Phenomenon Of Formation Research Articles

A mechanism for the bubble formation during evaporative crystallization of saline droplets below boiling point

This study explores the peculiar phenomenon of bubble formation during evaporative crystallization at temperatures below boiling point, focusing on high latent heat solid-forming salts (Na2CO3, K2CO3, and Na2SO4) compared to lower latent heat solid-forming salts (NaCl, KNO3, and NH4Cl). Droplet evaporative crystallization experiments are conducted at temperatures ranging from 58 °C to 110 °C. The findings consistently show that salts with high latent heat of solid formation exhibit bubble nucleation and growth during crystallization. A plausible mechanism for this bubble formation is proposed, involving the interplay of thermal gradients and crystallization rates. Crystallization releases a significant amount of latent heat, leading to localized temperature increases near the crystal-liquid interface, often exceeding the boiling point. This can trigger bubble formation even if the substrate is below boiling. Energy balance at the interface during crystallization is used to interpret the local temperature rise at the crystal-liquid interface. The study also examines the influence of various parameters (initial concentration, substrate temperature, surface wettability, and different salts) on bubble nucleation and growth, emphasizing the critical role of latent heat release in these processes. This research offers valuable insights into the mechanisms of bubble formation in evaporative crystallization for the first time in the author's best knowledge.

“Dead Lithium” Formation and Mitigation Strategies in Anode‐Free Li‐Metal Batteries

AbstractThin lithium‐metal foil is a promising anode material for next‐generation batteries due to its high theoretical specific capacity and low negative potential. However, safety issues linked to dendrite growth, low‐capacity retention, and short cycle life pose significant challenges. Also, it has excess energy that must be minimized in order to reduce the battery costs. To limit excess lithium, practical lithium metal batteries need a negative‐to‐positive electrode ratio as close to 1 : 1 as possible, which can be achieved through limiting excess lithium or using an “anode‐free” metal battery design. However, both designs experience fast capacity fade due to the irreversible loss of active lithium in the cell, caused by the formation of the solid electrolyte interphase (SEI), dendrite formation and “dead lithium,” – refers to lithium that has lost its electronic connection to the anode electrode or current collector. The presence of dead lithium in batteries negatively affects their capacity and lifespan, while also raising internal resistance and generating heat. Additionally, dead lithium encourages the growth of lithium dendrites, which poses significant safety hazards. Within this fundamental review, we thoroughly address the phenomenon of dead lithium formation, assessing its origins, implications on battery performance, and possible strategies for mitigation. The transition towards environmentally friendly and high‐performance metal batteries could be accelerated by effectively tackling the challenge posed by dead lithium.

A three-layer Hele-Shaw problem driven by a sink

In this paper, we investigate a sink-driven three-layer flow in a radial Hele-Shaw cell. The three fluids are of different viscosities, with one fluid occupying an annulus-like domain, forming two interfaces with the other two fluids. Using a boundary integral method and a semi-implicit time stepping scheme, we alleviate the numerical stiffness in updating the interfaces and achieve spectral accuracy in space. The interaction between the two interfaces introduces novel dynamics leading to rich pattern formation phenomena, manifested by two typical events: either one of the two interfaces reaches the sink faster than the other (forming cusp-like morphology), or they come very close to each other (suggesting a possibility of interface merging). In particular, the inner interface can be wrapped by the other to have both scenarios. We find that multiple parameters contribute to the dynamics, including the width of the annular region, the location of the sink, and the mobilities of the fluids.

Unveiling the Human Brain on a Chip: An Odyssey to Reconstitute Neuronal Ensembles and Explore Plausible Applications in Neuroscience.

