How do sharks reduce drag? And what are the engineering applications? There are three types of drag present on the shark during locomotion. The first type of drag is known as frictional drag‚ which is the greatest element of drags in the shark. This is arises due to the friction created between the skin and the boundary layer and can be reduced with a condition that the boundary layer maintains a turbulent flow. The second type of drag is pressure drag‚ which causes by water deflecting off the moving
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volumes. Thereby‚ the solution domain is subdivided into a finite number of control volumes employing a suitable grid‚ which defines the control boundaries around a computational node in each control volume center. 6.1.1 Governing equations In fluid dynamics‚ the fluid flow is governed by the conservation laws for mass‚ momentum and energy. The basic conservation laws are formulated by using Leibniz-Reynolds transport theorem‚ which is an integral relation stating that the changes of some intensive property
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underground mine workings S.M. Aminossadati The University of Queensland‚ CRCMining‚ Brisbane‚ Australia K. Hooman The University of Queensland‚ Brisbane‚ Australia ABSTRACT: In recent years‚ Computational Fluid Dynamics‚ CFD‚ has been commonly utilized in the mining industry to model the fluid flow behavior in underground mine workings. This paper uses CFD modeling to simulate the airflow behavior in underground crosscut regions‚ where brattice sails are used to direct the airflow into these regions
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Dynamic Memory Allocation Every Data or Instruction to be processed must be loaded into internal memory before its processing takes place. This process is called Memory allocation. These are of two types: Static and Dynamic Memory Allocation. First let’s talk about Static memory allocation. Here we reserve a certain amount of memory by default inside our program to use for variables‚ etc and this static memory is allocated during the compilation of the Program. Once we reserve this memory
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On Dynamic Code Analysis Florin PETRESCU* * Student at “Politehnica” University of Timisoara ** Professor at “Politehnica” University of Timisoara *** Software Developer at Continental Automotive Romania Abstract - Dynamic code analysis represent the analysis of a software program that is performed through the execution of other computer programs that are built based on the analyzed program and run on a real or virtual processor. The objectives of the dynamic code analysis are to
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ISIMADE‚ Baden-Baden‚ 1999 Hydro Turbine Design in a VR Environment E. Goede 1) ‚ A. Kaps 1)‚ A. Ruprecht 1)‚ U. Woessner2) 1) 2) Institute for Fluid Mechanics and Hydraulic Machinery (IHS)‚ University of Stuttgart Computing Center (RUS)‚ University of Stuttgart Introduction Usually hydraulic turbines have to be designed individually according to the local operating conditions of power station such as discharge‚ head and given geometrical situations. This requires a tailor-made design
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No. Topics Page No Abstract 1. Introduction 2. Group Dynamics 1 M. Sahin 2.1. Advantages 1 2.1.1. Setting up Goals 1 2.1.2. Brain storming 1 2.1.3. Communication 2 2.2. Disadvantages 3 2.3. Advantages Vs Disadvantage (End Results) 5 3. Group Cohesiveness 7 J. Mahmoudi What is Group Cohesion? 7 3.1. Nature of Group Cohesiveness 3.2. Groups Goals 8 3.3. Measuring group cohesion 9 3.4. Developing cohesiveness
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Group Dynamics Within this essay I will reflect upon a specific issue of group dynamics that was experienced during a group exercise. Gibbs (1988) reflective model (Jasper‚ 2003. p.77) will be used to reflect upon the issue effectively and to set out the structure of reflection. Confidentiality and the GSCC code of practice will be kept to and maintained throughout this essay. The names of the people within the issues explained will be made up due to confidentiality. Group dynamics is that field
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Wuhan 430074‚ People’s Republic of China E-mail: sbchust@public.wuhan.cngb.com Received May 10‚ 1999; revised February 28‚ 2000 Most of the existing lattice Boltzmann BGK models (LBGK) can be viewed as compressible schemes to simulate incompressible fluid flows. The compressible effect might lead to some undesirable errors in numerical simulations. In this paper a LBGK model without compressible effect is designed for simulating incompressible flows. The incompressible Navier–Stokes equations are exactly
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DYNAMIC PROGRAMMING APPROACH TO EFFICIENT DECISION MAKING Shelly Sachdevaa Senior Lecturer‚ CS / IT Dept. JIITU‚ Noida. shelly.sachdeva@jiit.ac.in Phone No.:09810490704 a b Gauravb‚ Student‚ CS / IT Dept JIITU‚ Noida onmail.gaurav@gmail.com Phone No.: 09871277845 Prashant Malthotrac Student‚ CS / IT Dept JIITU‚ Noida first.prashant@gmail.com Phone No:09911867266 c ABSTRACT Decision support systems combine individuals ’ and computers ’ capabilities to improve the quality of decisions
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