coefficient in particle agglomerates: a CFD approach to propose a new drag correlation

Authors

Ricardo Arbach Fernandes de Oliveira

Published Date

2023/7/31

In particle-laden flows, it is essential to model the fluid-particle interaction. However, depending on effects such as friction and attraction, surface properties, and collisions, particles can agglomerate, generating new irregularly-shaped particles. Such phenomenon is relevant since the geometry directly interferes with the flow dynamics. One way to evaluate how the particle will interfere is through the drag force. In the theoretical development of equipment, this force is taken into account and represented by the drag coefficient and is highly dependent on two variables: particle geometry and flow velocity. In the literature, several correlations are observed, obtained both in the experimental field or numerical field, using computational fluid dynamics (CFD). The advantage of using CFD lies in the ease of varying the flow velocity and in obtaining the drag coefficient from the pressure and velocity fields. However, most of these methods employ transient formulations, resulting in highly detailed but computationally expensive outcomes. This cost increases exponentially as the Reynolds number of the flow increases, making the study of turbulent flows infeasible. Consequently, these models are generally obtained for Reynolds numbers below 300 and then extrapolated to higher values when implemented in CFD codes. Thus, this study proposes an alternative approach to the problem by using steady formulation simulations, aiming to reduce computational costs and proposing a new, simple, and unified correlation for the drag coefficient capable of encompassing a wide range of flows, from laminar to turbulent, applicable to irregularly shaped particles and …

UMA NOVA CORRELAÇÃO PARA CÁLCULO DE COEFICIENTE DE ARRASTE EM AGLOMERADOS DE PARTÍCULAS

Authors

RICARDO AF DE OLIVEIRA,GABRIELA C LOPES

Published Date

2022

Simulações numéricas do escoamento ao redor de aglomerados de partículas foram realizadas utilizando técnicas de fluidodinâmica computacional para se estimar o coeficiente de arraste. As simulações foram realizadas em estado estacionário em uma faixa de Reynolds entre 1 e 1500. Neste estudo, foi proposto o aprimoramento de correlações de estimativa de coeficiente de arraste para partículas aglomeradas a baixos valores de Reynolds, visando extrapolar sua aplicabilidade para faixas de Reynolds superiores a 300. A implementação da função logarítmica na correlação aprimora a capacidade de estimar o coeficiente de arraste nas faixas mais elevadas de Reynolds. Os resultados mostraram que há a necessidade do uso de um parâmetro geométrico para aprimorar a acurácia na estimativa do coeficiente de arraste em aglomerados de partículas. Dos parâmetros testados, o achatamento mostrou-se capaz de apresentar uma melhoria significativa ao longo de toda a faixa de Reynolds testada. Ao utilizá-lo na nova correlação, os desvios relativos reduziram e variaram entre-4, 37% e 3, 90%.

See List of Professors in Ricardo Arbach Fernandes de Oliveira University(Universidade Federal de São Carlos)

Ricardo Arbach Fernandes de Oliveira FAQs

What is Ricardo Arbach Fernandes de Oliveira's h-index at Universidade Federal de São Carlos?

The h-index of Ricardo Arbach Fernandes de Oliveira has been 2 since 2020 and 2 in total.

What are Ricardo Arbach Fernandes de Oliveira's top articles?

The articles with the titles of

NUMERICAL STUDY OF TURBULENCE ON DRAG COEFFICIENT DETERMINATION FOR PARTICLE AGGLOMERATES: Original scientific paper

Drag coefficient on particle agglomerates: a CFD study with experimental validation

On the drag coefficient in particle agglomerates: a CFD approach to propose a new drag correlation

UMA NOVA CORRELAÇÃO PARA CÁLCULO DE COEFICIENTE DE ARRASTE EM AGLOMERADOS DE PARTÍCULAS

are the top articles of Ricardo Arbach Fernandes de Oliveira at Universidade Federal de São Carlos.

What are Ricardo Arbach Fernandes de Oliveira's research interests?

The research interests of Ricardo Arbach Fernandes de Oliveira are: fluidodinâmica computacional, separação gás-sólido

What is Ricardo Arbach Fernandes de Oliveira's total number of citations?

Ricardo Arbach Fernandes de Oliveira has 44 citations in total.

What are the co-authors of Ricardo Arbach Fernandes de Oliveira?

The co-authors of Ricardo Arbach Fernandes de Oliveira are Gabriela Cantarelli Lopes.

    Co-Authors

    H-index: 11
    Gabriela Cantarelli Lopes

    Gabriela Cantarelli Lopes

    Universidade Federal de São Carlos

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