Computational methods for engineering design

  • What is the purpose of computational methods?

    Machine learning is a computational method for achieving artificial intelligence by enabling a machine to solve problems without being problem-specific programming (Samuel, 1959)..

  • Why are computational techniques important?

    They can be used to explain complex tasks, scenarios, or situations.
    They can be used to model, represent, analyse, or summarise concepts, data, or processes.
    They can present information more succinctly and in ways that are easier to understand.
    They can offer alternative views as to how to solve problems..

  • Mechanical engineers design power-producing machines, such as electric generators, internal combustion engines, and steam and gas turbines, as well as power-using machines, such as refrigeration and air-conditioning systems.
Computational Engineering methods and frameworks include:
  • High performance computing and techniques to gain efficiency (through change in computer architecture, parallel algorithms etc.)
  • Modeling and simulation.
  • Algorithms for solving discrete and continuous problems.
  • Analysis and visualization of data.
Introduction to a wide range of computational techniques for engineering design. Modeling, simulation, optimization, design software, examples/projects with 

Scholarly articles for computational methods for engineering design

scholar.google.com › citationsComputational methods in engineering boundary value …
NaCited by 1097Computational methods in design theory
MathonCited by 38Computational optimization, methods and algorithms
KozielCited by 489
Introduction to a wide range of computational techniques for engineering design. Modeling, simulation, optimization, design software, examples/projects with 

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