Materials · Materials Selection

Materials Selection with Ashby Charts

Beginner 2 weeks 12-18 hours

Pick the best material for a real product using performance indices and Ashby-style charts built from free materials property data.

Major

Materials

Focus area

Materials Selection

Total hours

12-18 hours

What you'll need

  • Software only - Python or Excel, free materials databases (MatWeb)

Steps

  1. Pick a product, like a bike frame, phone case, or ladder.
  2. Define what the part must do and derive a performance index, like stiffness per weight.
  3. Collect property data for 15 or more candidate materials.
  4. Build Ashby-style charts in Python or Excel.
  5. Shortlist the top materials and weigh cost and manufacturability.
  6. Write a recommendation and document it for your portfolio.

What to photograph for your portfolio

  • Ashby chart
  • performance index calculation
  • shortlist table
  • final recommendation

Resume bullet starters

Copy one, then swap in your own numbers.

  • Selected a material for [product] by building Ashby-style charts from [X] candidate materials

  • Derived a performance index and narrowed candidates to a final choice balancing cost, weight, and strength

  • Quantified results with [insert your result, such as hardness change, strength, efficiency, or error vs published values] and summarized findings in a technical report

Skills you'll show off

Materials selectionperformance indicesdata visualizationengineering trade-offstechnical writing

Related Materials projects

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