Article
Multidisciplinary Sciences
Youchuang Chao, Olinka Ramirez-Soto, Christian Bahr, Stefan Karpitschka
Summary: The research investigates the coupling between liquid-liquid phase separation and the spreading motion of three-phase contact lines, finding that the classical Cox-Voinov law is no longer applicable and observing spreading beginning well before any visible nucleation of microdroplets. The study suggests that evaporation-induced enrichment, together with surface forces, causes an earlier nucleation in the wetting precursor film, initiating the observed wetting transition.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Multidisciplinary Sciences
Dieter A. Baumgartner, Samira Shiri, Shayandev Sinha, Stefan Karpitschka, Nate J. Cira
Summary: This study explores the rich dynamics of fully miscible, three-component droplets composed of water, ethanol, and propylene glycol on completely wetting glass substrates. The research finds that evaporation changes the composition and shape of the droplet, altering its spreading behavior. This research has practical significance in the collection, aggregation, and removal of contaminants.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Mechanics
Lubomir Bures, Yohei Sato
Summary: This study describes the formation of a microlayer in nucleate boiling as a dewetting transition in the presence of phase change, and develops a new formulation for the transition criterion based on a synthesis of existing theoretical, experimental and numerical data. The new criterion shows very good agreement with reference data from a dewetting experiment of a volatile liquid and results from a high-resolution direct numerical simulation of nucleate boiling, particularly for Jakob numbers around 75 which cover many important boiling situations.
JOURNAL OF FLUID MECHANICS
(2021)
Article
Chemistry, Multidisciplinary
Matti J. Hokkanen, Matilda Backholm, Maja Vuckovac, Quan Zhou, Robin H. A. Ras
Summary: Superhydrophobic coatings with unique properties such as self-cleaning and staying dry have recently emerged in industrial and consumer markets. The stochastic nature of coating components can affect the uniformity of water repellency, and traditional contact angle goniometry may not provide accurate quantification of wetting properties. The study demonstrates that highly sensitive force-based methods can offer advantages in quantifying microscale heterogeneity in superhydrophobic coatings.
ADVANCED MATERIALS
(2021)
Article
Engineering, Chemical
Yongshuai Wen, Yongshou Liu
Summary: The effect of surface heterogeneity of solid substrate on the wetting behavior of sessile droplets is investigated in this study. A theory is proposed to predict the contact angle by considering the droplet as a spherical cap with a contact line width. The theory is validated by comprehensive molecular dynamics simulations and shows good agreement. The relationship between the wetting behavior of sessile droplets and the heterogeneity pattern of chemically heterogeneous surfaces is established, which allows for precise control of the contact angle. The influence of heterogeneity size on wetting is quantified, and it is found that the contact angle behavior is distinct when the heterogeneity size reaches the critical value of the contact line width. The underlying mechanism is theoretically analyzed through the location of the contact line, providing an intuitive understanding.
CHEMICAL ENGINEERING SCIENCE
(2022)
Article
Materials Science, Multidisciplinary
Jacek A. Michalski, Slawomir Jakiela
Summary: This paper presents a new physical model for wetting of a liquid droplet on a solid substrate, taking into account the minimum mechanical energy achieved by the droplet in equilibrium. The model considers not only the tangential forces on the wetted surface, but also the forces acting perpendicular to it, including dispersed forces acting on the entire interface.
Article
Chemistry, Physical
Xiwushan Wang, Weiyuan Yu, Mingkang Wang, Fengfeng Wang, Baolei Wu
Summary: This study investigated the diffusion behavior of tin droplets on different surfaces, revealing the mechanism of driving energy in droplet diffusion and finding that there is minimal adhesion between the stainless steel surface and tin droplets.
SURFACES AND INTERFACES
(2022)
Article
Computer Science, Interdisciplinary Applications
Mohammad R. Hashemi, Pavel B. Ryzhakov, Riccardo Rossi
Summary: A physically consistent approach is introduced to simulate dynamics of droplets in contact with solid substrates. The proposed method is validated through numerical simulations and comparisons with experimental data, demonstrating its accuracy and effectiveness.
