Article
Physics, Fluids & Plasmas
Mingyuan Ma, Christoph A. Haselwandter
Summary: The study presents a methodology for the self-assembly of lipids and Piezo proteins into polyhedral bilayer vesicles, validated with bacterial mechanosensitive channels. The radius of curvature of the Piezo dome is found to be a critical control parameter for the self-assembly of Piezo vesicles, with various symmetries observed as the radius increases.
Article
Mechanics
Jiahui Hao, Yu Guo
Summary: This study investigates the flow of frictional, Platonic solid-shaped particles on inclined planes using the discrete element method, and analyzes the effects of particle angular shape on rheological properties. It finds that angular particles have higher shear stresses and experience rapid surges in the coordination number and solid-phase stresses at a smaller critical solid volume fraction. Additionally, by applying a specific rolling friction to spherical particles, their rheological properties can mimic those of angular particles.
Article
Chemistry, Analytical
Daniel W. Weisgerber, Makiko Hatori, Xiangpeng Li, Adam R. Abate
Summary: In this study, we demonstrated a droplet microfluidic method for fabricating polyhedral microparticles with controlled concavity. By manipulating pressure and particle rheology, we achieved diverse particle shapes and increased capture efficiency in particle-templated emulsification, leading to enhanced chemical and biological functionality of the microparticles.
ANALYTICAL CHEMISTRY
(2022)
Article
Engineering, Chemical
Simson Julian Rodrigues, Nicole Vorhauer-Huget, Evangelos Tsotsas
Summary: The paper investigates the influence of particle shape on heat transfer in packed beds and extends a predictive model for effective thermal conductivity to different particle shapes. Experimental and numerical simulations were conducted to derive model parameters and correlations. The results indicate that the model performs well under different particle-to-gas conductivity ratios. Furthermore, the model is also applicable to irregular, non-spherical particles.
Article
Computer Science, Artificial Intelligence
Bernardo Morales-Castaneda, Daniel Zaldivar, Erik Cuevas, Alma Rodriguez, Mario A. Navarro
Summary: A new parameter for population management is implemented in the Differential Evolution algorithm in this paper, which integrates a set of operators to analyze exploration and exploitation effects and obtain important knowledge about population diversity. The proposed method can reduce population when diversity is too low to improve search capacities. Test results show greatly improved performance compared to the original algorithm and other variants.
APPLIED SOFT COMPUTING
(2021)
Article
Engineering, Chemical
Simon A. Schiele, Rolf Meinhardt, Tiaan Friedrich, Heiko Briesen
Summary: This article investigates the interaction between crystal growth and abrasion on crystal shape and discusses the potential misinterpretation of experimental data due to neglecting crystal shape.
CHEMICAL ENGINEERING RESEARCH & DESIGN
(2023)
Article
Nanoscience & Nanotechnology
Zheng Fu, Liang Qiao, Peng Li, Zhengxi Xuan, Guanhui Gao, Changning Li, Yang Liu, Mark T. Swihart
Summary: Cu, Ag, and Ag-Cu-Co3O4 nanomaterials with hierarchical flower shapes were synthesized, integrating the optical properties of the core and the magnetic properties of the branches. It was found that Ag-Cu-Co3O4 enhances SERS activity for adsorbed rhodamine 6G, showing potential for tandem SERS detection/magnetic separation applications.
ACS APPLIED MATERIALS & INTERFACES
(2021)
Article
Materials Science, Multidisciplinary
Qibo Jia, Jian Liu, Li Zhong, Yan Li, Dongping Duan
Summary: Researchers successfully prepared regular polyhedral single-crystalline SrTiO3 particles with multiple crystal facets exposed through hydrothermal method, and found that they exhibited improved photocatalytic activity compared to particles with only {100} facet exposed.
