Stradi-Granados Cloud Computing for Engineering Applications

1. Auflage 2020
ISBN: 978-3-030-40445-1
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 384 Seiten

This book explains the use of cloud computing systems for engineering applications to satisfy the need for enterprise level, state-of-the-art computational capacities at an affordable cost. As huge costs are involved in the maintenance and timely renovation of computational capabilities, particularly for projects that require significant computational capacity, cloud services can achieve considerable savings for users and organizations engaged in engineering research and development. Dr. Stradi-Granados explains how to extract a maximum value from every dollar invested in cloud computer server. The types of facilities located around the world that lease their resources to customers interested in reducing the internal overhead and implementation time. The volume features chapters on model generation, motion studies, and prototyping is ideal for students, researchers, practitioners, and facility's managers across a range of engineering domains.

Dr. Benito A. Stradi-Granados has 22 years of experience in higher education. He is in charge of the training of faculty members in Cloud Computing at the Institute of Technology of Costa Rica. A set of training sessions are provided on a semester basis to foster the use of Cloud Technologies. Through the Office of the Vice President for Research provides computational resources and support to faculty members, and to graduate students and industry as needed. He also teaches in the Departments of Chemical Engineering and Chemistry at the University of Costa Rica where he imparts classes on Process Control & Instrumentation and Process Design. He is author of a number of publications on the application of mathematical methods to process separations and financial markets. Professor Stradi-Granados has a long history of extension and collaboration with industry. He spent two years as an Assistant Professor in the Audubon Sugar Institute at Louisiana State University working on the biochemical and thermochemical conversion of biomass into fuels, both projects sponsored by the DOE. He holds the degrees of B. Sc. (U. of Missouri, USA) and Ph. D. (U. of Notre Dame, USA) in Chemical Engineering, a M. E. Sc. in Chemical and Biochemical Engineering from University of Western Ontario (Canada) and a M. Sc. (U. of Essex, UK) in Finance. A graduate from the UK's Chevening Program and Coca Cola's Latin America 2000 Fellowship Program, he continues to promote the new talent and leaders to guide industries and government into a sustainable challenging future.

Autoren/Hrsg.

Stradi-Granados, Benito A.

Inhaltsverzeichnis

1;Acknowledgements;5
2;Introduction;6
3;Contents;14
4;List of Figures;17
5;List of Tables;31
6;Chapter 1: From the Office to the Cloud, Why Should You Care?;32
6.1;1.1 What Is the Cloud?;32
6.2;1.2 Cloud Facilities;33
6.3;1.3 Cloud Computing;34
6.4;1.4 Role of Higher Management;35
6.5;1.5 Experience Developing Services;35
6.6;1.6 Cloud Services: IaaS, PaaS, SaaS, BPaaS;35
6.7;1.7 Starting Cloud Computing;36
6.8;1.8 Azure Global Distribution;42
6.9;1.9 Current Successes;43
6.10;1.10 Extract of Azure Virtual Machines;44
6.11;1.11 Use of Microsoft Azure Computational Capabilities in the Doctoral Curriculum;47
6.12;1.12 Commissioning a Virtual Machine in Microsoft Azure (Azure VM);47
6.13;1.13 Configuration Summary;55
6.14;1.14 Accessing Your Virtual Machine;56
6.15;1.15 Configuring Your Virtual Machine;59
6.16;1.16 Purchasing Rather Than Provisioning in Microsoft Windows Azure;59
6.17;1.17 Virtual Machine Dynamic IP Address;61
6.18;1.18 Security and Initial Settings;61
6.19;1.19 Computer Configuration for COMSOL Multiphysics©;68
6.20;1.20 Installation of COMSOL Multiphysics® 5.4;78
6.21;1.21 COMSOL Example: Computer Fan Modeling;85
6.22;Further Readings;87
7;Chapter 2: Generating a Model;88
7.1;2.1 Building a Model in COMSOL Multiphysics©;88
7.2;2.2 Defining the Physics Involved;89
7.3;2.3 Defining the Study;91
7.4;2.4 Building the Geometry;92
7.5;2.5 Selecting the Materials;96
7.6;2.6 CPU Consumption in the Cloud;109
7.7;2.7 Boundary Layers;112
7.8;2.8 Advanced Features: Batch Processing;114
7.9;2.9 Advanced Processing: Parametric Sweep;117
7.10;2.10 Case of the Turbulent Flow Fan: A More Elaborate Problem;129
7.11;Important Equations: Laminar Flow (spf);145
7.11.1;Appendix;145
7.11.1.1;Equation 1. Navier–Stokes Equation;145
7.11.1.2;Equation 2. Continuity Equation;146
7.11.1.3;Inlet;146
7.11.1.3.1;Equation 3. Inlet Velocity Equation;146
7.11.1.4;Outlet;146
7.11.1.4.1;Equation 4. Pressure Equation;146
7.11.1.5;Important Equations: Heat Transfer in Solids (ht);146
7.11.1.5.1;Equation 5. Heat Transfer in Solids Equation;146
7.11.1.5.2;Equation 6. Thermal Insulation Equation;146
7.11.1.5.3;Equation 7. Heat Transfer in Fluids;146
7.12;Further Readings;147
8;Chapter 3: Building a Prototype;148
8.1;3.1 The Solidworks Environment;148
8.2;3.2 Adding Elements to the Solid Frame;233
8.3;3.3 Creating Propeller for Fan;240
8.4;3.4 Creating Cylindrical Bushing for Fan Propeller;269
8.5;3.5 Assembly;272
9;Chapter 4: Motion Studies;300
9.1;4.1 Building a Motion Study;300
9.2;4.2 Flow Simulations;305
9.3;Further Readings;329
10;Chapter 5: Matlab Primer;330
10.1;5.1 Basic Annotation;330
10.2;5.2 Examples;330
10.3;5.3 Arithmetic Operators;331
10.4;5.4 Logical Operators;331
10.5;5.5 Naming Variables, Programs, and Subroutines;332
10.6;5.6 Loops;333
10.7;5.7 Matlab Number Format;333
10.8;5.8 Reading and Writing;334
10.9;5.9 Array Variables;335
10.10;5.10 Getting into Matlab;336
10.11;5.11 Variable Names;336
10.11.1;5.11.1 Matlab Uses;337
10.12;5.12 Exercise 1: Taylor Series;337
10.13;5.13 Exercise 2: Newton–Raphson Method;339
10.14;5.14 Exercise 3: Gauss Elimination;341
10.15;5.15 Exercise 4: LU Decomposition;341
10.16;5.16 Exercise 5: Trajectories and Tracking;342
10.17;5.17 Exercise 6: Trajectories and Tracking;345
10.18;5.18 Exercise 7: Parallel Processing;347
10.18.1;5.18.1 Determine the Processing Time for the Traditional for Loop.;348
10.18.2;5.18.2 Determine the Processing Time for the Parallel Processing parfor Loop.;348
10.18.3;5.18.3 How Many Workers Perform the Parallel Process?;348
10.19;Further Readings;357
11;Chapter 6: Shell Installation;358
11.1;6.1 Linux Systems;358
11.2;Further Readings;371
12;Notes;372
12.1;Solidworks;373
12.2;COMSOL Multiphysics©;374
12.3;Matlab;375
12.4;Operating System Windows;376
12.5;Operating System Linux;377
13;Index;378