JOURNAL OF COMPUTATIONAL PHYSICS
(2021)
Article
Materials Science, Multidisciplinary
Weiyuan Yu, Mingkang Wang, Fengfeng Wang, Xiwushan Wang, Baolei Wu
Summary: This paper investigates the dynamic wetting behavior of metal droplets impacting metal substrates through simulation and experiment. The study finds that substrate temperature and droplet impact velocity have a significant influence on the droplet spreading process and the final spreading factor, while the average surface roughness of the substrate has minimal effect on the overall spreading process.
APPLIED PHYSICS A-MATERIALS SCIENCE & PROCESSING
(2022)
Article
Chemistry, Physical
Jianqiang Hou, Jianying Gong, Xin Wu, Qiwang Huang, Yu Li
Summary: In this study, the numerical investigation on fast droplet bouncing on concave superhydrophobic surfaces (SHSs) with trapezoidal cross-section revealed asymmetric spreading behavior and the influence of structure parameters and impact velocity on the droplet contact time. The presence of tangential momentum can enhance droplet spreading, but may not always reduce contact time. An optimal concave SHS structure with certain width and inclination angle is expected to reduce droplet contact time by 40 to 45%.
COLLOIDS AND SURFACES A-PHYSICOCHEMICAL AND ENGINEERING ASPECTS
(2021)
Article
Mechanics
Aniket S. Ambekar, Ulrich Ruede, Vivek V. Buwa
Summary: This study investigates the spreading of liquid in a randomly packed particle bed influenced by capillary, inertial, and gravitational forces using volume-of-fluid simulations. The relative contributions of these forces at different stages of spreading are analyzed through the time evolution of Weber and AB numbers. The results show that the initial spreading is primarily governed by inertial force, followed by capillary force at a later stage. The interplay of these forces leads to bubble entrapment and lateral liquid spreading. As the gravitational force increases, the contribution of inertial and capillary forces decreases, resulting in unified void filling and reduced lateral spreading. When the gravitational force is dominant, liquid spreading is primarily controlled by gravity, resulting in trickling flow and further decreased lateral spreading.
JOURNAL OF FLUID MECHANICS
(2022)
Article
Thermodynamics
Sumaiya Farzana, Ryan Baily, Prashant R. Waghmare
Summary: The study investigates the initial spreading phenomena of oil droplets on a partially wettable surface under various surrounding pressures, revealing that the spreading process is fast and the spreading radius evolves according to a power law, with the spreading exponent decreasing with increasing pressure.
EXPERIMENTAL THERMAL AND FLUID SCIENCE
(2021)
Article
Chemistry, Multidisciplinary
Jie Tan, Yufeng Guo, Wanlin Guo
Summary: The spreading of water nanodroplets on solid surfaces after impinging has been systematically studied using large-scale molecular dynamics simulations. It was found that the spreading rates of nanodroplets initially increase and then decrease with increasing diameter, with the highest spreading rates observed at diameters of 17-19 nm. This is due to the combined effect of the strongest interfacial and surface interactions within water molecules. The results also revealed the nonmonotonic characteristics of spreading velocity, interface work of adhesion, and surface tension with nanodroplet diameter.
Article
Metallurgy & Metallurgical Engineering
Ai Chun-ming, Sun Ping-ping, Wu Ai-xiang, Chen Xun, Liu Chao
Summary: This study investigates the potential effect of surfactant on improving the surface wettability of copper ore through experimental and numerical analysis. The results show that the concentration of surfactant and sulfuric acid solution play a significant role in enhancing the wettability of the ore. Liquid surface tension and ore surface roughness are identified as the key factors affecting the surface wettability.
