Modeling and simulation

About: Modeling and simulation is a research topic. Over the lifetime, 10273 publications have been published within this topic receiving 111550 citations.

Principles of modeling and simulation : a multidisciplinary approach

Abstract: Preface. Contributors. PART ONE: PRINCIPLES OF MODELING AND SIMULATION: A MULTIDISCIPLINARY APPROACH. Chapter 1: What is Modeling and Simulation? Introduction. Models: Approximations of Real World Events. A Brief History of Modeling and Simulation. Application Areas. Using Modeling and Simulation: Advantages and Disadvantages. Conclusion. Key Terms. Further Reading. References. Chapter 2: The Role of Modeling and Simulation. Introduction. Using Simulations to Solve Problems. Uncertainty and Its Effects. Gaining Insight. A Simulation's Lifetime. Conclusion. Key Terms. Further Reading. PART TWO: THEORETICAL UNDERPINNINGS. Chapter 3: Simulation: Models That Vary Over Time. Introduction. Discrete Event Simulation. Continuous Simulation. Conclusion. Key Terms. References. Chapter 4: Queue Modeling and Simulation. Introduction. Analytical Solution. Queuing Models. Sequential Simulation. SimPack Queuing Implementation. Parallel Simulation. Conclusion. Key Terms. Further Reading. References. Chapter 5: Human Interaction with Simulations. Introduction. Simulation and Data Dependency. Visual Representation. Conclusion. Key Terms. References. Chapter 6: Verification and Validation. Introduction. Performing Verification and Validation. Verification and Validation Examples. Conclusion. Key Terms. References. PART THREE: PRACTICAL DOMAINS. Chapter 7: Uses of Simulation. Introduction. The Many Facets of Simulation. Experimentation Aspect of Simulation. Experience Aspect of Simulation. Examples of Uses of Simulation. Ethics in the Use of Simulation. Some Excuses to Avoid Simulation. Conclusion. Key Terms. Further Exploration. References. Appendix A-Simulation Associations/Groups/Research Centers. CHAPTER 8: MODELING AND SIMULATION: REAL-WORLD EXAMPLES. Introduction. Transportation. Business M&S. Medical M&S. Social Science M&S. Conclusion. Key Terms. Further Reading. References. Chapter 9: The Future of Simulation. Introduction. A Brief ... and Selective ... History of Simulation. Convergent Simulations. Serious Games. Human-Simulator Interfaces. Computing Technology. The Role of Education in Simulation. The Future of Simulation. Index.

Black-Oil Simulations for Three-Component, Three-Phase Flow in Fractured Porous Media

Abstract: Discrete-fracture modeling and simulation of two-phase flow in realistic representations of fractured reservoirs can now be used for the design of IOR and EOR strategies. Thus far, however, discrete fracture simulators fail to include a third compressible gaseous phase. This hinders the investigation of the performance of gas-gravity drainage, water alternating gas injection, and blow-down in fractured reservoirs. Here we present a new numerical method that expands the capabilities of existing Black-Oil models for threecomponent – three-phase flow in three ways: (i) It utilizes a finite element - finite volume discretization generalized to unstructured hybrid element meshes. (ii) It employs higher-order accurate representations of the flux terms. (iii) Flash calculations are carried out with an improved equation of state allowing for a more realistic treatment of phase behavior. We illustrate the robustness of this numerical method in several applications. First, quasi-1D simulations are used to demonstrate grid convergence. Then, 2D discrete fracture models are employed to illustrate the impact of mesh quality on predicted production rates in discrete fracture models. Finally, the proposed method is used to simulate three-component – three-phase flow in a realistic 2D model of fractured limestone mapped in the Bristol Channel, U.K. and a 3D stochastically generated discrete fracture model.

A review of modeling and simulation of laser beam machining

Abstract: Laser beam machining (LBM) is a widely used thermal advance machining process capable of high accuracy machining of almost any material with complex geometries. CO 2 and Nd:YAG lasers are mostly used for industrial purposes. Drilling, cutting, grooving, turning and milling are the applications of LBM with different material removal mechanisms. Modeling and simulation of the LBM process is indispensable for optimization purposes. Modeling can be done by implementing analytical, numerical, experimental and artificial intelligence-based methods. This paper provides a review of the various methods used for modeling and simulation of the laser beam machining process as well as key researches done in this field so far.

Modeling the fluid dynamics of electrowetting on dielectric (EWOD)

Abstract: This paper discusses the modeling and simulation of a parallel-plate Electrowetting On Dielectric (EWOD) device that moves fluid droplets through surface tension effects. We model the fluid dynamics by using Hele-Shaw type equations with a focus on including the relevant boundary phenomena. Specifically, we show that contact angle saturation and hysteresis are needed to predict the correct shape and time scale of droplet motion. We demonstrate this by comparing our simulation to experimental data for a splitting droplet. Without these boundary effects, the simulation shows the droplet splitting into three pieces instead of two and the motion is over 15 times faster than the experiment. We then show how including the saturation characteristics of the device, and a simple model of contact angle hysteresis, allows the simulation to better predict the splitting experiment. The match is not perfect and suffers mainly because contact line pinning is not included. This is followed by a comparison between our simulation, whose parameters are now frozen, and a new experiment involving bulk droplet motion. Our numerical implementation uses the level set method, is fast, and is being used to design algorithms for the precise control of microdroplet motion, mixing, and splitting