Animation of Soap Bubble Dynamics, Cluster Formation and Collision

What is happening when a soap bubble floats on the air? How do bubbles coalesce to form beautiful three‐dimensional clusters? The physical‐based model and animation described herein provide the answers. This paper deals with a complete computer simulation of soap bubbles from a dynamic perspective, which should prove to be of great interest to physicists and mathematicians. We discuss the dynamic formation of irregular bubble clusters and how to animate bubbles. The resulting model takes into account surface tension, film elasticity, and shape variations due to gravity and external wind forces.     

Growth and detachment of chemical reaction-generated micro-bubbles on micro-textured catalyst

This work investigates the growth and detachment of chemically formed micro-bubbles on micro-textured catalyst using a high-speed digital camera and simulation results. Three bubble growth stages were identified for single bubbles grown on circular type Pt catalyst. The first stage was inertia-controlled and the bubble diameter was directly proportional to time, and pertained when the bubble size was smaller than the Pt catalyst; in the second and third stages, gas was generated at a constant rate and the bubble diameter was varied as the cube root of time. However, in the third stage, the bubble growth rate is slightly lower than in the second stage, suggesting saturation. The calculation based on a mathematical model at constant gas generation rate is highly consistent with experimental results. The basic single bubble growth phenomenon was then adopted as a comparison to the bubble growth phenomena on textured catalyst structures. Experimental results revealed that a discontinuous mesh catalyst can effectively shorten the bubble detachment time when the substructures are thoroughly separated and the bubbles are larger than their initial size (~5 μm), while the concentric circular pattern does not. This study provides an insight into the growth and detachment phenomena of chemically formed micro-bubbles on catalyst of different textures, which is useful to the design of reactors for fuel cell systems.     

Continuous awareness: A visual mobile approach

Facing the challenges of global distribution in software development, Continuous Coordination constitutes a new coordination paradigm that helps break the communication barriers in distributed teams by providing awareness information and integrating heterogeneous tools. Continuous Awareness is an extension of Continuous Coordination emphasizing continuous awareness support across space and time. Traditional desktop-based approaches are insufficient for the requirements of continuous awareness. Team Radar Mobile takes a visual mobile approach to awareness by extending the visualization of awareness information on desktop platforms to mobile platforms. The concept of continuous awareness and its implementation on multiple platforms are discussed. An experiment has evaluated the visual mobile approach to continuous awareness, and found visualization express awareness information more efficiently than the non-visual approach. Our work also provides experience on mobile visualization.     

An efficient heat-based model for solid-liquid-gas phase transition and dynamic interaction

For melting simulation, solid-liquid coupling, liquid-gas interaction, bubble/foam generation, etc., many new methods have been emerging in recent years in computer graphics. To further push advance the technical frontier of the aforementioned phenomena, our novel solution is to focus on an efficient heat-based method towards faithful simulation of physical procedures pertinent to phase transitions and their dynamic interactions. On the methodology aspect, this paper details a simplified temperature-based model to animate the phase transitions and their dynamic interactions, including melting, freezing, and vaporization, by integrating the latent heat model with relevant governing physical laws. On the numerical aspect, our framework supports a new algorithm aiming at tight coupling of heat transfer and multiphase FLIP-based fluids. Specifically for liquid-gas phase transition, we take into account the dissolved gas involved in liquid which further enhances the bubble generation effects. Besides the unique feature of heat transfer, we also devise a SPH-FLIP coupled model to simulate sub-grid bubbles, which enables three-phase dynamic interactions among solid, liquid, and gas. The extensive experiments show that our hybrid approach can simultaneously handle multi-phase transition driven by physics-based heat conditions, as well as the multi-phase dynamic interactions with high fidelity and visual appeal.     

Characterisation and control of bubbling behaviour in gas–solid fluidised beds

Bubbling fluidised beds are often exploited for the good mixing of phases they promote, which is required in many chemical processes. However, the bubbles cause heterogeneity in the fluidised system, and their dynamics must be understood for good process control. In this paper, the dynamic behaviour of the bubbles in a planar gas–solid fluidised bed is described analytically and experimentally validated. The bed resembles a temporary buffer of gas for which the bubble residence time in the bed is important. Subsequently, a closed-loop controller was developed using visual feedback to regulate the process.     