JOURNAL OF CENTRAL SOUTH UNIVERSITY
(2022)
Article
Chemistry, Physical
Amir Azimi Yancheshme, Giuseppe R. Palmese, Nicolas J. Alvarez
Summary: This work presents a generalized solution for the spontaneous spreading dynamics of droplets, taking into account the influence of interfacial tension and gravity. The authors validate and modify a dynamic contact angle model to accurately describe the dependency of contact angle on the contact line velocity. This model is then implemented into a computational fluid dynamics (CFD) model, which is validated using experimental results.
JOURNAL OF COLLOID AND INTERFACE SCIENCE
(2023)
Article
Biochemical Research Methods
Sajjad Rahmani Dabbagh, Oguzhan Ozcan, Savas Tasoglu
Summary: This study integrates machine learning (ML) and three-dimensional (3D) printing through a user-friendly graphical user interface (GUI) to optimize printing parameters and improve the efficiency and cost-effectiveness of design-to-end-product time. By training ML algorithms, the best model for predicting print outcomes was identified, and a GUI was developed to allow users to upload designs and obtain similar results to actual 3D printing.
Review
Materials Science, Multidisciplinary
Nazente Atceken, Muhammad Munzer Alseed, Sajjad Rahmani Dabbagh, Ali K. Yetisen, Savas Tasoglu
Summary: LAMP technology is a fast, efficient, and low-cost diagnostic method for pathogen detection, which can be applied to various bacteria, viruses, and parasitic pathogens. In addition, LAMP technology can also be used for SNP genotyping and mutation detection.
ADVANCED ENGINEERING MATERIALS
(2023)
Article
Materials Science, Biomaterials
Hossein Derakhshankhah, Morteza Eskandani, Sattar Akbari Nakhjavani, Savas Tasoglu, Somayeh Vandghanooni, Mehdi Jaymand
Summary: Researchers successfully developed an innovative electrically conductive hydrogel for bone tissue engineering by incorporating silica nanoparticles and poly(aniline-co-dopamine) into oxidized alginate. The hydrogel exhibited high electrical conductivity and swelling ratio. Cytocompatibility and cell proliferation potential of the hydrogel scaffold were confirmed, and its potential for hydroxyapatite formation and bioactivity induction was demonstrated.
INTERNATIONAL JOURNAL OF POLYMERIC MATERIALS AND POLYMERIC BIOMATERIALS
(2023)
Review
Chemistry, Medicinal
Hassan Nasrollahpour, Balal Khalilzadeh, Mohammad Hasanzadeh, Reza Rahbarghazi, Pedro Estrela, Abdolhossein Naseri, Savas Tasoglu, Mika Sillanpaa
Summary: Breast cancer is the most common cancer type among women globally, and timely diagnosis is crucial for reducing mortality rate and socio-economic burden. This review comprehensively assesses the use of nanomaterials and related technologies for breast cancer diagnosis. The growing use of nano/biotechnology in electrochemical nanobiosensor designing is discussed in detail, along with recent advances in nanomaterial-based biosensing methodologies and their advantages and disadvantages. The review also focuses on designing methods, advantages, and the necessity of suitable materials from a statistical standpoint. The main objective is to classify applicable biosensors based on breast cancer biomarkers.
MEDICINAL RESEARCH REVIEWS
(2023)
Article
Chemistry, Analytical
Sattar Akbari Nakhjavani, Balal Khalilzadeh, Hadi Afsharan, Nashmin Hosseini, Mohammad Hossein Ghahremani, Sandro Carrara, Savas Tasoglu, Yadollah Omidi
Summary: Recently, there has been increased interest in electrochemiluminescent (ECL) immunosensors for biomarker detection. A highly enhanced ECL immunosensing platform was designed for ultrasensitive detection of carcinoembryonic antigen (CEA) using functional nanostructures. By entrapping CEA biomolecules using a sandwich approach and incorporating luminol/silver nanoparticles as the signaling probe, the immunosensor exhibited excellent sensitivity and selectivity for CEA detection. It also demonstrated good repeatability and stability in real human serum, making it a potential candidate for clinical CEA detection and monitoring.