The brain is an incredibly complex structure that consists of millions of neural networks. In developmental and cellular neuroscience, probing the highly complex dynamics of the brain remains a challenge. Furthermore, deciphering how several cues can influence neuronal growth and its interactions with different brain cell types (such as astrocytes and microglia) is also a formidable task. Traditional in vitro macroscopic cell culture techniques offer simple and straightforward methods. However, they often fall short of providing insights into the complex phenomena of neuronal network formation and the relevant microenvironments. To circumvent the drawbacks of conventional cell culture methods, recent advancements in the development of microfluidic device-based microplatforms have emerged as promising alternatives. Microfluidic devices enable precise spatiotemporal control over compartmentalized cell cultures. This feature facilitates researchers in reconstituting the intricacies of the neuronal cytoarchitecture within a regulated environment. Therefore, in this review, we focus primarily on modeling neuronal development in a microfluidic device and the various strategies that researchers have adopted to mimic neurogenesis on a chip. Additionally, we have presented an overview of the application of brain-on-chip models for the recapitulation of the blood-brain barrier and neurodegenerative diseases, followed by subsequent high-throughput drug screening. These lab-on-a-chip technologies have tremendous potential to mimic the brain on a chip, providing valuable insights into fundamental brain processes. The brain-on-chip models will also serve as innovative platforms for developing novel neurotherapeutics to address several neurological disorders.

Research on wax removal and prevention technology of White Wolf City oil well

Abstract Oil well wax removal technology is an important subject in the process of oil field exploitation. This paper analyzes the mechanism and characteristics of wax formation in oil Wells by measuring the amount of wax in crude oil in Baiwolcheng oil area. When the waxy component, which usually exists in liquid form, is accompanied by crude oil from underground to the ground, the waxy crystal precipitates and deposits in the inner wall of oil pipe due to the gradual decrease of the temperature of crude oil. The phenomenon of paraffin formation, paraffin formation process and paraffin formation law of oil well are studied, and chemical paraffin removal and anti-wax technology is determined as the main research object, evaluation and optimization of paraffin removal and anti-wax agent, and determination of dosage concentration and dosage.

Dynamics and Thermodynamics Study of the Adsorption of Lysozyme to 2D SnSe Nanoflake Surfaces with Associated Unfolding

AbstractIn this work, we explore the interaction as well as corona formation and interfacial phenomena of lysozyme (LYZ) and 2D SnSe nanoflake. The optical results indicate formation of ground state complex with an apparent association constant of 1.5 × 103 (mol)−1. The dynamics of the in situ interaction exhibited surface reorganization (t2 = 73.5 min) and unfolding, which were more prominent than binding (t1 = 3 min) for tryptophan residues of LYZ. The formations of soft and hard corona of the LYZ structure were clearly observed from HRTEM. The emission quenching exhibited tertiary deformation of the LYZ structure with positive cooperative binding (n > 1) and dynamics of quenching followed the sigmoidal Boltzmann nature of the energy transfer process. The ultrafast lifetime of the bioconjugate varied from 1.9–1.35 ns with a maximum 63% energy transfer efficiency within 300 min of the corona evolution. The decrement of α helix (58.87%–21.78%) and increment of β sheet (5.27%–23.98%) were observed after interaction, with the conversion of large amount of α helix into β sheet. The ITC results showed that the injection heat results followed two‐site binding model, and the exothermic binding was dominate over the interaction. The second phase binding is driven by larger positive entropy, where the first binding site has a stronger association.

Influence of chickpea protein on the pH and temperature dependent viscosity of carboxymethylated starch

Proteins can significantly improve the elasticity and microstructure of starch gels in food. In this work, the influence of chickpea protein flour on the viscoelastic behaviour of carboxymethylated starch (CMS, 92.6 mmol COOH kg−1) gels was studied as function of pH and temperature. A weight ratio CMS:protein flour of 1:0.45 was investigated in the pH range of pH 2.5–8. Above pH 7 presence of 7.5 %w/w chickpea flour lead to an increase in complex viscosity of a 16.5 %w/w CMS solution by a factor of 10. The interaction between CMS and protein above pH 4 accelerates gelation at 37 °C, resulting in an increase in viscosity by a factor of 5, 10 and 120 at pH 5, pH 7 and pH 8 respectively. Model calculations for species dissociation of ammonium groups in basic amino acids and carboxylate groups in CMS indicate that electrostatic interactions led to the observed increase in viscosity. The results form a general model to explain the pH-dependent viscoelastic behaviour of polysaccharide–protein mixtures. The understanding of the mechanism of action between protein and polysaccharides is a condition for targeted analysis and explanation of many phenomena of texture, stability and coacervate formation in food processing.