Visual spatio-temporal function-based querying

Visual interfaces are very important for human interactions in cyberworlds. Visual spatio-temporal querying should be one of the basic tools for data mining and retrieval in cyberworlds. In this paper, we propose a novel function-based query model for arbitrary shape spatio-temporal querying. The queries are defined as geometric shapes changing over time. In our model, data are interpreted geometrically as multidimensional points with time dimension or as moving points. The queries are formulated with geometric objects and operations over them to form the query solid changing over time. The proposed query model allows us to pose arbitrary shape spatio-temporal range queries. With the uniform geometric model we integrate visual mining and querying of time-dependent data employing 3D visualization tools. It allows for creating an intuitive visual interface using 2D projections of 3D query shapes. Our approach combines visualization of spatio-temporal data with visualization of the range query formulation employing very compact function-based query model. The implemented visual query system and its visual interface are proposed and described. An example of application of the system in analysis of simulation results in molecular dynamics is considered.     

Morphology and autowave metric on CNN applied to bubble-debris classification

We present the initial results of cellular neural network (CNN)-based autowave metric to high-speed pattern recognition of gray-scale images. The approach is applied to a problem involving separation of metallic wear debris particles from air bubbles. This problem arises in an optical-based system for determination of mechanical wear. This paper focuses on distinguishing debris particles suspended in the oil flow from air bubbles and using the CNN technology to create an online fault monitoring system. The goal is to develop a classification system with an extremely low false alarm rate for misclassified bubbles. The CNN algorithm detects and classifies single bubbles and bubble groups using binary morphology and autowave metric. The debris particles are separated based on autowave distances computed between bubble models and the unknown objects. Initial experiments indicate that the proposed algorithm is robust and noise tolerant and when implemented on a CNN universal chip it provides a solution in real time.     

World lines

In this paper we present World Lines as a novel interactive visualization that provides complete control over multiple heterogeneous simulation runs. In many application areas, decisions can only be made by exploring alternative scenarios. The goal of the suggested approach is to support users in this decision making process. In this setting, the data domain is extended to a set of alternative worlds where only one outcome will actually happen. World Lines integrate simulation, visualization and computational steering into a single unified system that is capable of dealing with the extended solution space. World Lines represent simulation runs as causally connected tracks that share a common time axis. This setup enables users to interfere and add new information quickly. A World Line is introduced as a visual combination of user events and their effects in order to present a possible future. To quickly find the most attractive outcome, we suggest World Lines as the governing component in a system of multiple linked views and a simulation component. World Lines employ linking and brushing to enable comparative visual analysis of multiple simulations in linked views. Analysis results can be mapped to various visual variables that World Lines provide in order to highlight the most compelling solutions. To demonstrate this technique we present a flooding scenario and show the usefulness of the integrated approach to support informed decision making.     

森林场景可视化和林火模拟仿真技术研究综述

森林是生态环境系统的重要组成部分。随着气候变暖,恶劣气候气象条件造成全球森林火灾频繁发生,给国民经济和消防救援带来巨大挑战,森林火灾已成为全球主要的自然灾害。因此,森林场景可视化建模、3维场景仿真、林火模拟仿真、火场复现、预测和灾害评估成为林业虚拟仿真研究热点。本文对树木形态结构建模技术、森林场景大规模重建和实时渲染、森林场景可视化、林火模型和林火模拟仿真等前沿技术和算法进行综述。对相关的林木、植被的形态结构表达和真实感可视化建模方法进行归纳分类,并对不同可视化方法的算法优劣、复杂度、实时渲染效率和适用场景进行讨论。基于规则的林木建模方法和基于林分特征的真实场景重建方法对大规模森林场景重建技术进行分类,基于物理模型、经验模型和半经验模型对森林火灾的林火模型、单木林火、多木林火模拟和蔓延进行总结,对影响林火蔓延的不同环境气象因子（如地形地貌、湿度、可燃物等）和森林分布对林火发生、扩散和蔓延的影响进行分析,对不同算法的优劣进行对比、分析和讨论,对森林场景可视化和林火模拟仿真技术未来的发展方向、存在问题和挑战进行展望。本文为基于森林真实场景的森林火灾模拟仿真和数字孪生沉浸式互动模拟系统的构建提供了理论方法基础,该平台可以实现森林场景快速构建、不同火源林火模拟、火场蔓延模拟仿真以及不同气象影响条件的火场预测,可对森林火场救援指挥、火场灾害评估和火场复原提供可视化决策支持。     