Review
Biochemical Research Methods
Abdollah Ahmadpour, Pelin Kubra Isgor, Berk Ural, Busra Nimet Eren, Misagh Rezapour Sarabi, Metin Muradoglu, Savas Tasoglu
Summary: This paper reviews the designs and applications of microneedle arrays, which are micro- and nano-scale patches of needles that have been combined with microfluidic systems to create more advanced devices for biomedical applications, including drug delivery, wound healing, biosensing, and body fluid sampling. The paper also discusses modeling approaches for fluid flow and mass transfer in microneedle designs and highlights the challenges.
Editorial Material
Pathology
Berin Ozdalgic, Ali K. Yetisen, Savas Tasoglu
EXPERT REVIEW OF MOLECULAR DIAGNOSTICS
(2023)
Review
Biotechnology & Applied Microbiology
Sattar Akbari Nakhjavani, Begum K. Tokyay, Cansu Soylemez, Misagh R. Sarabi, Ali K. Yetisen, Savas Tasoglu
Summary: Prostate cancer is one of the common tumors and leading causes of male mortality. Various biosensors have been developed for the detection of prostate cancer biomarkers, but there are some limitations. New technologies are being utilized for the development of more practical biosensors.
TRENDS IN BIOTECHNOLOGY
(2023)
Article
Chemistry, Analytical
Misagh Rezapour Sarabi, Ahmet Agah Karagoz, Ali K. Yetisen, Savas Tasoglu
Summary: The field of microrobots is rapidly advancing, aiming to develop new capabilities for biomedical applications including drug delivery, surgical procedures, tracking and imaging, and sensing. Magnetic control of microrobot motion is emerging as a promising approach for these applications. This paper introduces 3D printing methods for microrobot fabrication and discusses their future perspectives towards enabling clinical translation.
Review
Materials Science, Biomaterials
Misagh Rezapour Sarabi, Ali K. Yetisen, Savas Tasoglu
Summary: Bioprinting utilizes 3D printing techniques to print tissues and organs for biomedical engineering. Conducting bioprinting in space, where there is no gravity, can advance tissue engineering. Printing of soft tissues, which are prone to collapsing, can be accelerated in microgravity. Moreover, bioprinting in space can support human colonization by providing necessary resources through 3D printing, such as living engineered filters, eliminating dependence on Earth's supplies.
ACS BIOMATERIALS SCIENCE & ENGINEERING
(2023)
Article
Chemistry, Multidisciplinary
Ceren Tarar, Erdal Aydin, Ali K. Yetisen, Savas Tasoglu
Summary: Microneedles (MNs) offer possibilities for minimally invasive diagnostics and treatment in medicine by allowing for biological fluid sampling and drug delivery. The physical parameters of MNs have traditionally been optimized through empirical data and trial-and-error methods. However, this study proposes the integration of finite element methods and machine learning models to determine the optimal physical parameters for maximizing the amount of collected fluid.
Article
Engineering, Electrical & Electronic
Abdollah Ahmadpour, Ali K. K. Yetisen, Savas Tasoglu
Summary: Continuous blood pressure monitoring allows for early detection of cardiovascular disease and health assessment. Piezoelectric blood pressure monitoring techniques have good dynamic responses but high power consumption. This study demonstrates the structural design of piezoelectric metamaterials in blood pressure sensors and compares their output voltages. Bayesian optimization is used to find the optimal design. Results show that metamaterials can generate higher electric potential compared to normal piezoelectric elements, with honeycomb metamaterials performing the best. The simulation of time-dependent blood pressure in a 3D skin tissue model confirms the superiority of the suggested design.
ACS APPLIED ELECTRONIC MATERIALS
(2023)
Review
Chemistry, Multidisciplinary
Paulami Dam, Merve Celik, Merve Ustun, Sayantan Saha, Chirantan Saha, Elif Ayse Kacar, Senanur Kugu, Elif Naz Karagulle, Savas Tasoglu, Fatih Buyukserin, Rittick Mondal, Priya Roy, Maria L. R. Macedo, Octavio L. Franco, Marlon H. Cardoso, Sevde Altuntas, Amit Kumar Mandal
Summary: Wound healing is a complex process involving various cell types and conditions. Nanoparticle-based materials have been proposed as a therapeutic approach for wound healing due to their antibacterial activity, biocompatibility, and increased mechanical strength. Different types of nanoparticles can be used depending on the type, depth, and area of the wound.