Article
Multidisciplinary Sciences
Justus Wilhelm Fink, Noelle A. Held, Michael Manhart
Summary: The growth rate of a microbial population in response to the availability of chemical nutrients and resources can vary greatly. To explain this variation, researchers developed an evolutionary model and found that population dynamics play a crucial role in determining the adaptation of half-saturation concentrations. These findings provide testable predictions for laboratory experiments and highlight how an organism's environment may not fully reflect its evolved half-saturation concentration.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2023)
Article
Chemistry, Multidisciplinary
Ling-Zhi Jin, Yan-Wei Tang, Yu-Cong Wang, Xiang Yu, Qiu-Ting Ye, Zi-Qian Wan, Dong-Qing Lin, Yu-He Kan, Qin Zhu, Sha-Sha Wang, Ling-Hai Xie, Wei Huang
Summary: In this study, the relationship between molecular structure, supramolecular interaction, aggregation mode, and crystal morphology was investigated. The feasibility of predicting crystal morphology using periodic bond chain (PBC) theory based on interaction energy (IE) values was demonstrated. The PBC theory was shown to be an effective method for predicting the morphology of organic spiro-molecules.
CHEMISTRY-AN ASIAN JOURNAL
(2023)
Article
Multidisciplinary Sciences
George Opletal, Amanda S. Barnard
Summary: The functionality of many nanomaterials involves the collective properties of aggregates and self-assembled superstructures. Using the mesostructure as a design parameter requires predictive capabilities, but this is challenging when nanoparticle samples present a diverse mixture of shapes and surface facets. It is found that polydispersed samples have different aggregation behavior than monodispersed samples, particularly in regard to the interparticle coordination and degree of long-range order, but mixing nanoparticle shapes does not affect aggregate porosity.
ADVANCED THEORY AND SIMULATIONS
(2022)
Article
Chemistry, Applied
Tamar Rosenbaum, Victoria Mbachu, Niall Anthony Mitchell, John Francis Gamble, Patricia Cho, Joshua D. Engstrom
Summary: The 2D population balance model (2D PBM) provides enhanced capability for modeling two different growth kinetics, particularly for needle-like particles in crystallization processes. While the 1D PBM is useful for optimization, it cannot accurately match particle size quantiles or investigate particle aspect ratio changes, highlighting the necessity of the 2D PBM in pharmaceutical industry applications to minimize particle aspect ratio.
ORGANIC PROCESS RESEARCH & DEVELOPMENT
(2022)
Article
Astronomy & Astrophysics
Tongge Wen, Xiangyuan Zeng
Summary: This paper presents an efficient CUDA-based implementation of a nonspherical discrete element method using polyhedrons to describe irregular particles. Two strategies are employed to exploit parallelism, including contact detection at the contact pair level and thread block allocation to reduce computational burden. Linear bounding volume hierarchies are introduced to improve the complexity of contact detection. Two numerical examples demonstrate the performance of the code, showing the trade-off between accuracy and efficiency.
ASTRONOMICAL JOURNAL
(2023)
Article
Chemistry, Physical
Jonathan Y. C. Ting, Amanda J. Parker, Amanda S. Barnard
Summary: In this study, a machine learning pipeline is proposed to group nanoparticles, classify their classes, and identify the relevant features. The results show that this method achieves accurate classification on a simulated ruthenium nanoparticles dataset and confirms the key features underlying different classes.
CHEMISTRY OF MATERIALS
(2023)
Article
Mathematics
Diego Mondejar
Summary: This paper introduces several inverse sequences of different polyhedra based on finite approximations of a compact metric space. The sequences are shown to be HPol-expansions, proving the general principle. The authors use these sequences to explicitly calculate the inverse persistent homology groups of a space and measure the errors in the approximation process.
REVISTA DE LA REAL ACADEMIA DE CIENCIAS EXACTAS FISICAS Y NATURALES SERIE A-MATEMATICAS
(2022)
Article
Engineering, Chemical
Satyajeet Yadav, Animesh Rajeev Chaturvedi, Ganesh Gaikwad, Krishnamurthy Ananthasivan, Aniruddha Bhalchandra Pandit, Ratnesh D. Jain
Summary: Sphere-pac fuel is an alternative nuclear fuel technology that uses microspheres to fill the cladding tube instead of conventional single-size fuel pellets, allowing for adjustable packing density and porosity. In this study, a flow-focusing droplet generator made from stainless steel was used to investigate the size and size distribution of ceria microspheres, which were used as a surrogate for plutonium. The characterization of the ceria microspheres was done using SEM, XRD, FTIR, and BET analyses. Precise control of the size of monodisperse microspheres was achieved using different flow-focusing droplet generators, with a size range of 498-2888 μm and a coefficient of variation of less than 2%.
