General definition of the concept of virtual engineering (VE), including the main four key aspects of VE. Practical examples that would demonstrate server model (Integration of models, data, and other engineering information). The benefits and obstructions of computer-based models used within an industrial environment to solve problems in engineering. Evaluation of the capabilities and limitations of computer-based models related to computer aided design (CAD), computer aided manufacturing (CAM), finite element analysis (FEA), and computational fluid dynamics (CFD). Evaluation of the capabilities and limitations of computer-based models related to discretization techniques and linearization of nonlinear models. Evaluation of the methods used in solving problems in engineering, you may consider the following points in your evaluation: a. FEA and CFD discretization numerical methods b. Linearization of nonlinear model c. Differential equation modelling

Elements Of Electromagnetics
7th Edition
ISBN:9780190698614
Author:Sadiku, Matthew N. O.
Publisher:Sadiku, Matthew N. O.
ChapterMA: Math Assessment
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I want to answer all the questions by handwriting.
Problem 1:
You have been required to provide a survey and evaluation assessment of the role of computer-based
model in industrial applications and how it is used in solving problems in engineering considering the
following aspects:
General definition of the concept of virtual engineering (VE), including the main four key aspects of VE.
Practical examples that would demonstrate server model (Integration of models, data, and other
engineering information).
The benefits and obstructions of computer-based models used within an industrial environment to solve
problems in engineering.
Evaluation of the capabilities and limitations of computer-based models related to computer aided design
(CAD), computer aided manufacturing (CAM), finite element analysis (FEA), and computational fluid
dynamics (CFD).
Evaluation of the capabilities and limitations of computer-based models related to discretization
techniques and linearization of nonlinear models.
Evaluation of the methods used in solving problems in engineering, you may consider the following
points in your evaluation:
a. FEA and CFD discretization numerical methods
b. Linearization of nonlinear model
c. Differential equation modelling
"Critically evaluate and provide supported recommendations for the application of numerical
simulation using FEA and CFD based on differential equations to an industrial environment.
Your evaluation must discuss the capacities of improving the efficiency of the problem being
solved.
Transcribed Image Text:Problem 1: You have been required to provide a survey and evaluation assessment of the role of computer-based model in industrial applications and how it is used in solving problems in engineering considering the following aspects: General definition of the concept of virtual engineering (VE), including the main four key aspects of VE. Practical examples that would demonstrate server model (Integration of models, data, and other engineering information). The benefits and obstructions of computer-based models used within an industrial environment to solve problems in engineering. Evaluation of the capabilities and limitations of computer-based models related to computer aided design (CAD), computer aided manufacturing (CAM), finite element analysis (FEA), and computational fluid dynamics (CFD). Evaluation of the capabilities and limitations of computer-based models related to discretization techniques and linearization of nonlinear models. Evaluation of the methods used in solving problems in engineering, you may consider the following points in your evaluation: a. FEA and CFD discretization numerical methods b. Linearization of nonlinear model c. Differential equation modelling "Critically evaluate and provide supported recommendations for the application of numerical simulation using FEA and CFD based on differential equations to an industrial environment. Your evaluation must discuss the capacities of improving the efficiency of the problem being solved.
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