Review
Obstetrics & Gynecology
Mert Yasli, Sajjad Rahmani Dabbagh, Savas Tasoglu, Serdar Aydin
Summary: Three-dimensional printing, also known as additive manufacturing, allows the creation of complex structures out of a digital model. Its applications in medical field, such as orthopedics, dentistry, urology, and reconstructive surgery, have been rapidly developing. Obstetrics and Gynecology is an emerging application field for 3D printing, which can be used in preventive medicine, diagnosis, treatment, and surgical training.
ARCHIVES OF GYNECOLOGY AND OBSTETRICS
(2023)
Review
Chemistry, Multidisciplinary
Sajjad Rahmani Dabbagh, Misagh Rezapour Sarabi, Mehmet Tugrul Birtek, Nur Mustafaoglu, Yu Shrike Zhang, Savas Tasoglu
Summary: Organ-on-a-chip (OOC) platforms provide a more realistic environment compared to animal models and conventional cell cultures, offering continuous perfusion of cell cultures, integration of biosensors, and 3D structures fabricated through bioprinting. These platforms have great potential for understanding organ functions, studying disease impacts, and drug screening. This review presents an overview of bioprinting techniques, their advantages and limitations, recent advancements, applications, and future prospects of the 3D-bioprinted OOC platforms, as well as current challenges and future directions.
Article
Computer Science, Interdisciplinary Applications
Jin Bao, Zhaoli Guo
Summary: At the equilibrium state of a two-phase fluid system, the chemical potential is constant and the velocity is zero. However, it is challenging to capture this equilibrium state accurately in numerical simulations, resulting in inconsistent thermodynamic interfacial properties and spurious velocities. Therefore, numerical schemes with well-balanced properties are preferred for simulating two-phase flows.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Brian C. Vermeire
Summary: This study presents a framework for implicit large eddy simulation (ILES) of incompressible flows by combining the entropically damped artificial compressibility (EDAC) method with the flux reconstruction (FR) approach. Experimental results demonstrate that the method is accurate and stable for low-order solutions, while higher-order solutions exhibit significantly higher accuracy and lower divergence error compared to reference direct numerical simulation.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Mijian Li, Rui Wang, Xinyu Guo, Xinyu Liu, Lianzhou Wang
Summary: In this study, the flow mechanisms around wall-mounted structures were investigated using Large Eddy Simulation (LES). The impact of inflow turbulence on the flow physics, dynamic response, and hydrodynamic performance was explored. The results revealed strong interference between velocity fluctuations and the wake past the cylinder, as well as significant convection effects in the far wake region.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Donatella Passiatore, Luca Sciacovelli, Paola Cinnella, Giuseppe Pascazio
Summary: A high-order shock-capturing central finite-difference scheme is evaluated for numerical simulations of hyper-sonic high-enthalpy flows out of thermochemical equilibrium. The scheme utilizes a tenth-order accurate central-difference approximation of inviscid fluxes, along with high-order artificial dissipation and shock-capturing terms. The proposed approach demonstrates accuracy and robustness for a variety of thermochemical non-equilibrium configurations.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Philipp Bahavar, Claus Wagner
Summary: Condensation is an important aspect in flow applications, and simulating the gas phase and tracking the deposition rates of condensate droplets can capture the effects of surface droplets on the flow while reducing computational costs.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Andras Szabo, Gyorgy Paal
Summary: This paper introduces an efficient calculation method, the parabolized stability equations (PSE), for solving stability equations. By calculating LU factorization once in each marching step, the time spent on solving linear systems of equations can be significantly reduced. Numerical experiments demonstrate the effectiveness of this method in reducing the solution time for linear equations, and its applicability to similar problems.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
A. Khalifa, M. Breuer