虚拟现实技术及矿井工业广场的可控可视化研究

根据煤矿设施规划与设计的特点 ,研究了实现矿井工业广场计算机立体模型可控可视化的技术途径 ,并应用虚拟现实开发软件MultiGen进行建模、在Vega中渲染、驱动 ,实现了矿井工业广场的可控可视化 ,为矿井总平面布置迅速提供多个三维可视化的方案 ,为其合理选择提供科学依据 ,而且为矿井工业广场的物流管理提供了先进、快捷的手段 ,也为虚拟现实技术在矿业工程中的进一步开发与应用奠定了基础     

Analysis of Long Molecular Dynamics Simulations Using Interactive Focus+Context Visualization

Analyzing molecular dynamics (MD) simulations is a key aspect to understand protein dynamics and function. With increasing computational power, it is now possible to generate very long and complex simulations, which are cumbersome to explore using traditional 3D animations of protein movements. Guided by requirements derived from multiple focus groups with protein engineering experts, we designed and developed a novel interactive visual analysis approach for long and crowded MD simulations. In this approach, we link a dynamic 3D focus+context visualization with a 2D chart of time series data to guide the detection and navigation towards important spatio‐temporal events. The 3D visualization renders elements of interest in more detail and increases the temporal resolution dependent on the time series data or the spatial region of interest. In case studies with different MD simulation data sets and research questions, we found that the proposed visual analysis approach facilitates exploratory analysis to generate, confirm, or reject hypotheses about causalities. Finally, we derived design guidelines for interactive visual analysis of complex MD simulation data.     

FoamVis: visualization of 2D foam simulation data

Research in the field of complex fluids such as polymer solutions, particulate suspensions and foams studies how the flow of fluids with different material parameters changes as a result of various constraints. Surface Evolver, the standard solver software used to generate foam simulations, provides large, complex, time-dependent data sets with hundreds or thousands of individual bubbles and thousands of time steps. However this software has limited visualization capabilities, and no foam specific visualization software exists. We describe the foam research application area where, we believe, visualization has an important role to play. We present a novel application that provides various techniques for visualization, exploration and analysis of time-dependent 2D foam simulation data. We show new features in foam simulation data and new insights into foam behavior discovered using our application.     

掺气水流图象检测中的一种气泡区域提取方法

针对掺气水流图象中气泡的提取问题,提出了一种基于块聚类的二维直方图综合算法.该算法首先采用将图象依次划分为不同大小的子块,并进行二值化处理的方法来解决强气泡信息遮蔽弱气泡信息的问题;然后用块聚类的方法识别出单纯背景子块,并对其进行特殊处理;接着对得到的二值图象进行评价子块划分,并依据所定义的评价函数进行气泡信息的综合处理;最后对原始图象中出现的,无法用图象分割手段分离的叠加气泡区域的面积,用统计特性分析的方法对其进行叠加纠正补偿,同时对所得到的气泡面积分布进行定量估计.大量的实验结果证明该算法是有效的.     

A visualization programming environment for multicomputers

The programming and run-time environment used for the authors' multicomputer visualization software are described. The particular approach to using multicomputers for scientific visualization provides a uniform interface to system and communications facilities and promotes modularity and code reuse. No breakthrough technology is involved; rather, a collection of methods that have been developed by others has been optimized for visual computing applications and unified into a system that is simple to use and easy to port to new hardware. The C language is used. Initial experience with the system has been good     

