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0542-4422

Engineering design: introduction and methods

Also listed as: תכן הנדסי: מבוא ושיטות

Design as a method rather than as taste. Requirements, concept generation, selection matrices, embodiment, and enough optimisation to justify the linear algebra prerequisite.

Semester
Semester A
Weekly hours
4h
Counts as
Core: systems
Interest areas
Mechanical design

What it covers

Process and concepts

  • Design process models, systematic design, Pahl and Beitz, VDI 2221
  • From needs to requirements to a specification you can test against
  • Concept generation: functional decomposition, morphological analysis, TRIZ, biomimicry
  • Concept selection: Pugh matrices, weighted objectives, quality function deployment

Embodiment and manufacture

  • Embodiment and detail design
  • Design for manufacture and assembly
  • Tolerancing and geometric dimensioning and tolerancing
  • Cost estimation, lifecycle and sustainability

Optimisation and reliability

  • Design variables, objectives, constraints
  • Linear and basic nonlinear programming, gradient methods
  • Multi-objective design and Pareto fronts
  • Design of experiments and Taguchi robust design
  • Reliability, FMEA, project management, a team project and its documentation

Results worth carrying out

  • Weighted decision matrix

    Sj=i=1nwirijS_j = \sum_{i=1}^{n} w_i \, r_{ij}
  • Taguchi signal-to-noise, larger is better

    S/N=10log10 ⁣(1ni=1n1yi2)S/N = -10\log_{10}\!\left(\frac{1}{n}\sum_{i=1}^{n}\frac{1}{y_i^2}\right)
  • Karush–Kuhn–Tucker stationarity

    f(x)+iλigi(x)=0,λigi(x)=0\nabla f(x^*) + \sum_i \lambda_i \nabla g_i(x^*) = 0, \quad \lambda_i g_i(x^*) = 0

Figures worth knowing

  • Design-process flowcharts
  • House of Quality matrix
  • Pugh selection matrices
  • Morphological charts
  • Pareto fronts

Related courses

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