Summary: This study evaluates a recently developed data-driven model for collision-induced agglomerate breakup in high mass loading flows. The model uses artificial neural networks to predict the post-collision behavior of agglomerates, reducing computational costs compared to coupled CFD-DEM simulations.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Chunmei Du, Maojun Li
Summary: This paper considers the bilayer shallow water wave equations in one-dimensional space and presents an invariant domain preserving DG method to avoid Kelvin-Helmholtz instability.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Jean-Michel Tucny, Mihir Durve, Andrea Montessori, Sauro Succi
Summary: The prediction of non-equilibrium transport phenomena in disordered media is a challenging problem for conventional numerical methods. Physics-informed neural networks (PINNs) show potential for solving this inverse problem. In this study, PINNs were used to successfully predict the velocity field of rarefied gas flow, and AdamW was found to be the best optimizer.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Min Gao, Pascal Mossier, Claus-Dieter Munz
Summary: In recent decades, the arbitrary Lagrangian-Eulerian (ALE) approach has gained popularity in dealing with fluid flows with moving boundaries. This paper presents a novel algorithm that combines the ALE finite volume (FV) and ALE discontinuous Galerkin (DG) methods into a stable and efficient hybrid approach. The main challenge of this mixed ALE FV and ALE DG method is reducing the inconsistency between the two discretizations. The proposed algorithm is implemented into a loosely-coupled fluid-structure interaction (FSI) framework and is demonstrated through various benchmark test cases and complex scenarios.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Dawid Strzelczyk, Maciej Matyka
Summary: In this study, the numerical convergence of the Meshless Lattice Boltzmann Method (MLBM) is investigated through three benchmark tests. The results are compared to the standard Lattice Boltzmann Method (LBM) and the analytical solution of the Navier-Stokes equation. It is found that MLBM outperforms LBM in terms of error value for the same number of nodes discretizing the domain.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Kanishka Bhattacharya, Tapan Jana, Amit Shaw, L. S. Ramachandra, Vishal Mehra
Summary: In this work, an adaptive algorithm is developed to address the issue of tensile instability in Smoothed Particle Hydrodynamics (SPH) by adjusting the shape of the kernel function to satisfy stability conditions. The effectiveness of the algorithm is demonstrated through dispersion analysis and fluid dynamics simulations.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Luis Laguarda, Stefan Hickel
Summary: We propose several enhancements to improve the accuracy and performance of the digital filter turbulent inflow generation technique, such as introducing a more realistic correlation function and varying target length scales. Additionally, we suggest generating inflow data in parallel at a prescribed time interval to improve computational performance. Based on the results of large-eddy simulations, these enhancements have shown to be beneficial. Suppressing streamwise velocity fluctuations at the inflow leads to the fastest relaxation of pressure fluctuations. However, this approach increases the adaptation length, which can be shortened by artificially increasing the wall-normal Reynolds stresses.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Constantin Zenz, Michele Buttazzoni, Tobias Florian, Katherine Elizabeth Crespo Armijos, Rodrigo Gomez Vazquez, Gerhard Liedl, Andreas Otto
Summary: A new model for compressible multiphase flows involving sharp interfaces and phase change is presented, with a focus on the treatment of compressibility and phase change in the multiphase fluid flow model. The model's accuracy and suitability are demonstrated through comparisons with experimental observations.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Joseph O'Connor, Sylvain Laizet, Andrew Wynn, Wouter Edeling, Peter V. Coveney
Summary: This article aims to apply uncertainty quantification and sensitivity analysis to the direct numerical simulation (DNS) of low Reynolds number wall-bounded turbulent channel flow. By using a highly scalable DNS framework and UQ techniques, the study evaluates the influence of different numerical parameters on the simulation results without explicitly modifying the code. The findings provide guidance for numerical simulations of wall-bounded turbulent flows.
COMPUTERS & FLUIDS
(2024)