基于ResNet网络的医用塑瓶制造缺陷检测方法

本文提出一种基于深度学习的识别方法用于医用塑瓶气泡、积料等生产缺陷的实时检测,设计工业现场的视觉检测硬件平台,细述积料与气泡检测算法的原理,简述算法检测前的图像预处理。在Pytorch框架下通过ResNet系列算法与MobilenetV2算法的正交实验对积料检测实时性能进行比较,同时优化RetinaNet网络在气泡上的检测性能。在生产现场中该方法关于积料的平均检测精度为99.7%,单幅图片检测时间为29.7 ms;气泡的Fβ指数为99.5%,单幅图片检测时间为35.5 ms,达到企业生产的要求。     

Living in a bubble? Toward a unified bubble theory

We generalise the notion of a bubble beyond the financial domain, by showing how a single social mechanism, based on an information feedback-loop, explains both financial bubbles and other seemingly disparate social phenomena, such as the recognition of academic articles, website popularity, and the spread of rumours.

We discuss examples of phenomena explained by this bubble mechanism, as well as other phenomena that exhibit certain bubble characteristics, yet are not bubbles according to our model. Finally, we present mathematical mechanisms for two phenomena that conform with our model, and show by computer simulation how they exhibit bubble behaviour.     

Hub-based simulation and graphics hardware accelerated visualization for nanotechnology applications

The Network for Computational Nanotechnology (NCN) has developed a science gateway at nanoHUB.org for nanotechnology education and research. Remote users can browse through online seminars and courses, and launch sophisticated nanotechnology simulation tools, all within their web browser. Simulations are supported by a middleware that can route complex jobs to grid supercomputing resources. But what is truly unique about the middleware is the way that it uses hardware accelerated graphics to support both problem setup and result visualization. This paper describes the design and integration of a remote visualization framework into the nanoHUB for interactive visual analytics of nanotechnology simulations. Our services flexibly handle a variety of nanoscience simulations, render them utilizing graphics hardware acceleration in a scalable manner, and deliver them seamlessly through the middleware to the user. Rendering is done only on-demand, as needed, so each graphics hardware unit can simultaneously support many user sessions. Additionally, a novel node distribution scheme further improves our system's scalability. Our approach is not only efficient but also cost-effective. Only a half-dozen render nodes are anticipated to support hundreds of active tool sessions on the nanoHUB. Moreover, this architecture and visual analytics environment provides capabilities that can serve many areas of scientific simulation and analysis beyond nanotechnology with its ability to interactively analyze and visualize multivariate scalar and vector fields.     

多风格融合的复杂森林场景自适应可视化

为了保证森林场景可视化时的真实感,同时保持动态森林场景生成时间的恒定性,本文提出了一种多风格融合的复杂森林场景自适应可视化方法。该方法利用基于视距的模型分布函数来控制树木模型的分布比例,从而建立多风格融合的森林可视化模型;在此基础上,根据复杂森林场景中树木生长模型的计算时间、三维树木绘制时间的估算结果,以及树木的视觉重要性,确定生成森林场景的最佳方案。该方法能够使复杂动态森林场景的生成时间保持较好的稳定性,并且在可视化过程中根据仿真效果动态调整绘制策略。为了验证该方法的有效性和实用性,在动态生长的森林仿真场景中对本文的方法进行了实验和应用。应用结果表明,多风格融合的森林场景自适应可视化方法能在保证森林场景可视化真实感的基础上,有效地提升复杂森林场景的绘制速度,使森林场景的快速漫游具有更好的稳定性和流畅性。     

Particle‐based simulation of bubbles in water–solid interaction

In this paper, a particle‐based multiphase method for creating realistic animations of bubbles in water–solid interaction is presented. To generate bubbles from gas dissolved in the water on the fly, we propose an approximate model for the creation of bubbles, which takes into account the influence of gas concentration in the water, the solid material, and water–solid velocity difference. As the air particle on the bubble surface is treated as a virtual nucleation site, the bubble absorbs air from surrounding water and grows. The density and pressure forces of air bubbles are computed separately using smoothed particle hydrodynamics; then, the two‐way coupling of bubbles with water and solid is solved by a new drag force, so the generated bubbles’ flow on the surface of solid and the deformation in the rising process can be simulated. Additionally, touching bubbles merge together under the cohesion forces weighted by the smoothing kernel and velocity difference. The experimental results show that this method is capable of simulating bubbles in water–solid interaction under different physical conditions. Copyright © 2012 John Wiley & Sons, Ltd.