Machine learning approach for predicting the machining characteristics of additive manufactured ABS material

An Additive manufacturing process offers advantage for the production of intricate designs with increased efficiency and reduced material waste. In this research, an experimental and analysis work has been conducted to identify the significant 3-D printed input parameters effecting the output response characteristics as kerf width. The correlation between experimental and predicted values has been established through the application of Artificial Neural Network (ANN), Support Vector Machine Regression (SVMR), and Response Surface Methodology (RSM) techniques. The validation of predicted models conducted with the help of mean prediction error, maximum error and minimum error. The performance of ANN model was analyzed by feedforward-propagation method using Levenberg- Marquardt algorithm. The maximum prediction error investigated by ANN, SVM, and RSM were noted as 4.28, 5.18, and 5.84 respectively. The optical micrographs have been investigated to understand the hole and crater formation phenomenon.

Analysis of Dimple Formation Phenomenon of In-mold Injection Molding Using Polypropylene Decorative Sheet

Analysis of Dimple Formation Phenomenon of In-mold Injection Molding Using Polypropylene Decorative Sheet

A customised novel hybrid post-treatment process achieved excellent mechanical properties in additively manufactured Haynes 230 alloy

ABSTRACT It is challenging to maintain decent plasticity while increasing strength in laser powder bed fusion (LPBF) manufactured Haynes 230 alloy. The fundamental issue of both inadequate affected depth and deteriorated plasticity exists for laser shock peening (LSP). To address this problem, the treatment method of heat treatment plus laser shock peening (HT-LSP) was proposed. After heat treatment, dispersive M23C6 carbides were precipitated, and dislocation was predominately decreased inside grains but increased at grain boundaries. The junction of three imperfect dislocations was identified at M23C6 after HT-LSP treatment, indicating the novel phenomenon of twin formation via the polar-axis mechanism of dislocation proliferation, given the inhibition of intergranular transfer of dislocations and adequate clean rooms without dislocation clusters inside grains. Grain rotation occurred after HT-LSP derived from dynamic recrystallisation and twin distortion. The hardness along depth direction of the sample demonstrated the increased effective affected depth of LSP from 900 to 1400 μm after heat treatment. The shear strength of the HT-LSP sample was increased to 662 MPa. The elongation of the sample reaching 13.4% was also higher than that with LSP. The mechanical performance improvement was mainly due to the gradient twin layer, carbides’ precipitation and high-density dislocation.

Walk this way: modeling foraging ant dynamics in multiple food source environments

Foraging for resources is an essential process for the daily life of an ant colony. What makes this process so fascinating is the self-organization of ants into trails using chemical pheromone in the absence of direct communication. Here we present a stochastic lattice model that captures essential features of foraging ant dynamics inspired by recent agent-based models while forgoing more detailed interactions that may not be essential to trail formation. Nevertheless, our model’s results coincide with those presented in more sophisticated theoretical models and experiments. Furthermore, it captures the phenomenon of multiple trail formation in environments with multiple food sources. This latter phenomenon is not described well by other more detailed models. We complement the stochastic lattice model by describing a macroscopic PDE which captures the basic structure of lattice model. The PDE provides a continuum framework for the first-principle interactions described in the stochastic lattice model and is amenable to analysis. Linear stability analysis of this PDE facilitates a computational study of the impact various parameters impart on trail formation. We also highlight universal features of the modeling framework that may allow this simple formation to be used to study complex systems beyond ants.

Vortex confinement through an unquantized magnetic flux

Geometrically confined superconductors often experience a breakdown in the quantization of magnetic flux owing to the incomplete screening of the supercurrent against field penetration. In this study, we report that magnetic field confinement occurs regardless of the dimensionality of the system, even extending to 1D linear potential systems. By using a vector-field magnetic force microscope, we successfully create a vortex‒antivortex pair connected by a 1D unquantized magnetic flux in ultrathin superconducting films. Through an investigation of the manipulation and thermal behavior of the vortex pair, we uncover a long-range interaction mediated by the unquantized magnetic flux. These findings suggest a universal phenomenon of unquantized magnetic flux formation, independent of the geometry of the system. Our results present an experimental route for investigating the impact of confinement on superconducting properties and order parameters in unconventional superconductors characterized by extremely low dimensionality.