CANADIAN JOURNAL OF CHEMICAL ENGINEERING
(2023)
Article
Engineering, Chemical
Jayeshkumar S. Mevada, Yogeshsing N. Rajput, Shaziya Chowdhary, Shirley Kokane, Faith Dias, Ranjeet B. Doke, Ravindra D. Kulkarni, Amit P. Pratap, Aniruddha B. Pandit
Summary: This study investigated a scalable oil extraction strategy using a hybrid approach of soaking pretreatment and ultrasound extraction. The combination of pretreatment and ultrasound-assisted extraction reduced energy consumption and treatment time compared to ultrasound alone. The maximum oil extraction yield of 99.1% and treatment time of 4 minutes make this combined approach a scalable method for continuous oil extraction. The required processing capacity for an ultrasound plant processing 1 ton of raw material per day is 2.777 kg/batch, significantly higher than ultrasound without pretreatment and Soxhlet method.
INDIAN CHEMICAL ENGINEER
(2023)
Review
Engineering, Chemical
A. A. Ganguli, A. B. Pandit, D. Kunzru
Summary: This study investigates the effects of various parameters on KLa in reactive and non-reactive liquid-liquid extraction systems, including capillary size, shape, flow ratio, presence of additives, and presence of wall film. Empirical correlations are developed based on literature data for a constant liquid flow ratio of 1, relating the Sherwood number (Sh), Reynolds number (Re), capillary number (Ca), and Schmidt number (Sc) for different ranges of Re. The concept of j-factor for micro-channels is introduced and named as the Pandit-Kunzru-Ganguli analogy. New dimensionless numbers, namely the Pandit number (Pa), Ganguli number (Gn), and Kunzru number (Ku) are introduced. The study also suggests future research directions based on the findings.
CANADIAN JOURNAL OF CHEMICAL ENGINEERING
(2023)
Article
Engineering, Chemical
Vikram V. V. Shanbhag, Joydeb Mukherjee, Aniruddha B. B. Pandit
Summary: This paper investigates the influence of electrokinetic effects on the mixing of two miscible fluid streams in microchannel devices. Analytical, semi-analytical, and numerical methods were used to evaluate the electric potential distribution and concentration distribution. The results were compared with each other and with previously published literature, showing a good agreement.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2023)
Review
Biotechnology & Applied Microbiology
Rochak Mittal, Vivek Ranade
Summary: Microalgae are a promising source of high-value biomolecules with potential applications in various industries. However, there are challenges in extracting these biomolecules from microalgae. Hydrodynamic cavitation (HC) offers an attractive solution for process intensification in microalgae processing due to its scalability, ability to handle dense slurries, intense physicochemical effects, and low cost. This review provides an overview of the processes involved in deriving high-value biomolecules from microalgae and identifies opportunities for improving productivity through HC.
JOURNAL OF APPLIED PHYCOLOGY
(2023)
Article
Engineering, Chemical
Amol Tukaram Waghmode, Aniruddha Bhalchandra Pandit, Dhanaji Mahadeo Kale, Jyeshtharaj Bhalchandra Joshi, Prasad Laxmikant Kokil
Summary: The continuous cooking system is a sustainable solution that significantly affects large-scale cooking through economy of scale. This study aims to optimize energy efficiency by using the latent heat associated with the hot cooked meal to heat incoming fresh water. A continuous cooker has been developed, capable of cooking 30 kg/h of dry food equivalent to 100 kg/h of wet cooked rice continuously.
JOURNAL OF FOOD PROCESS ENGINEERING
(2023)
Article
Acoustics
Nanda V. Ranade, Vivek V. Ranade
Summary: Cavitation processes, involving the collapse of cavities, generate intense physico-chemical effects that are useful for various applications. However, existing single cavity models are computationally demanding and not easily integrated with cavitation device or reactor scale models, limiting their usefulness. This study introduces artificial neural network (ANN) based surrogate models that accurately represent the complex effects of cavity collapse. The performance of the trained ANN was evaluated using unseen data, showing good simulation results within and beyond the training range. The presented methodology and results are beneficial for developing high-fidelity CFD models of cavitation devices/reactors.
