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Adesanya Adebayo Adedapo
Introduction and Definitions
 Computer-Aided Engineering is the use of computer software to
  solve engineering problems with the improvement of graphics
  displays, engineering workstations, and graphics standards.
 Computer-aided design (CAD) is the use of computers in converting
  the initial idea for a product into a detailed engineering design. This
  typically involves the creation of geometric models of the
  product, which can be manipulated, analyzed, and refined. In
  CAD, computer graphics replace the sketches and engineering
  drawings traditionally used to visualize products and communicate
  design information (Concise Encyclopedia of Engineering, 2002).
 Engineers also use computer programs to estimate the performance
  and cost of design prototypes and to calculate the optimal values for
  design parameters. When combined with CAD, these automated
  analysis and optimization capabilities are called computer-aided
  engineering (CAE) (Concise Encyclopedia of Engineering, 2002).
Introduction and Definitions
              (Contd)
 A typical CAE software is made up of a number of mathematical
  models encoded by algorithms written in a programming language.
  The natural phenomena being analyzed are represented by an
  engineering model. The physical configuration is described by a
  geometric model. The results, together with the geometry, are made
  visible via a user interface on the display device and a rendering
  model (graphics image) (Bøhn & Myklebust).
Goals of CAE
 The goals of computer-aided engineering (CAE) include (MacKrell
    & Herzog):
   Improved product quality and safety
   Reduced engineering time, achieved through fewer design iterations
   Improved product functionality and usability
   Reduced number of prototypes, ultimately leading to their
    elimination in many cases
   Reduced product cost
Types of CAE Applications
 NX is a suite of integrated, fully associative CAD/CAM/CAE
  applications. NX simulation applications include dynamic motion
  simulation, linear and nonlinear stress analysis, system-level
  performance simulation, dynamic response simulation, vibration
  analysis, fluid flow and thermal analyses, durability analysis, multi-
  physics engineering analysis, and analysis to physical test
  correlation.
 Femap is a CAD-independent, Windows-native pre- and post-
  processor for advanced engineering FEA. It provides engineers and
  analysts with an FEA modelling solution to handle even the most
  complex tasks easily, accurately and affordably.
Scenarios and Applications of
               CAE
 Mechanical Engineering
1. Finite Element Analysis (FEA):
         Structural analysis of a component’s behaviour under
          various kinds of applied loads and supports e.g. Beam and
          Grid structures.
         Thermal analysis of a structure’s behaviour when it is
          subjected to heating and cooling.
         Combined structural and thermal analysis.

         Fluid mechanics analysis of the flow of fluids, such as
          air, water, and lubricants around the surfaces of an object.
          Pressure, fluid velocity, and other factors can be determined
Scenarios and Applications of
          CAE (Contd)
 Mechanical Engineering
2. Mechanism Analysis:
      Mechanism analysis studies the behaviour of mechanical
   systems       undergoing        motion.       Typically,     the
   geometry, mass, inertia, compliance, stiffness, and damping of
   the system’s components as well as the forces and loads applied
   from outside the system must be defined. Equations of motion
   are developed and solved. The results of the analysis may
   include     positions,    velocities,    accelerations,   forces
   (applied, reactive, and inertial), determination of equilibrium
   positions, and other computed parameters.
Scenarios and Applications of
       CAE (Contd)
Scenarios and Applications of
       CAE (Contd)
Scenarios and Applications of
          CAE (Contd)
 Civil Engineering
Most surveying functions, such as triangulation and elevation
  computations, are now computerized, with data being collected
  in computer form in the field via electronic instruments. Map
  making and analysis are also largely computerized nowadays.
 Electrical and Electronics Engineering
Many electrical applications outside the tools discussed make use
  of specialized tools for control system design and simulations.
  CAE aids engineers in testing simulated designs for control
  systems or other electronic devices to see how they operate
  before committing to manufacturing. In most cases, the
  computer simulation replaces altogether the building of a
  prototype.
Significance of CAE in
                Production
The benefits of CAE include reduced product development cost and
  time, with improved product quality and durability (CAE /
  Computer-Aided Engineering, 2012).
 Design decisions can be made based on their impact on performance.
 Designs can be evaluated and refined using computer simulations
  rather than physical prototype testing, saving money and time.
 CAE can provide performance insights earlier in the development
  process, when design changes are less expensive to make.
 CAE helps engineering teams manage risk and understand the
  performance implications, product behaviours and problems of their
  designs before it is put into production.
Significance of CAE in
           Production (Contd)
 CAE helps engineering teams manage risk and understand the
  performance implications, product behaviours and problems of their
  designs before it is put into production.
 Integrated CAE data and process management extends the ability to
  effectively leverage performance insights and improve designs to a
  broader community.
 Warranty exposure is reduced by identifying and eliminating
  potential problems. When properly integrated into product and
  manufacturing development, CAE can enable earlier problem
  resolution, which can dramatically reduce the costs associated with
  the product lifecycle.
Conclusion
Leveraging the power of Technology in various sectors of the economy
  has always helped in improving the systems and business processes.
  he involvement of computer systems in engineering processes has
  redefined and will continue to improve engineering functions.
References
 Bøhn, J. H., & Myklebust, A. (n.d.). Computer-Aided Engineering.
  549-554.
 CAE / Computer-Aided Engineering. (2012). Retrieved April
  15, 2012, from Product Life Cycle Management Incorporated:
  http://www.siemens.com
 Concise Encyclopedia of Engineering. (2002). Computer-Aided
  Design and Manufacturing . McGraw-Hill.
 MacKrell, J., & Herzog, B. (n.d.). Computer-Aided Engineering
  (CAE). 274-278.
Computer-Aided Engineering