Primary alcohol-induced coacervation in alkyl polyglucoside micellar solution for supramolecular solvent-based microextraction and chromatographic determination of phthalates in baby food

This study reports for the first time the phenomenon of supramolecular solvent formation based on alkyl polyglucoside as an amphiphile and primary alcohol as a coacervation agent. The physical properties (density, kinematic viscosity, phase diagram for ternary system) of the supramolecular solvent were investigated, and a mechanism for its formation was proposed. A green and simple microextraction procedure for preconcentration and determination of phthalates in baby foods packaged in plastic packaging was developed as proof-of-concept example. The microextraction procedure assumed separation of analytes from solid phase sample in micellar solution of decyl glucoside and in situ formation of supramolecular solvent for analytes preconcentration after addition of n-heptanol. The determination of phthalates in obtained extracts was implemented by high-performance liquid chromatography with UV–Vis detection. The limits of detection, calculated from a blank test based on 3σ, were determined to be 10 μg kg−1 for dimethyl phthalate, diethyl phthalate, di-n-butyl phthalate, and di-n-octyl phthalate. The developed procedure did not require filtration of sample suspension, and assumed the use of green and biodegradable substances for the supramolecular solvent formation across a wide pH range.

WORD FORMATION THROUGH COMPOUNDING IN GEN-Z SLANG ON TIKTOK

Language is dynamic and reflective of societal changes, with Gen-Z, the first true digital natives, playing a pivotal role in linguistic evolution. This study examines the phenomenon of word formation through compounding in Gen-Z slang on TikTok, exploring its linguistic structures and meanings. By analyzing the common compounding patterns in Gen-Z slang, we gain insights into the creative processes and social influences shaping language use among this demographic. Utilizing a qualitative approach, data was collected from TikTok videos and comments between January 2023 and May 2024. The findings reveal 15 distinct compound words, with compound nouns being the most prevalent, followed by compound verbs and compound adjectives. Endocentric compounds were more common than exocentric ones. This research highlights the innovative nature of language within Generation Z, reflecting their values of self-expression, technological engagement, and creative problem-solving. The study underscores the role of social media in shaping contemporary language and provides a foundation for further exploration of linguistic innovations and their implications for language development and cultural expression in the digital age.

Forward-Forward Mean Field Games in Mathematical Modeling with Application to Opinion Formation and Voting Models

AbstractWhile the general theory for the terminal-initial value problem in mean-field games is widely used in many models of applied mathematics, the modeling potential of the corresponding forward-forward version is still under-considered. In this work, we discuss some features of the problem in a quite general setting and explain how it may be appropriate to model a system of players that have a complete knowledge of the past states of the system and are adapting to new information without any knowledge about the future. Then we show how forward-forward mean field games can be effectively used in mathematical models for opinion formation and other social phenomena.

Control of servo-hydraulic systems inspired by planet formation physics

This paper focuses on the design of a pioneering control method using Planet Formation realistic mechanical dynamics for controlling servo-hydraulic systems. We here provide a multifaceted study that includes: (1) the design of a new controller based on information related to four physical laws found in the Planet Formation phenomenon: gravity inside and outside protoplanets, drag force inside the protoplanets, and the accretion of matter around the protoplanet; (2) investigation of the necessary conditions to ensure stability of servo-hydraulic systems; (3) numerical tests under linear and nonlinear regimes. Results highlight the ability of this astrophysical-inspired controller to track various step trajectories, including under disturbances due to unmodeled frictions, ensuring a significant performance improvements over the PID and Sliding Mode controllers using four optimization criteria focused on energy minimization. Improvements up to 77.8% and 49.8% were found compared to PID and Sliding Mode controllers, respectively, for desired performance requirements. Such control approach holds great potential to open new impacting research directions towards the emerging of a new line of highly sophisticated astrophysical-inspired controllers, which can be easily adapted to a wide range of other servo-mechanical systems.