ULTRASONICS SONOCHEMISTRY
(2023)
Article
Acoustics
Rochak Mittal, Vivek V. Ranade
Summary: Macroalgae have great potential as a renewable resource for valuable biomolecules and chemicals. New methods to extract these valuable products from macroalgae are needed. In this study, hydrodynamic cavitation was used to improve the extraction rate and yield of valuable compounds from Palmaria palmata macroalgae.
ULTRASONICS SONOCHEMISTRY
(2023)
Article
Acoustics
Peter Delaney, Varaha P. Sarvothaman, Sanjay Nagarajan, David Rooney, Peter K. J. Robertson, Vivek V. Ranade
Summary: Hydrodynamic Cavitation (HC) is a promising method for enhancing oxidative desulphurization of fuels. This study investigated the oxidation of single ring thiophene in a model fuel over a wide range of volume fraction of organic phase. The influence of HC device type and scale on the desulphurization performance was also examined.
ULTRASONICS SONOCHEMISTRY
(2023)
Article
Engineering, Chemical
Roja P. Moghadam, Chinmay A. Shukla, Vivek V. Ranade
Summary: This work presents a novel method to estimate the surface area of porous materials using machine learning and the adsorption of a conductive dye. A soft sensor based on ML is developed to relate the measured conductivity profiles with surface area and zeta potential, significantly reducing the measurement time for surface area.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2023)
Article
Multidisciplinary Sciences
Md Saiful Islam, Vivek V. Ranade
Summary: A novel, non-thermal and economically benign pre-treatment process was developed to enhance the valorisation potential of brown sludge generated by a dairy industry wastewater treatment plant. Vortex-based hydrodynamic cavitation (HC) device was used to pretreat the brown sludge and the influence on biomethane potential (BMP) was quantified. The HC treatment increased the soluble chemical oxygen demand (sCOD) by more than 25% and pushed the BMP of treated sludge to more than 80% of the theoretical BMP. The results demonstrate the significant potential of vortex-based hydrodynamic cavitation in valorising brown dairy sludge.
Article
Thermodynamics
Priyanka R. Patil, Gaurav G. Dastane, Aniruddha B. Pandit
Summary: This study focuses on using computational fluid dynamics to explore the heat transfer enhancement of a modified static mixing component called Kenics static mixer (KSM). The study compared the simulation results of the improved KSM, empty pipe, and standard KSM, and evaluated the hydrothermal efficiency of the IKSM.
Article
Chemistry, Multidisciplinary
K. Vasanth Kumar, Srinivas Gadipelli, Kiran A. Ramisetty, Claire Heffernan, Andrew A. Stewart, Vivek Ranade, Chris Howard, Dan Brett
Summary: During crystal growth in impure solution, impurities can hinder the growth process and slow down or even stop crystal growth. In this study, we discovered that curcumin crystals can grow in impure solution containing similar impurities, following a non-classical crystallisation pathway. We found that at high impurity concentrations, crystals can grow through sympathetic nucleation, where new growth surfaces form on seed crystals. These new surfaces act as active growth surfaces and play a crucial role in determining the crystal growth kinetics, especially at lower supersaturations. Additionally, creating artificial macrosteps on the crystal surface can not only accelerate the crystallisation rate but also control impurity transfer into the bulk crystals.
Article
Acoustics
Amol Gode, Ketan Madane, Vivek V. Ranade
Summary: The design parameters such as aspect ratio of the vortex chamber, number of tangential inlets, and shape of the device significantly influence the flow characteristics and cavitation in vortex-based hydrodynamic cavitation devices. Experimental validation of computational studies showed that an aspect ratio of six is optimal. The performance of devices with single and multiple inlets is comparable at the same pressure drop. Simplification of the device configuration for scale-up does not significantly affect cavitation performance.
ULTRASONICS SONOCHEMISTRY
(2023)
Article
Chemistry, Multidisciplinary
Vidit Tiwari, Gavin Walker, Vivek V. Ranade
Summary: This study investigates the breakage of organic crystals in three different particle breakage devices. The vortex-based hydrodynamic cavitation device generated a higher amount of fine particles compared to the wet mill and ultrasonic cavitation device, at similar power consumption.
CRYSTAL GROWTH & DESIGN
(2023)