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Computer-Aided Engineering

  • 2. Introduction and Definitions  Computer-Aided Engineering is the use of computer software to solve engineering problems with the improvement of graphics displays, engineering workstations, and graphics standards.  Computer-aided design (CAD) is the use of computers in converting the initial idea for a product into a detailed engineering design. This typically involves the creation of geometric models of the product, which can be manipulated, analyzed, and refined. In CAD, computer graphics replace the sketches and engineering drawings traditionally used to visualize products and communicate design information (Concise Encyclopedia of Engineering, 2002).  Engineers also use computer programs to estimate the performance and cost of design prototypes and to calculate the optimal values for design parameters. When combined with CAD, these automated analysis and optimization capabilities are called computer-aided engineering (CAE) (Concise Encyclopedia of Engineering, 2002).
  • 3. Introduction and Definitions (Contd)  A typical CAE software is made up of a number of mathematical models encoded by algorithms written in a programming language. The natural phenomena being analyzed are represented by an engineering model. The physical configuration is described by a geometric model. The results, together with the geometry, are made visible via a user interface on the display device and a rendering model (graphics image) (Bøhn & Myklebust).
  • 4. Goals of CAE  The goals of computer-aided engineering (CAE) include (MacKrell & Herzog):  Improved product quality and safety  Reduced engineering time, achieved through fewer design iterations  Improved product functionality and usability  Reduced number of prototypes, ultimately leading to their elimination in many cases  Reduced product cost
  • 5. Types of CAE Applications  NX is a suite of integrated, fully associative CAD/CAM/CAE applications. NX simulation applications include dynamic motion simulation, linear and nonlinear stress analysis, system-level performance simulation, dynamic response simulation, vibration analysis, fluid flow and thermal analyses, durability analysis, multi- physics engineering analysis, and analysis to physical test correlation.  Femap is a CAD-independent, Windows-native pre- and post- processor for advanced engineering FEA. It provides engineers and analysts with an FEA modelling solution to handle even the most complex tasks easily, accurately and affordably.
  • 6. Scenarios and Applications of CAE  Mechanical Engineering 1. Finite Element Analysis (FEA):  Structural analysis of a component’s behaviour under various kinds of applied loads and supports e.g. Beam and Grid structures.  Thermal analysis of a structure’s behaviour when it is subjected to heating and cooling.  Combined structural and thermal analysis.  Fluid mechanics analysis of the flow of fluids, such as air, water, and lubricants around the surfaces of an object. Pressure, fluid velocity, and other factors can be determined
  • 7. Scenarios and Applications of CAE (Contd)  Mechanical Engineering 2. Mechanism Analysis: Mechanism analysis studies the behaviour of mechanical systems undergoing motion. Typically, the geometry, mass, inertia, compliance, stiffness, and damping of the system’s components as well as the forces and loads applied from outside the system must be defined. Equations of motion are developed and solved. The results of the analysis may include positions, velocities, accelerations, forces (applied, reactive, and inertial), determination of equilibrium positions, and other computed parameters.
  • 8. Scenarios and Applications of CAE (Contd)
  • 9. Scenarios and Applications of CAE (Contd)
  • 10. Scenarios and Applications of CAE (Contd)  Civil Engineering Most surveying functions, such as triangulation and elevation computations, are now computerized, with data being collected in computer form in the field via electronic instruments. Map making and analysis are also largely computerized nowadays.  Electrical and Electronics Engineering Many electrical applications outside the tools discussed make use of specialized tools for control system design and simulations. CAE aids engineers in testing simulated designs for control systems or other electronic devices to see how they operate before committing to manufacturing. In most cases, the computer simulation replaces altogether the building of a prototype.
  • 11. Significance of CAE in Production The benefits of CAE include reduced product development cost and time, with improved product quality and durability (CAE / Computer-Aided Engineering, 2012).  Design decisions can be made based on their impact on performance.  Designs can be evaluated and refined using computer simulations rather than physical prototype testing, saving money and time.  CAE can provide performance insights earlier in the development process, when design changes are less expensive to make.  CAE helps engineering teams manage risk and understand the performance implications, product behaviours and problems of their designs before it is put into production.
  • 12. Significance of CAE in Production (Contd)  CAE helps engineering teams manage risk and understand the performance implications, product behaviours and problems of their designs before it is put into production.  Integrated CAE data and process management extends the ability to effectively leverage performance insights and improve designs to a broader community.  Warranty exposure is reduced by identifying and eliminating potential problems. When properly integrated into product and manufacturing development, CAE can enable earlier problem resolution, which can dramatically reduce the costs associated with the product lifecycle.
  • 13. Conclusion Leveraging the power of Technology in various sectors of the economy has always helped in improving the systems and business processes. he involvement of computer systems in engineering processes has redefined and will continue to improve engineering functions.
  • 14. References  Bøhn, J. H., & Myklebust, A. (n.d.). Computer-Aided Engineering. 549-554.  CAE / Computer-Aided Engineering. (2012). Retrieved April 15, 2012, from Product Life Cycle Management Incorporated: http://www.siemens.com  Concise Encyclopedia of Engineering. (2002). Computer-Aided Design and Manufacturing . McGraw-Hill.  MacKrell, J., & Herzog, B. (n.d.). Computer-Aided Engineering (CAE). 274-278.