Theoretical model for predicting bubble formation from submerged orifices

Bubble diameter formed at submerged orifices is crucial and challenging to predict with a reliable universal model. A theoretical model covering a wide range of pore structures, operating conditions, and liquid properties for predicting bubble diameter based on bubble force equilibrium at the bubble detachment moment was proposed and verified with good prediction accuracy. The bubble-induced liquid velocity was incorporated to improve the prediction accuracy, and its underlying mechanism on bubble formation diameter was revealed. Additionally, the influencing mechanisms of orifice size, gas inlet velocity, and principal fluid properties on bubble formation diameter were elaborated systematically based on the new mathematical model, and the abnormal phenomenon of bubble formation under high temperatures and elevated pressures is clarified. Based on the proposed high-precision mechanistic model, the theoretical foundations for designing and scaling up industrial aerated reactors and scientific boundary conditions for numerical simulation are provided.

Cracking of submerged beds

We investigate the phenomena of crater formation and gas release caused by projectile impact on underwater beds, which occurs in many natural, geophysical and industrial applications. The bed in our experiment is constructed of hydrophobic particles, which trap a substantial amount of air in the pores of the bed. In contrast to dry beds, the air–water interface in a submerged bed generates a granular skin that provides rigidity to the medium by producing skin over the bulk. The projectile's energy is used to reorganize the grains, which causes the skin to crack, allowing the trapped air to escape. The morphology of the craters as a function of impact energy in submerged beds exhibits different scaling laws than what is known for dry beds. This phenomenon is attributed to the contact line motion on the hydrophobic fractal-like surface of submerged grains. The volume of the gas released is a function of multiple factors, chiefly the velocity of the projectile, depth of the bed and depth of the water column.

Modeling of scour hole characteristics under turbulent wall jets using machine learning

The novelty of the present study is to investigate the parameters that depict the scour hole characteristics caused by turbulent wall jets and develop new mathematical relationships for them. Four significant parameters i.e., depth of scouring, location of scour depth, height of the dune and location of dune crest are identified to represent a complete phenomenon of scour hole formation. From the gamma test, densimetric Froude number, apron length, tailwater level, and median sediment size are found to be the key parameters that affect these four dependent parameters. Utilizing the previous data sets, Multi Regression Analysis (linear and non-linear) has been performed to establish the relationships between the dependent parameters and influencing independent parameters. Further, artificial neural network-particle swarm optimisation (ANN-PSO) and gene expression programming (GEP) based models are developed using the available data. In addition, results obtained from these models are compared with proposed regression equations and the best models are identified employing statistical performance parameters. The performance of the ANN-PSO model (RMSE = 1.512, R2 = 0.605), (RMSE = 6.644, R2 = 0.681), (RMSE = 6.386, R2 = 0.727) and (RMSE = 1.754, R2 = 0.636) for predicting four significant parameters are more satisfactory than that of regression and other soft computing techniques. Overall, by analysing all the statistical parameters, uncertainty analysis and reliability index, ANN-PSO model shows good accuracy and predicts well as compared to other presented models.

Investigation on the cavitation characteristic of a novel cylindrical rotational hydrodynamic cavitation reactor

Hydrodynamic cavitation reactors are of great promise for the applications of chemical process intensification and water treatment. In this work, a novel cylindrical rotational hydrodynamic cavitation reactor (CRHCR) with rectangular grooves and oblique tooth protrusions on the rotor surface was studied. The three-dimensional characterization of cavitation within the CRHCR was observed from the front and left views by the high-speed camera experiments. Interestingly, a new phenomenon of simultaneous formation of the attached cavitation and shear cavitation was found in the CRHCR. The synergistic effect of attached cavitation and shear cavitation contributes to the enhancement of the cavitation performance of CRHCR. In addition, the evolution of attached cavitation is explored. It is found that attached cavitation forms a trapezoidal-shaped cavitation cloud in the groove, which undergoes three various stages: incipient, development, and collapse. Finally, the pulsation frequency and cavitation intensity of shear cavitation in the chamber were investigated. The results show that the cavitation pulsation frequency is the same at the same rotational speed in the chamber near diverse oblique teeth. As the rotational speed increases, the cavitation pulsation frequency increases linearly. These findings in this paper are of great benefit to understanding the mechanism of the cavitation effect of CRHCR.